заявка
№ US 20150167086
МПК C12Q1/68

GENETIC MARKERS OF MENTAL ILLNESS

Авторы:
Mark David Brennan Timothy Lynn Ramsey BRENNAN MARK DAVID
Все (6)
Номер заявки
14517007
Дата подачи заявки
17.10.2014
Опубликовано
18.06.2015
Страна
US
Дата приоритета
15.12.2025
Номер приоритета
Страна приоритета
Как управлять
интеллектуальной собственностью
Реферат

This invention relates to genetic markers of mental illness, e.g., schizophrenia (SZ) and methods of use thereof.

Формула изобретения

1-47. (canceled)

48. A method of treating a human subject having schizophrenia (SZ), the method comprising:

selecting a human subject having SZ;

performing an assay to determine a diacylglycerol kinase beta (DGKB) haplotype in a sample comprising genomic DNA from the selected subject, wherein the DGKB haplotype comprises an allele of single nucleotide polymorphism rs1525094;

identifying a selected subject having a T allele at rs1525094 as more likely to have a positive response to treatment with risperidone compared to a subject having SZ and not having a T allele at rs1525094; and

administering a treatment comprising risperidone to a selected subject identified as having a T allele at rs1525094.

49. The method of claim 48, further comprising obtaining the sample comprising genomic DNA from the selected subject.

50. The method of claim 48, further comprising confirming a diagnosis of SZ in the selected subject using psychometric instruments.

51. The method of claim 48, further comprising selecting or excluding the selected subject for enrollment in a clinical trial based on the selected subject's DGKB haplotype.

52. The method of claim 48, further comprising stratifying a population of selected subjects for analysis of a clinical trial based on the DGKB haplotypes of the selected subjects.

53. The method of claim 48, further comprising stratifying the selected subjects into biologically similar groups based on their DGKB haplotypes in order to determine a differential diagnosis.

54. A method of treating a human subject having schizophrenia (SZ), the method comprising:

selecting a human subject having SZ;

performing an assay to determine a diacylglycerol kinase beta (DGKB) haplotype in a sample comprising genomic DNA from the selected subject, wherein the DGKB haplotype comprises an allele of single nucleotide polymorphism rs1525094;

identifying a selected subject having a T allele at rs1525094; and

administering a treatment comprising risperidone to a selected subject identified as having a T allele at rs1525094.

55. The method of claim 54, further comprising obtaining the sample comprising genomic DNA from the selected subject.

56. The method of claim 54, further comprising confirming a diagnosis of SZ in the selected subject using psychometric instruments.

57. The method of claim 54, further comprising selecting or excluding the selected subject for enrollment in a clinical trial based on the selected subject's DGKB haplotype.

58. The method of claim 54, further comprising stratifying a population of selected subjects for analysis of a clinical trial based on the DGKB haplotypes of the selected subjects.

59. The method of claim 54, further comprising stratifying the selected subjects into biologically similar groups based on their DGKB haplotypes in order to determine a differential diagnosis.

60. A method of treating a human subject having schizophrenia (SZ), the method comprising:

selecting a human subject having SZ;

performing an assay to determine a diacylglycerol kinase beta (DGKB) haplotype in a sample comprising genomic DNA from the selected subject, wherein the DGKB haplotype comprises an allele of single nucleotide polymorphism rs1525094;

identifying a selected subject having a T allele at rs1525094;

selecting a treatment comprising risperidone for a selected subject identified as having a T allele at rs1525094; and

administering a treatment comprising risperidone to a selected subject identified as having a T allele at rs1525094.

61. The method of claim 60, further comprising obtaining the sample comprising genomic DNA from the selected subject.

62. The method of claim 60, further comprising confirming a diagnosis of SZ in the selected subject using psychometric instruments.

63. The method of claim 60, further comprising selecting or excluding the selected subject for enrollment in a clinical trial based on the selected subject's DGKB haplotype.

64. The method of claim 60, further comprising stratifying a population of selected subjects for analysis of a clinical trial based on the DGKB haplotypes of the selected subjects.

65. The method of claim 60, further comprising stratifying the selected subjects into biologically similar groups based on their DGKB haplotypes in order to determine a differential diagnosis.

Описание

CLAIM OF PRIORITY

[0001]

This application is a divisional of U.S. patent application Ser. No. 12/523,252, filed Jul. 15, 2009, which is the U.S. National Stage under 35 USC §371 of International Application Number PCT/US2009/030057, filed on Jan. 2, 2009, which claims the benefit of U.S. Provisional Patent Application Ser. Nos. 61/018,534, filed on Jan. 2, 2008 and 61/021,756 filed on Jan. 17, 2008; the entire contents of the foregoing are hereby incorporated by reference.

FEDERALLY SPONSORED RESEARCH OR DEVELOPMENT

[0002]

This invention was made with Government support under Grant Nos. R43 MH078437, N01 MH900001, and MH074027, awarded by the National Institutes of Health. The Government has certain rights in the invention.

ACKNOWLEDGEMENT

[0003]

This invention was made with an award from the Kentucky Cabinet for Economic Development, Department of Commercialization and Innovation, under Grant Agreement KSTC-184-512-07-007 with the Kentucky Science and Technology Corporation.

TECHNICAL FIELD

[0004]

This invention relates to genetic markers of mental illness, e.g., schizophrenia (SZ), and methods of use thereof, e.g., for determining a subject's risk of developing a mental illness, e.g., SZ.

BACKGROUND

[0005]

Schizophrenia (SZ) is a severe and persistent debilitating psychiatric illness that is generally associated with considerable morbidity and extreme disability. Due to the severity of this disorder, especially the negative impact of a psychotic episode on a patient, and the diminishing recovery after each psychotic episode, there is a need to more conclusively identify individuals who have or are at risk of developing SZ, for example, to confirm clinical diagnoses, to allow for prophylactic therapies, to determine appropriate therapies based on their genotypic subtype, and to provide genetic counseling for prospective parents with a history of the disorder.

[0006]

Various genes and chromosomes have been implicated in etiology of SZ. Whole genome scans for genes involved in SZ and related SZ-spectrum disorders (including schizotypal personality disorder (SPD) and schizoaffective disorder (SD)) have implicated numerous autosomes as having a role in the genetic etiology of SZ and related SZ-spectrum disorders (Badner et al., Mol. Psychiatry 7:405-411 (2002) Bennett et al., Mol. Psychiatry 7:189-200 (2002) Cooper-Casey et al., Mol. Psychiatry 10:651-656 (2005) Devlin et al., Mol. Psychiatry 7:689-694 (2002) Fallin et al., Am. J. Hum. Genet. 73:601-611 (2003) Ginns et al., Proc. Natl. Acad. Sci. U.S.A 95:15531-15536 (1998) Jablensky, Mol. Psychiatry (2006) Kirov et al., J. Clin. Invest 115:1440-1448 (2005) Norton et al., Curr. Opin. Psychiatry 19:158-164 (2006) Owen et al., Mol. Psychiatry 9:14-27 (2004)). Generally, these linkage scans have are too low in resolution to identify specific genes, but increasingly, transmission disequilibrium (TDT, family-based association) and Case/Control association studies have evaluated a number of positional candidate genes with a good measure of success (Fallin et al., Am. J. Hum. Genet. 77:918-936 (2005)).

SUMMARY

[0007]

The invention includes methods for assessing genetic risk, aiding in diagnosis, and/or stratifying patient populations in order to select optimal treatments based on evaluation of single nucleotide polymorphisms (SNPs) for a number of bioinformatically identified genes on chromosomes 2 through 10 relating to SZ (which herein is broadly defined to include SZ-spectrum disorders, e.g., including schizophrenia (SZ), schizotypal personality disorder (SPD) and schizoaffective disorder (SD)). Exemplary SNPs delimiting each gene region (referred to herein as “delimiting SNPs”) are given along with exemplary test SNPs that can be used to capture significant haplotype variation in these genes. Important variants can be identified via TDT using families with multiple affected individuals (such as those collected CCGS) and verified by Case/Control comparisons using the SNP markers presented herein. Using SNP markers lying between the delimiting SNPs, inclusive, and identical to or in linkage disequilibrium with the exemplary SNPs, one can determine the haplotypes in these genes relating to genetic risk of developing SZ. These haplotypes can then be used to determine risk of developing SZ by Case/Control studies as shown in Example 1. The allelic and genotypic variants thus identified can be used for assessing genetic risk, to aid in diagnosis, and/or to stratify patient population in order to select optimal treatments (atypical antipsychotic, typical antipsychotic, and/or psychosocial intervention) for patients.

[0008]

Numerous pathways have been implicated in SZ etiology. As described herein, genes identified as associated with increased risk of SZ are involved in a number of pathways including: glutamate signaling and metabolism, cell adhesion, cytoskeletal architecture, vesicle formation and trafficking, G-protein coupled receptors, carrier proteins and transporters, ion channels (e.g., potassium channels), and potassium current signaling molecules, cell cycle modulators, neuronal development, calcium/calmodulin signaling, neuropeptide signaling, inositol signaling (e.g., phosphatidylinositol kinases), insulin signaling, diacylglycerol signaling, and several additional genes identified by virtue of their interaction with genes in high impact pathways and their expression in the central nervous system.

[0009]

Table A lists gene names and exemplary delimiting SNPs for bioinformatically-identified genes on chromosomes 2 through 10 relating to SZ-spectrum disorders. All of the genes are human.

[0000]

Exemplary Delimiting SNPs for Novel SZ Genes (NCBI Genome Build 36.2)
GeneChrom.SNP 1Location (bp)SNP 2Location (bp)
Exemplary Delimiting SNPs for Potassium Channel and Related Genes
KCNS32rs483250817,922,631rs671339517,979,084
SCN2A2rs1866603165,797,235rs2390258165,958,375
KCNJ132rs6748027233,337,796rs2289914233,350,474
PPP2R2C4rs46889936,372,297rs131170556,538,627
KCNIP15rs906362169,709,411rs1363714170,096,486
KCNMB15rs314155169,737,701rs10050842169,749,555
DPP67rs11243338154,060,128rs6943314154,317,099
KCNK98rs2072567140,684,469rs1946213140,796,115
Exemplary Delimiting SNPs for Cell Adhesion and Related Genes
ROBO13rs1192545278,727,759rs743267679,721,054
STIM24rs979078926,470,754rs1264292226,636,716
IQGAP25rs1094276875,733,527rs15233976,039,823
NRCAM7rs411444107,573,605rs726471107,889,582
SVEP19rs12237709112,171,460rs7862982112,382,006
PCDH1510rs1082511355,250,563rs1100458256,233,486
CTNNA310rs292430767,349,152rs1235727269,208,118
Exemplary Delimiting SNPs for Vesicle-Related Genes
ATP6V1C22rs88157210,774,588rs173443610,844,489
UNC5C4rs97560896,306,888rs135199996,694,337
TRIM235rs4321464,921,051rs24636764,956,247
SCAMP15rs453074177,691,868rs104681977,808,908
HMP195rs7341139173,405,426rs889076173,469,245
CPLX25rs1366116175,230,137rs13166213175,243,963
PTP4A38rs7388002142,500,226rs6987971142,511,720
KIAA03689rs2418157113,159,805rs1004282113,289,777
ZFYVE2710rs1078636899486351rs1256971199512252
Exemplary Delimiting SNPs for Genes Related to Glutamate Pathways
GLS2rs2204859191,445,118rs1168191,538,022
GRIP23rs903614,505,725rs1306225314,558,198
GADL13rs985062030,742,118rs679218630,867,723
BSN3rs381169749,565,774rs106096249,683,506
GRID24rs1701928393,409,221rs999821794,919,788
CTNND25rs71997611,014,721rs216887911,960,587
Exemplary Delimiting SNPs for G-Protein Coupled Receptor Related Genes
ENTPD33rs981723340,400,622rs984133540,450,862
GPR227rs10244871106,896,194rs3801954106,904,284
GPR857rs1575015112,505,828rs2140913112,515,289
GPR208rs7843131142,435,382rs7839244142,457,437
Exemplary Delimiting SNPs for Insulin, Inositol, and Diacylglyceride Related Genes
INPP12rs3791809190,917,963rs2736619190,945,317
DGKD2rs838717233,961,183rs1053895234,043,641
IHPK23rs485882848,699,815rs983499648,729,881
CBLB3rs9657914106,857,822rs7649466107,070,535
PIK3R15rs186216267,620,514rs929192667,635,412
DGKB7rs97986814,152,401rs228676814,847,769
PIK3CG1rs4730204106,292,293rs849412106,337,138
RGS39rs12338788115,253,879rs944343115,400,792
PAPPA9rs1331135117,953,446rs4837498118,205,606
PIK3AP110rs1118884498,341,753rs51632198,477,668
Exemplary Delimiting SNPs for Cytoskeletal, Myosin, Actin and Microtubule Related Genes
MYO1B2rs4853561191,815,951rs12623842191,998,183
CENTG22rs11685009236,064,152rs11899677236,697,576
MYRIP3rs204962539,825,450rs1308129440,276,277
TAGLN33rs2895389113,199,125rs1994733113,215,452
JAKMIP14rs168381206,105,620rs100038926,257,685
CENTD14rs1313947935,742,738rs1000791735,925,533
CENTG37rs10271154150,413,004rs7792368150,474,397
ACTR3B7rs4428589152,081,232rs7792217152,192,546
Exemplary Delimiting SNPs for Genes for Carrier Proteins and Transporters
SLC4A102rs979375162,177,134rs12617656162,559,393
SLC6A113rs260007210,832,067rs1112853210,952,277
SLC6A35rs125169481,444,369rs37564501,501,148
RHAG6rs1319795449,673,228rs251810049,717,093
SLC26A47rs2701685107,086,820rs2028030107,147,241
Exemplary Delimiting SNPs for Cell Cycle and Tumor Suppressor/Promoter Related Genes
NAG2rs466887715,217,311rs1269227515,634,232
TMEFF22rs10187928192,521,698rs3768703192,765,373
ABU2rs11682759203,900,446rs2250522204,009,541
PCNP3rs3762730102,775,025rs1476123102,796,103
IFT573rs428321109,362,676rs1289750109,423,148
STK105rs6555988171,402,438rs9313584171,550,429
MUSK9rs3001121112,469,774rs521803112,604,848
EDG29rs6833112,675,512rs4475574112,871,865
NEK69rs4838143126,057,457rs1330811126,157,167
Exemplary Delimiting SNPs for Genes Involved in Neuronal Development and Plasticity
NAB12rs1468684191,217,705rs6744503191,267,178
HECW22rs4524133196,770,952rs7577213197,165,486
NGEF2rs778371233,451,353rs6718480233,587,310
EPHA33rs1307429189,239,209rs211713889,614,212
GPRIN34rs89167490,385,182rs91961590,448,423
CRMP14rs37748825,872,823rs126472055,949,030
SNCA4rs35622190,861,487rs230113490,977,968
GPM6A4rs13132334176,790,331rs14711797177,161,710
NRN16rs18871315,942,618rs5822625,952,990
SLA8rs6982276134,115,488rs124527134,143,287
ASTN29rs1507909118,227,280rs1337213119,243,964
SLIT110rs1224094698746803rs375858798936234
Exemplary Delimiting SNPs for Neuropeptide Signaling Related Genes
NMUR12rs101725 95232,095,307rs10933376232,102,763
TRPM82rs1965629234,489,470rs2052029234,592,427
NMU4rs1313208556,154,842rs1251222056,204,050
TACR34rs3900348104,728,616rs3733631104,860,552
NLN5rs254878865,050,591rs373365765,157,124
NMUR25rs10476783151,749,148rs1422369151,772,803
Exemplary Delimiting SNPs for Calcium/Calmodulin Related Genes
VSNL12rs42482717,577,281rs271067217,705,119
HS1BP32rs1766264420,679,247rs224175620,715,089
PPP3CA4rs3804350102,166,953rs1125180102,540,653
CALN17rs227020970,885,187rs696100271,519,764
DFNB319rs10759694116,203,827rs1408524116,310,894
Exemplary Delimiting SNPs for Brain-expressed Genes (not otherwise specified)
ZNF6593rs37670321,431,174rs763482721,767,886
CHMP2B3rs227972087,359,389rs983645387,388,076
PPWD15rs43220664,894,443rs2714264,919,611
PDE8B5rs297233676,539,906rs33563676,760,355
FBXW115rs702110171,220,960rs6555982171,366,899
TSPAN137rs380750916,758,621rs103779116,791,187
PNPLA87rs6466238107,898,802rs40897107,954,026
TSNARE18rs10104269143,282,235rs7462663143,485,563
LYNX18rs7822193143,842,271rs6980609143,862,067
SGMS110rs648118351734434rs300185652071653
PRKG110rs1099555552503771rs1349953727731
LRRTM310rs214038168354632rs474665968537218

[0010]

In one aspect, the invention includes methods for obtaining information regarding a subject's risk for developing SZ, i.e., determining the subject's risk of developing SZ. The methods include obtaining a test haplotype associated with schizophrenia as described herein. The methods can also include obtaining a sample comprising genomic DNA (gDNA) from the subject, and determining the identity, absence or presence of a test haplotype associated with SZ as described herein. In some embodiments, the methods include obtaining a test haplotype for the subject comprising at least one test SNP marker that is found within the region delimited by SNP1 and SNP2, inclusive, for a given gene as specified in Table A, or comprising one or more of the exemplary SNP markers for each gene, as specified in the Examples and/or SNP markers in linkage disequilibrium with these markers, wherein the haplotype provides information regarding the subject's risk of developing SZ, SD, or SPD. In some embodiments, the test marker is a marker listed in one or more genes of Table A that is in linkage disequilibrium (defined by correlation, [r2]≧0.5) with a marker listed in Table A in Table B as shown in the Examples, wherein the haplotype provides information regarding the subject's risk of developing SZ, e.g., markers lying between the exemplary SNPs for a gene listed in Table A, but not explicitly listed in the Examples.

[0011]

In some embodiments, the test haplotype includes at least one marker lying between delimiting SNPs (SNP1 and SNP2), inclusive, for a given gene as specified in Table A, e.g., the exemplary delimiting SNPs listed in Table A; other delimiting SNPs can be chosen from other SNPs known in the art, e.g., the exemplary test SNPs described herein. In some embodiments, the test haplotype includes two or more markers from one gene. In some embodiments, the test genotype includes at least two markers, each from a different gene listed in Table A.

[0012]

In some embodiments, the test haplotype includes at least one marker lying between the SNP1 and SNP2, inclusive, for a given gene as specified in Table A and provides information regarding a subject's risk of developing SZ under a narrower (DSM III/DSM IV) disease definition.

[0013]

In some embodiments, the methods include obtaining a test haplotype for the subject by determining the genotype of at least one test marker listed in Table B, or a test marker that lies between the delimiting markers listed in Table A and that is in linkage disequilibrium (LD, defined by correlation, [r2]≧0.5) with markers listed in Table B, wherein the test haplotype indicates the subject's risk of developing SZ. In some embodiments, the at least one test marker is in a neuronal cell adhesion molecule (NRCAM) gene (e.g., GenBank Acc. No. NC000007.12 (107575318 . . . 107884062, complement)) or an intraflagellar transport 57 homolog (Chlamydomonas) (IFT57) gene (e.g., GenBank Acc. No. NC000003.10 (109362349 . . . 109423938, complement)). In some embodiments, the test marker is selected from the group consisting of rs11983886; rs441468; rs411444; rs439587; rs12670313; rs12537654; rs2142325; rs401433; rs409797; rs428459; rs6962066; rs381318; rs381318; rs409797; rs411444; rs428459; rs439587; rs441468; rs6958498; rs12670313; rs401433; rs404287; rs2142325; rs6962066; rs12537654; rs404287; rs6958498; rs326335; and rs16854283; or is a test marker in LD with these markers.

[0014]

In some embodiments, the methods described herein can be used for predicting a human subject's likely response to an antipsychotic medication. The methods include obtaining a test haplotype for the subject by determining the genotype for at least one test marker listed in Table B, or at least one test marker that lies between the delimiting markers in Table A and that is in linkage disequilibrium (LD) (defined by correlation, [r2]≧0.5) with a marker listed in Table B, wherein the test haplotype indicates the subject's likely response, e.g., likelihood of responding positively (i.e., an improvement in one or more symptoms of the disease) or negatively (i.e., with no improvement, or even a worsening, of one or more symptoms of the disease, or with excessive side effects) to an antipsychotic medication. A number of antipsychotic medications are known in the art and can include, for example, olanzapine, risperidone, quetiapine, perphenazine, and ziprasidone.

[0015]

In some embodiments, the treatment is administration of olanzapine, and the at least one test marker is in a gene selected from the group consisting of pregnancy-associated plasma protein A, pappalysin 1 (PAPPA), peptidylprolyl isomerase domain and WD repeat containing 1 (PPWD1) (e.g., GenBank Acc. No. NC000005.8 (64894891 . . . 64919129)), inositol polyphosphate-1-phosphatase (INPP1), and unc-5 homolog C (C. elegans) (UNC5C) (e.g., GenBank Acc. No. NC000004.10 (96308712 . . . 96689185, complement)). In some embodiments, the test marker is selected from the group consisting of rs1405; rs405485; rs407200; rs1888636; rs10817865; rs10983070; rs10983085; rs13290387; rs669571; rs27139; rs4656; rs2016037; rs10931450; rs7592352; and rs4699415; or is a test markers in LD with one of these markers, and the test haplotype indicates the subject's likely response to administration of olanzapine.

[0016]

In some embodiments, the treatment is administration of risperidone, and the at least one test marker is in a gene selected from the group consisting of roundabout, axon guidance receptor, homolog 1 (Drosophila) (ROBO1) (e.g., GenBank Acc. No. NC000003.10 (78729080 . . . 79721751, complement)), solute carrier family 4, sodium bicarbonate transporter, member 10 (SLC4A10) (e.g., GenBank Ace. No. NC000002.10 (162189091 . . . 162550032)), astrotactin 2 (ASTN2) (e.g., GenBank Acc. No. NC000009.10 (118227328 . . . 119217138, complement)), or protocadherin 15 (PCDH15) (e.g., GenBank Acc. No. NC000010.9 (55250866 . . . 56231057, complement)). In some embodiments, the test marker further is selected from the group consisting of rs3773190; rs11925452; rs1372332; rs4519000; rs10825169; rs2921922; rs1900438; rs10825150; rs17644321; rs11004028; and rs12617656; or is a test marker that is in linkage disequilibrium with one of these markers. The test haplotype indicates the subject's likely response to administration of risperidone.

[0017]

In some embodiments, the treatment is administration of quetiapine, and the at least one test marker is in a gene selected from the group consisting of catenin (cadherin-associated protein), alpha 3 (CTNNA3) (e.g., GenBank Acc. No. NC000010.9 (67349937 . . . 69125933, complement), potassium inwardly-rectifying channel, subfamily J, member 13 (KCNJ13) (e.g., GenBank Acc. No. NC000002.10 (233339104 . . . 233349519, complement)), zinc finger protein 659 (ZNF659) (e.g., GenBank Acc. No. NC000003.10 (21437651 . . . 21767820, complement)), and sushi, von Willebrand factor type A, EGF and pentraxin domain containing 1 (SVEP1) (e.g., GenBank Acc. No. NC000009.10 (112167349 . . . 112381981, complement)). In some embodiments, the test marker further is selected from the group consisting of: rs10762170; rs10822976; rs12265366; rs1925570; rs2147886; rs2894028; rs4746659; rs7074696; rs1801251; rs2054942; and rs7038903; or is a test marker that is in linkage disequilibrium with one of these markers. The test haplotype indicates the subject's likely response to administration of quetiapine.

[0018]

In some embodiments, the treatment is administration of perphenazine, and the at least one test marker is in a gene selected from the group consisting of neuromedin U receptor 1 (NMUR1), (e.g., GenBank Acc. No. NC000002.10 (232096116 . . . 232103452, complement)), IQ motif containing GTPase activating protein 2 (IQGAP2) (e.g., GenBank Acc. No. NC000005.8 (75734905 . . . 76039713)), and EPH receptor A3 (EPHA3) (e.g., GenBank Acc. No. NC000003.10 (89239364 . . . 89613974)). In some embodiments, the test marker further is selected from the group consisting of: rs10933376; rs7722711; rs6453217; rs6453217; rs9835094; rs13074291; and rs7646842; or is a test marker that is in linkage disequilibrium with one of these markers. The test haplotype indicates the subject's likely response to perphenazine.

[0019]

In some embodiments, the treatment is administration of ziprasidone, and the at least one test marker is in a gene selected from the group consisting of HCLS1 binding protein 3 (HS1BP3) (e.g., GenBank Acc. No. NC000002.10 (20681045 . . . 20714345, complement)), HMP19 protein (HMP19) (e.g., GenBank Acc. No. NC000005.8 (173405330 . . . 173468788)), and phosphodiesterase 8B (PDE8B) (e.g., GenBank Acc. No. NC000005.8 (76542462 . . . 76758999)). In some embodiments, the test marker further selected from the group consisting of: rs4666449; rs10166174; rs3811980; rs4457100; and rs11953611; or is a test marker that is in linkage disequilibrium with one of these markers. The test haplotype indicates the subject's likely response to administration of ziprasidone.

[0020]

In some embodiments, the treatment is administration of an antipsychotic drug, and the at least one test marker is in a gene selected from the group consisting of neuroblastoma-amplified protein (NAG) (e.g., GenBank Acc. No. NC000002.10 (15224483 . . . 15618905, complement)), NIMA (never in mitosis gene a)-related kinase 6 (NEK6) (e.g., GenBank Acc. No. NC000009.10 (126060070 . . . 126154542)), serine/threonine kinase 10 (STK10) (e.g., GenBank Acc. No. NC000005.8 (171401679 . . . 171547951, complement)), and phosphoinositide-3-kinase adaptor protein 1 (PIK3AP1) (e.g., GenBank Acc. No. NC000010.9 (98343059 . . . 98470269, complement)). In some embodiments, the test marker is further selected from the group consisting of: rs2302941; rs4668909; rs13029846; rs12692275; rs2065221; rs10760348; rs748741; rs563654; and rs11134732, or is a test marker that is in linkage disequilibrium with one of these markers. The test haplotype indicates the subject's likely response to administration of an antipsychotic.

[0021]

In some embodiments, the test haplotype provides information regarding a subject's risk (or likelihood) of having a particular endophenotype, and/or a higher or lower level (e.g., severity) of the endophenotype, e.g., of one or more specific parameters of the PANSS scale, e.g., one or more symptoms, e.g., hallucinations, paranoia, anxiety, depression, or grandiosity, as well as response or lack of response to drugs and comorbidity for substance and alcohol abuse.

[0022]

In another aspect, the invention provides methods for predicting the degree of severity of a psychiatric endophenotype in a human subject. The methods include obtaining a test haplotype for the subject by determining the genotype for at least one test marker listed in Table B, or at least one test markers that lies between the delimiting markers listed in Table A and that is in linkage disequilibrium (LD) defined by correlation, [r2]≧0.5) with a marker in Table B, wherein the test haplotype indicates the likely degree of severity of a psychiatric endophenotype in the subject. In some embodiments, the psychiatric endophenotype is a quantitative trait that can be measured using one or more of PANSS Total composite score, PANSS Positive composite score, PANSS Negative composite score, and PANSS General Psychopathology composite score.

[0023]

In some embodiments, the one or more test markers are from potassium voltage-gated channel, delayed-rectifier, subfamily S, member 3 (KCNS3) (e.g., GenBank Acc. No. NC000002.10 (17923426 . . . 17977706)), Cas-Br-M (murine) ecotropic retroviral transforming sequence b (CBLB) (e.g., GenBank Acc. No. NC000003.10 (106859799 . . . 107070577, complement)), janus kinase and microtubule interacting protein 1 (JAKMIP1) (e.g., GenBank Acc. No. NC000004.10 (6078827 . . . 6253219, complement)), or neurolysin (metallopeptidase M3 family) (NLN) (e.g., GenBank Acc. No. NC000005.8 (65053841 . . . 65155149)) genes. In some embodiments, the test marker is selected from among the group consisting of rs6713395; rs4832524; rs10804442; rs13060223; rs6807382; rs7645021; rs7649466; rs1514326; rs6446469; rs252637; and rs34980; or is a test marker in linkage disequilibrium with one of these markers. The test haplotype indicates the likely degree of severity of a psychiatric endophenotype in the subject.

[0024]

In some embodiments, the psychiatric endophenotype comprises one or more of: a Positive Symptom selected from the group consisting of P1-delusions, P2-conceptual disorganization, P3-hallucinatory behavior, P4-exitement, P5-grandiosity, P6-suspiciousness, P7-hostility; a Negative Symptom selected from the group consisting of N1-blunted affect, N2-emotional withdrawal, N3-poor rapport, N4-passive/appathetic social withdrawal, N5-difficulty in abstract thinking, N60 lack of spontaneity and flow of conversation, N7-steryotyped thinking; or a general psychopathology symptom selected from the group consisting of G1-somatic concern, G2-anxiety, G3-guilt feelings, G4-tension, G5-mannerisms and posturing, G6-depression, G7-motor retardation, G8-uncooperativeness, G9-unusual thought content, G10-disorentation, G11-poor attention, G12-lack of judgment and insight, G13 disturbance of volition, G14-poor impulse control, G15-preoccupation, and G16-active social avoidance.

[0025]

In some embodiments, the at least one test marker is from a gene selected from the group consisting of ATPase, H+ transporting, lysosomal V1 subunit C2 (ATP6V1C2) (e.g., GenBank Acc. No. NC000002.10 (10779226 . . . 10842687)), glutamate decarboxylase-like 1 (GADL1) (e.g., GenBank Ace. No. NC000003.10 (30742696 . . . 30867341, complement)), catenin (cadherin-associated protein), delta 2 (neural plakophilin-related arm-repeat protein) (CTNND2) (e.g., GenBank Ace. No. NC000005.8 (11024952 . . . 11957110, complement)), diacylglycerol kinase, beta 90 kDa (DGKB) (e.g., GenBank Acc. No., and calneuron 1(CALN1) (e.g., GenBank Acc. No. NC000007.12 (14153770 . . . 14847413, complement)). In some embodiments, the test marker further is selected from the group consisting of rs4669613; rs9850620; rs711684; rs1393748; rs9823803; rs10036380; rs1697902; rs249264; rs249264; rs2530910; rs2530910; rs258630; rs2727591; rs2727591; rs2973488; rs10229537; rs10255136; rs10255136; rs10255136; rs1232514; rs1232515; rs1232515; rs1232515; rs573092; rs573092; rs573092; and rs6461117; or is a test marker that is in linkage disequilibrium with one of these markers. The test haplotype indicates the likely severity of a psychiatric endophenotype in the subject.

[0026]

The methods described herein can include obtaining a haplotype that includes two or more, e.g., two, three, four, five, or six markers.

[0027]

Additionally, the methods can include determining the presence or absence of other markers known to be associated with SZ, SD, or SPD, e.g., outside of a region identified herein. A number of other such markers are known in the art, e.g., as described herein.

[0028]

The subject can be a human (e.g., a patient having, or at risk of SZ). In one embodiment, the subject is a patient having previously diagnosed SZ, SD, or SPD (e.g., a patient suffering from early, intermediate or aggressive SZ, SD, or SPD). In some embodiments, the methods described herein are used to obtain information regarding a subject's risk of developing SZ wherein the disorder is other than catatonic schizophrenia. In some embodiments, the subject is of Caucasian (CA) descent, i.e., has one or more ancestors who are CA.

[0029]

In one embodiment, a subject to be evaluated by a method described herein is a subject having one or more risk factors associated with SZ, SD, or SPD. For example, the subject may have a relative afflicted with SZ, e.g., one or more of a grandparent, parent, uncle or aunt, sibling, or child who has or had SZ, SD, or SPD; the subject may have a genetically based phenotypic trait associated with risk for SZ, SD, or SPD (e.g., eye tracking dysfunction); deficits in working (short-term) memory; and/or mixed-handedness (the use of different hands for different tasks), particularly in females.

[0030]

In some embodiments, the subject is a child, fetus, or embryo, and one of the subject's relatives, e.g., a parent or sibling, of the child, fetus, or embryo has SZ, SD, or SPD. In this case, the presence in the child, fetus, or embryo of a haplotype described herein that is shared with the affected parent, but not with the non-affected parent, indicates that the child, fetus, or embryo has an increased risk of developing SZ. In some embodiments, the subject has no overt or clinical signs of SZ, SD, or SPD.

[0031]

In some embodiments, obtaining a test haplotype includes obtaining a sample comprising DNA from the subject; and determining the identity, presence or absence of at least one test marker that is SNP marker that is found within the region delimited by SNP1 and SNP2, inclusive, for a given as specified in Table A, or comprising one or more of the exemplary SNP markers for each gene, as specified in the Table B and/or SNP markers in linkage disequilibrium with these markers (in the particular population) in the DNA. The sample can be obtained, e.g., from the subject by a health care provider, or provided by the subject without the assistance of a health care provider.

[0032]

In some embodiments, obtaining a test haplotype includes reviewing a subject's medical history, wherein the medical history includes information regarding the presence or absence of at least one test SNP marker that is found within the region delimited by SNP1 and SNP2, inclusive, for a given gene as specified in Table A, or comprising one or more of the exemplary SNP markers for each gene, as specified in Table B, and/or SNP markers in linkage disequilibrium with these markers, in the subject.

[0033]

In some embodiments, the methods described herein include obtaining a reference haplotype including a reference marker that corresponds to a test marker, and comparing the test haplotype to the reference haplotype. A reference marker that “corresponds to” a test marker is the same marker. For example, if the test haplotype includes rs12784975 in the PIK3AP1 gene, then the reference haplotype should also include rs12784975 for comparison purposes; or if the test haplotype includes rs11134732 in the STK10 gene, then the reference haplotype should also include rs11134732 for comparison purposes. In methods where the haplotype analysis is performed to determine risk of developing SZ, the sharing of a haplotype (e.g., of some or all of the marker alleles) between the test haplotype and a reference haplotype is indicative of whether there is an increased likelihood that the subject will develop SZ. The reference haplotype can be from a relative, e.g., a first or second degree relative, or from an unrelated individual (or population), that has been identified as either having or not having SZ, SD, or SPD. Optionally, a reference haplotype is also obtained from an unaffected person, e.g., an unaffected relative, and lack of sharing of a haplotype of a haplotype between the test haplotype and the reference haplotype indicates that the subject has an increased risk of developing SZ.

[0034]

In methods where the haplotype analysis is performed to determine risk of having a particular endophenotype or endophenotype severity (e.g., on the PANSS scale), the sharing of a haplotype (e.g., of some or all of the marker alleles) between the test haplotype and a reference haplotype is indicative of whether there is an increased likelihood that the subject will have an elevated (high) or low value for that specific endophenotype. For example, the reference haplotype can be from a relative, e.g., a first or second degree relative, or from an unrelated individual (or population), e.g., a person that has been diagnosed with SZ, and further identified as either having or not having an elevated value for the specific endophenotype. In some embodiments, the presence of the haplotype does not indicate the presence or absence of a specific phenotype, but rather the degree to which the phenotype occurs, e.g., on the PANSS scale; as one example, alleles of the marker rs6887277 can impact the severity of hallucination not necessarily its presence or absence of hallucinations.

[0035]

In methods where the haplotype analysis is performed to predict response to a particular treatment, the sharing of a haplotype (e.g., of some or all of the marker alleles) between the test haplotype and a reference haplotype is indicative of how the subject is likely to respond to the treatment. For example, the reference haplotype can be from a relative, e.g., a first or second degree relative, or from an unrelated individual (or population), that has been diagnosed with SZ and further identified as responding positively (i.e., with an improvement in one or more symptoms of the disease) or negatively (i.e., with no improvement, or even a worsening, of one or more symptoms of the disease, or with excessive side effects).

[0036]

In some embodiments, the methods include administering a treatment to a subject identified as being at increased risk for developing SZ, e.g., a pharmacological treatment as described herein. In some embodiments, the subject has no overt or clinical signs of SZ, SD, or SPD, and the treatment is administrated before any such signs appear.

[0037]

Information obtained using a method described herein can be used, e.g., to select a subject population for a clinical trial, to stratify a subject population in a clinical trial, and/or to stratify subjects that respond to a treatment from those who do not respond to a treatment, or subjects that have negative side effects from those who do not.

[0038]

In another aspect, the invention provides methods for selecting a subject for inclusion in a clinical trial, e.g., a trial of a treatment for SZ, SD, or SPD. The methods include obtaining a haplotype for the subject including at least one marker that is found within the region delimited by SNP1 and SNP2, inclusive, for a given gene as specified in Table A, or comprising one or more of the exemplary SNP markers for each gene, as specified in the Table B and/or SNP markers in linkage disequilibrium with these markers e.g. as shown in the Examples; determining whether the haplotype is associated with an increased risk of developing SZ; and including the subject in the trial or excluding the subject from the trial if the haplotype indicates that the subject has altered drug response for patients with SZ, SD, or SPD.

[0039]

In another aspect, the invention provides methods for selecting a subject for administration of a treatment for schizophrenia (SZ). The methods include obtaining a haplotype for the subject, wherein the haplotype comprises at least one marker that is listed in Table B, or is in linkage disequilibrium with a marker listed in Table B, as exemplified by the Markers listed in Table C; determining whether the haplotype is associated with altered (e.g., positive or negative) treatment response for patients with SZ; and administering the treatment to the subject if the haplotype indicates that the subject has an improved response to the treatment. In another aspect, the invention provides methods for selecting a treatment for administration to a subject. The methods include obtaining a haplotype for the subject, wherein the haplotype comprises at least one marker that is listed in Table B, or is in linkage disequilibrium unit with a marker listed in Table B; determining whether the haplotype is associated with altered (e.g., positive or negative) treatment response for patients with schizophrenia (SZ); and administering the treatment for SZ to the subject if the haplotype indicates that the subject has an improved response to the treatment.

[0040]

In another aspect, the invention provides methods for evaluating the effect of a haplotype on the outcome of a treatment for schizophrenia (SZ). The methods include obtaining information regarding outcome of the treatment, wherein the information comprises a parameter relating to the treatment of each subject in a population of subjects; obtaining haplotypes for each subject in the population, wherein the haplotype comprises at least one marker that is listed in Table B, or is in linkage disequilibrium with a marker listed in Table B; and correlating the information regarding outcome with the haplotypes; thereby evaluating the effect of the haplotype on the outcome of the treatment.

[0041]

In some embodiments, the method includes selecting a treatment for administration to a subject who has a selected haplotype, based on the effect of the haplotype on the outcome of the treatment.

[0042]

In some embodiments, the information regarding outcome of the treatment is from a completed clinical trial, and the analysis is retrospective.

[0043]

In a further aspect, the invention features methods for detecting the presence of a haplotype associated with susceptibility to SZ (broadly defined as including, in addition to narrowly defined SZ, SD or SPD) in a subject, by analyzing a sample of DNA from the subject.

[0044]

Additionally, the invention features methods of predicting a test subject's risk of developing SZ. The methods include obtaining a reference haplotype of a reference subject, wherein the reference subject has SZ, SD, or SPD; determining a test haplotype of the test subject in the same region; and comparing the test haplotype to the reference haplotype, wherein the sharing of a haplotype in this region between the test subject and the reference subject is an indication of an increased likelihood that the test subject will develop SZ. In some embodiments, the method further includes comparing the subject's haplotype to a reference subject who does not have SZ, SD, or SPD.

[0045]

Further, the invention features methods for predicting a test subject's risk of developing SZ. The methods include obtaining a reference haplotype of a reference subject in a region described herein, wherein the reference subject has SZ; obtaining a test haplotype of the test subject in the same region; and comparing the test haplotype to the reference haplotype. The sharing of a haplotype in this region between the test subject and the reference subject is an indication of an increased likelihood that the test subject will develop SZ. In some embodiments, the method also includes comparing the test subject's haplotype to a reference subject who does not have SZ.

[0046]

Also provided herein are kits for use in detection of haplotypes associated with SZ, including at least one nucleic acid probe that hybridizes to a sequence that includes a polymorphism described herein, or can be used to amplify a sequence that includes a polymorphism described herein.

[0047]

Also provided are arrays that include a substrate having a plurality of addressable areas, wherein one or more of the addressable areas includes one or more probes that can be used to detect a polymorphism described herein.

[0048]

In another aspect, the invention provides methods for providing information regarding a subject's risk of developing schizophrenia (SZ). The methods include obtaining a sample from the subject at a first site; transferring the sample to a second site for analysis, wherein the analysis provides data regarding the identity, presence or absence of at least one test marker that is that is found within the region delimited by SNP1 and SNP2, inclusive, for a given gene as specified in Table A, or comprising one or more of the exemplary SNP markers for each gene, as specified in the Examples and/or SNP markers in linkage disequilibrium with these markers; and transferring the data to one or more of a health care provider, the subject, or a healthcare payer. In some embodiments, the first site is a health care provider's place of business, or is not a health care provider's place of business, e.g., the subject's home.

[0049]

In some embodiments, the data is transferred to a healthcare payer and used to decide whether to reimburse a health care provider.

DEFINITIONS

[0050]

As defined herein, “Schizophrenia” or “SZ” includes the SZ-spectrum disorders, Schizotypal Personality Disorder (SPD) and Schizoaffective Disorder (SD), as well as Schizophrenia under the narrower, DSM-IV definition (see below).

[0051]

As used herein, a “haplotype” is one or a set of signature genetic changes (polymorphisms) that are normally grouped closely together on the DNA strand, and are usually inherited as a group; the polymorphisms are also referred to herein as “markers.” A “haplotype” as used herein is information regarding the presence or absence of one or more contiguous genetic markers on a given chromosome in a subject. A haplotype can consist of a variety of genetic markers, including indels (insertions or deletions of the DNA at particular locations on the chromosome); single nucleotide polymorphisms (SNPs) in which a particular nucleotide is changed; microsatellites; and minisatellites.

[0052]

Microsatellites (sometimes referred to as a variable number of tandem repeats or VNTRs) are short segments of DNA that have a repeated sequence, usually about 2 to 5 nucleotides long (e.g., CACACA), that tend to occur in non-coding DNA. Changes in the microsatellites sometimes occur during the genetic recombination of sexual reproduction, increasing or decreasing the number of repeats found at an allele, changing the length of the allele. Microsatellite markers are stable, polymorphic, easily analyzed and occur regularly throughout the genome, making them especially suitable for genetic analysis.

[0053]

“Linkage disequilibrium” occurs when the observed frequencies of associations of alleles for different polymorphisms in a population do not agree with frequencies predicted by multiplying together the allele frequencies for the individual genetic markers, thus resulting in a specific haplotype in the population.

[0054]

The term “chromosome” as used herein refers to a gene carrier of a cell that is derived from chromatin and comprises DNA and protein components (e.g., histones). The conventional internationally recognized individual human genome chromosome numbering identification system is employed herein. The size of an individual chromosome can vary from one type to another with a given multi-chromosomal genome and from one genome to another. In the case of the human genome, the entire DNA mass of a given chromosome is usually greater than about 100,000,000 base pairs. For example, the size of the entire human genome is about 3×109base pairs.

[0055]

The term “gene” refers to a DNA sequence in a chromosome that codes for a product (either RNA or its translation product, a polypeptide). A gene contains a coding region and includes regions preceding and following the coding region (termed respectively “leader” and “trailer”). The coding region is comprised of a plurality of coding segments (“exons”) and intervening sequences (“introns”) between individual coding segments.

[0056]

The term “probe” refers to an oligonucleotide. A probe can be single stranded at the time of hybridization to a target. As used herein, probes include primers, i.e., oligonucleotides that can be used to prime a reaction, e.g., a PCR reaction.

[0057]

The term “label” or “label containing moiety” refers in a moiety capable of detection, such as a radioactive isotope or group containing same, and nonisotopic labels, such as enzymes, biotin, avidin, streptavidin, digoxygenin, luminescent agents, dyes, haptens, and the like. Luminescent agents, depending upon the source of exciting energy, can be classified as radioluminescent, chemiluminescent, bioluminescent, and photoluminescent (including fluorescent and phosphorescent). A probe described herein can be bound, e.g., chemically bound to label-containing moieties or can be suitable to be so bound. The probe can be directly or indirectly labeled.

[0058]

The term “direct label probe” (or “directly labeled probe”) refers to a nucleic acid probe whose label after hybrid formation with a target is detectable without further reactive processing of hybrid. The term “indirect label probe” (or “indirectly labeled probe”) refers to a nucleic acid probe whose label after hybrid formation with a target is further reacted in subsequent processing with one or more reagents to associate therewith one or more moieties that finally result in a detectable entity.

[0059]

The terms “target,” “DNA target,” or “DNA target region” refers to a nucleotide sequence that occurs at a specific chromosomal location. Each such sequence or portion is preferably at least partially, single stranded (e.g., denatured) at the time of hybridization. When the target nucleotide sequences are located only in a single region or fraction of a given chromosome, the term “target region” is sometimes used. Targets for hybridization can be derived from specimens which include, but are not limited to, chromosomes or regions of chromosomes in normal, diseased or malignant human cells, either interphase or at any state of meiosis or mitosis, and either extracted or derived from living or postmortem tissues, organs or fluids; germinal cells including sperm and egg cells, or cells from zygotes, fetuses, or embryos, or chorionic or amniotic cells, or cells from any other germinating body; cells grown in vitro, from either long-term or short-term culture, and either normal, immortalized or transformed; inter- or intraspecific hybrids of different types of cells or differentiation states of these cells; individual chromosomes or portions of chromosomes, or translocated, deleted or other damaged chromosomes, isolated by any of a number of means known to those with skill in the art, including libraries of such chromosomes cloned and propagated in prokaryotic or other cloning vectors, or amplified in vitro by means well known to those with skill; or any forensic material, including but not limited to blood, or other samples.

[0060]

The term “hybrid” refers to the product of a hybridization procedure between a probe and a target.

[0061]

The term “hybridizing conditions” has general reference to the combinations of conditions that are employable in a given hybridization procedure to produce hybrids, such conditions typically involving controlled temperature, liquid phase, and contact between a probe (or probe composition) and a target. Conveniently and preferably, at least one denaturation step precedes a step wherein a probe or probe composition is contacted with a target. Guidance for performing hybridization reactions can be found in Ausubel et al., Current Protocols in Molecular Biology, John Wiley & Sons, N.Y. (2003), 6.3.1-6.3.6. Aqueous and nonaqueous methods are described in that reference and either can be used. Hybridization conditions referred to herein are a 50% formamide, 2×SSC wash for 10 minutes at 45° C. followed by a 2×SSC wash for 10 minutes at 37° C.

[0062]

Calculations of “identity” between two sequences can be performed as follows. The sequences are aligned for optimal comparison purposes (e.g., gaps can be introduced in one or both of a first and a second nucleic acid sequence for optimal alignment and non-identical sequences can be disregarded for comparison purposes). The length of a sequence aligned for comparison purposes is at least 30%, e.g., at least 40%, 50%, 60%, 70%, 80%, 90% or 100%, of the length of the reference sequence. The nucleotides at corresponding nucleotide positions are then compared. When a position in the first sequence is occupied by the same nucleotide as the corresponding position in the second sequence, then the molecules are identical at that position. The percent identity between the two sequences is a function of the number of identical positions shared by the sequences, taking into account the number of gaps, and the length of each gap, which need to be introduced for optimal alignment of the two sequences.

[0063]

The comparison of sequences and determination of percent identity between two sequences can be accomplished using a mathematical algorithm. In some embodiments, the percent identity between two nucleotide sequences is determined using the GAP program in the GCG software package, using a Blossum 62 scoring matrix with a gap penalty of 12, a gap extend penalty of 4, and a frameshift gap penalty of 5.

[0064]

As used herein, the term “substantially identical” is used to refer to a first nucleotide sequence that contains a sufficient number of identical nucleotides to a second nucleotide sequence such that the first and second nucleotide sequences have similar activities. Nucleotide sequences that are substantially identical are at least 80%, e.g., 85%, 90%, 95%, 97% or more, identical.

[0065]

The term “nonspecific binding DNA” refers to DNA which is complementary to DNA segments of a probe, which DNA occurs in at least one other position in a genome, outside of a selected chromosomal target region within that genome. An example of nonspecific binding DNA comprises a class of DNA repeated segments whose members commonly occur in more than one chromosome or chromosome region. Such common repetitive segments tend to hybridize to a greater extent than other DNA segments that are present in probe composition.

[0066]

As used herein, the term “stratification” refers to the creation of a distinction between subjects on the basis of a characteristic or characteristics of the subjects. Generally, in the context of clinical trials, the distinction is used to distinguish responses or effects in different sets of patients distinguished according to the stratification parameters. In some embodiments, stratification includes distinction of subject groups based on the presence or absence of particular markers or haplotypes described herein. The stratification can be performed, e.g., in the course of analysis, or can be used in creation of distinct groups or in other ways.

[0067]

Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. Methods and materials are described herein for use in the present invention; other, suitable methods and materials known in the art can also be used. The materials, methods, and examples are illustrative only and not intended to be limiting. All publications, patent applications, patents, sequences, database entries, and other references mentioned herein are incorporated by reference in their entirety. In case of conflict, the present specification, including definitions, will control.

[0068]

Other features and advantages of the invention will be apparent from the following detailed description and figures, and from the claims.

DETAILED DESCRIPTION

[0069]

The present inventors have used bioinformatics and genetic linkages for related neuropsychiatric endophenotypes and DSM disease definitions to define genes in common cellular pathways across various chromosomes as high priority targets for TDT and Case/Control analysis. Resources of the International HapMap project (hapmap.org) were used to define SNPs in these loci, whose pattern of transmission in families and disease association in the population captures extant genetic variation (including important coding variation if present) contributing to genetic susceptibility to SZ-spectrum disorders.

[0070]

The invention includes methods for assessing genetic risk, aiding in diagnosis, and/or stratifying patient populations in order to select optimal treatments based on evaluation of single nucleotide polymorphisms (SNPs) for a number of bioinformatically identified genes on chromosomes 2 through 10 relating to SZ-spectrum disorders including narrowly defined schizophrenia, schizotypal personality disorder (SPD) and schizoaffective disorder (SD) (collectively referred to herein as “SZ”). Specific SNPs delimiting each gene (delimiting SNPs) are given along with exemplary SNPs can be used to capture significant haplotype variation in these genes. Important variants can be verified via TDT using families with multiple affected individuals (such as those collected CCGS) and by Case/Control comparisons using the SNP markers presented herein. Using SNP markers lying between the delimiting SNPs, inclusive, and identical to or in linkage disequilibrium with the exemplary SNPs, one can determine the haplotypes in these genes relating to genetic risk of developing SZ-spectrum disorders via family-based association analyses. These haplotypes can then be used to determine risk of developing these disorders by Case/Control studies. The allelic and genotypic variants thus identified can be used for assessing genetic risk, to aid in diagnosis, and/or to stratify patient population in order to select optimal treatments (atypical antipsychotic, typical antipsychotic, and/or psychosocial intervention) for patients.

Methods of Evaluating Susceptibility to SZ, Pharmacological Response, and Psychiatric Endophenotypes

[0071]

Described herein are a variety of methods for the determination of a subject's risk of developing SZ (which can also be considered susceptibility to SZ) and related clinical phenotypes, likelihood or risk of having an specific endophenotype or severity of an endophenotype, and for predicting a subject's response to a treatment for SZ.

[0072]

“Susceptibility” to SZ does not necessarily mean that the subject will develop SZ, but rather that the subject is, in a statistical sense, more likely to develop SZ than an average member of the population, i.e., has an increased risk of developing SZ. As used herein, susceptibility to SZ exists if the subject has a haplotype associated with an increased risk of SZ as described herein. Ascertaining whether the subject has such a haplotype is included in the concept of diagnosing susceptibility to SZ as used herein. Similarly, susceptibility to displaying a particular clinical phenotype does not mean that the subject will have the phenotype, but rather that the subject is, in a statistical sense, more likely to display the phenotype. Thus, the methods described herein can include obtaining a haplotype associated with an increased risk of having a specific clinical phenotype as described herein for the subject. Furthermore, a prediction of response may not provide 100% certainty, but simply a statistical likelihood that the subject will respond in a particular way to a particular treatment. Such determinations are useful, for example, for purposes of diagnosis, treatment selection, and genetic counseling.

[0073]

As used herein, “obtaining a haplotype” includes obtaining information regarding the identity, presence or absence of one or more genetic markers in a subject. Obtaining a haplotype can, but need not, include obtaining a sample comprising DNA from a subject, and/or assessing the identity, presence or absence of one or more genetic markers in the sample. The individual or organization who obtains the haplotype need not actually carry out the physical analysis of a sample from a subject; the haplotype can include information obtained by analysis of the sample by a third party. Thus the methods can include steps that occur at more than one site. For example, a sample can be obtained from a subject at a first site, such as at a health care provider, or at the subject's home in the case of a self-testing kit. The sample can be analyzed at the same or a second site, e.g., at a laboratory or other testing facility. Obtaining a haplotype can also include or consist of reviewing a subject's medical history, where the medical history includes information regarding the identity, presence or absence of one or more genetic markers in the subject, e.g., results of a genetic test.

[0074]

As described herein, haplotypes associated with SZ include specific alleles for markers in Tables B and C, and makers in linkage disequilibrium with these, as exemplified by the Case/Control results in Table 1.

[0075]

As one example, haplotypes associated with pharmacological response include one or more markers in Tables B and C and/or markers in linkage disequilibrium with these markers as exemplified by the Examples in Tables 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12 and 13. Haplotypes associated with response to olanzapine can include one or more markers listed in Tables 2 and 3 and/or markers in linkage disequilibrium with these markers. Haplotypes associated with response to risperidone can include one or more markers listed in Tables 4 and 5 and/or markers linkage disequilibrium with these markers. Haplotypes associated with response to quetiapine can include one or more markers listed in Tables 6 and 7 and/or markers linkage disequilibrium with these markers. Haplotypes associated with response to perphenazine can include one or more markers listed in Tables 8 and 9 and/or markers linkage disequilibrium with these markers. Haplotypes associated with response to ziprasidone can include one or more markers listed in Tables 10 and 11 and/or markers linkage disequilibrium with these markers. Haplotypes associated with response to antipsychotic medications, as a group, can include one or more markers listed in Tables 12 and 13 and/or markers linkage disequilibrium with these markers. In some embodiments, the haplotype includes one or more of the markers listed in Tables 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12 and 13.

[0076]

As another example, haplotypes associated with specific psychiatric endophenotypes include one or more markers in Tables B and C and/or markers in linkage disequilibrium with these markers as exemplified by the Examples in Tables 14 and 15 and/or markers linkage disequilibrium with these markers. Haplotypes associated with altered scores for the main subscales of the Positive and Negative Syndrome Scale (PANSS) can include one or more markers listed in Table 14. Haplotypes associated with altered scores for specific subscales of the PANSS can include one or more markers listed in Table 15 and/or markers in linkage disequilibrium with these markers. In some embodiments, the haplotype includes one or more of the markers listed in Tables 14 and 15.

[0077]

In some embodiments, to detect the presence of a haplotype described herein, a biological sample that includes nucleated cells (such as blood, a cheek swab or mouthwash) is prepared and analyzed for the presence or absence of preselected markers. Such diagnoses may be performed by diagnostic laboratories, or, alternatively, diagnostic kits can be manufactured and sold to health care providers or to private individuals for self-diagnosis. Diagnostic or prognostic tests can be performed as described herein or using well known techniques, such as described in U.S. Pat. No. 5,800,998.

[0078]

Results of these tests, and optionally interpretive information, can be returned to the subject, the health care provider or to a third party payor. The results can be used in a number of ways. The information can be, e.g., communicated to the tested subject, e.g., with a prognosis and optionally interpretive materials that help the subject understand the test results and prognosis. The information can be used, e.g., by a health care provider, to determine whether to administer a specific drug, or whether a subject should be assigned to a specific category, e.g., a category associated with a specific disease endophenotype, or with drug response or non-response. The information can be used, e.g., by a third party payor such as a healthcare payer (e.g., insurance company or HMO) or other agency, to determine whether or not to reimburse a health care provider for services to the subject, or whether to approve the provision of services to the subject. For example, the healthcare payer may decide to reimburse a health care provider for treatments for SZ, SPD, or SD if the subject has an increased risk of developing SZ. As another example, a drug or treatment may be indicated for individuals with a certain haplotype, and the insurance company would only reimburse the health care provider (or the insured individual) for prescription or purchase of the drug if the insured individual has that haplotype. The presence or absence of the haplotype in a patient may be ascertained by using any of the methods described herein.

[0079]

Information obtained from the methods described herein can also be used to select or stratify subjects for a clinical trial. For example, the presence of a selected haplotype described herein can be used to select a subject for a trial. The information can optionally be correlated with clinical information about the subject, e.g., diagnostic, therapeutic, or endophenotypic information.

[0000]

Haplotypes Associated with SZ, Pharmacological Response, and Psychiatric Endophenotypes

[0080]

The methods described herein include the analysis of genotypic information for exemplary SNPs described herein as being associated with increased risk of developing SZ, pharmacological response, and having specific psychiatric endophenotypes. The methods can also (or alternatively) include the evaluation of SNPs that are in linkage disequilibrium with the exemplary SNPs (as one of skill in the art will appreciate, those SNPs that are in linkage disequilibrium will provide essentially the same information as the exemplary SNPs). In some embodiments, the methods include the use of SNPs that are in linkage disequilibrium and are within a specified region of the gene. Table B includes exemplary delimiting SNPs and exemplary test SNPs that can be used in capturing significant haplotype variation in these genes. Although exemplary delimiting SNPs are provided, in some embodiments the region can be delimited by one of the other SNPs listed herein, e.g., an exemplary test SNP that is in LD with the primary SNP. In some embodiments, the specific region of the gene is between and excluding the delimiting SNPs; in some embodiments, the specific region is between and including the delimiting SNPs.

[0000]

Exemplary Delimiting and Exemplary Test SNPs for Novel SZ Genes
GeneCHRDelimiting SNPsExemplary Test SNPs
Potassium channel and related genes
KCNS32rs4832508 to rs6713395rs1841654, rs10186418, rs3788962,
rs34458219, rs35020605,
rs35353595, rs34658212, rs3747516,
rs4832524, rs3747515
SCN2A2rs1866603 to rs2390258rs353119, rs3219730, rs17183814,
rs2228985, rs2228988, rs2228980,
rs16850532, rs1821223, rs1007722
KCNJ132rs6748027 to rs2289914rs737027, rs1801251, rs16836196
PPP2R2C4rs4688993 to rs13117055rs2269920, rs6446489, rs6446490,
rs3796403, rs4689404, rs4374690,
rs16838658, rs4689425, rs4327561,
rs6446498, rs4689001, rs4689007,
rs7664961
KCNIP15rs906362 to rs1363714rs6555900, rs12514784, rs4242157,
rs10040371, rs984559, rs6555913,
rs10462999, rs2277951, rs1592987,
rs4867628, rs10475954, rs34559363,
rs6879997, rs1363713
KCNMB15rs314155 to rs10050842rs2071157, rs703508, rs2656842,
rs2301149, rs703506, rs11739136,
rs2071156, rs314107
DPP67rs11243338 to rs6943314rs11243339, rs1979601, rs2873108,
rs3807218, rs3823517, rs880730,
rs6959879, rs6966524, rs6943853,
rs10236495, rs4960617, rs6946990,
rs10264427, rs2316533, rs4960559,
rs3778741, rs2293353, rs17515800,
rs3817522, rs4960635, rs12671155,
rs6954651, rs3734960, rs1047064
KCNK98rs2072567 to rs1946213rs885725, rs2471093, rs2615374,
rs34310262, rs2542421, rs3780053,
rs759656, rs888346
Cell adhesion and related genes
ROBO13rs11925452 to rs7432676rs7626143, rs3773190, rs36055689,
rs4443127, rs1027833, rs3773202,
rs35456279, rs35926083, rs716386,
rs6795556, rs35446711, rs34515208,
rs2271151, rs6788511, rs17016453,
rs10049102, rs2304503, rs331199,
rs983513
STIM24rs9790789 to rs12642922rs13138942, rs10939141, rs725981,
rs1012550, rs10028164, rs6822297,
rs6855865, rs3762900, rs10263
IQGAP25rs10942768 to rs152339rs4452539, rs1122654, rs6453217,
rs10045155, rs6859984, rs10474479,
rs6869692, rs7735089, rs10036913,
rs34833676, rs3736394, rs11948805,
rs10077289, rs1393098, rs7722711,
rs3822530, rs36087650, rs2431351,
rs2431352, rs441157, rs2910819,
rs2455230, rs457821, rs2431363,
rs462307, rs459846, rs4704347,
rs34968964, rs4235701, rs34950321,
rs4704352, rs2287932, rs13170865,
rs17681908, rs10063791, rs3816909,
rs464494
NRCAM7rs411444 to rs726471rs439587, rs409797, rs441468,
rs12670313, rs4727700, rs12537654,
rs11983886, rs428459, rs34721383,
rs2142325, rs401433, rs6962066,
rs6958498, rs404287, rs381318,
rs1269621, rs1269628, rs2072546,
rs1269634, rs13236767, rs9942691,
rs2300053
SVEP19rs12237709 to rs7862982rs1887457, rs17204533, rs4978425,
rs7873506, rs10817003, rs1410048,
rs16914992, rs1410049, rs3739451,
rs16914996, rs7030192, rs2254179,
rs2986671, rs7852962, rs7863519,
rs1889323, rs10817021, rs10980398,
rs7038903, rs10817025, rs10817033,
rs872665, rs3818764, rs10817041
PCDH1510rs10825113 to rs11004582rs10825114, rs11003868, rs4519000,
rs10825150, rs2921922, rs10825169,
rs1900438, rs2135720, rs3812658,
rs11004028, rs17644321, rs4403715,
rs7093302, rs4935502, rs10825269,
rs721825, rs857395, rs2153822,
rs1112065, rs10825347, rs11004439
CTNNA310rs2924307 to rs12357272rs1670146, rs2105702, rs6480124,
rs7074696, rs4745886, rs1037988,
rs7912066, rs7073268, rs4548513,
rs10740228, rs4459177, rs9414919,
rs1911490, rs7903280, rs1911342,
rs10762075, rs10997263,
rs12769686, rs7092601, rs10400163,
rs10437375, rs1916373, rs1925610,
rs1925570, rs2894028, rs1904633,
rs9651326, rs10762168, rs10762170,
rs7906790, rs10997765, rs12265366
Vesicle related genes
ATP6V1C22rs881572 to rs1734436rs2884288, rs1198858, rs10427170,
rs1198849, rs4669613, rs1387572,
rs17364812
UNC5C4rs975608 to rs1351999rs17023119, rs34585936,
rs10026552, rs2289043, rs3733212,
rs2276322, rs4699836, rs12642020,
rs4699415, rs6812119, rs2865431,
rs10049501, rs4699423, rs1843018,
rs2626045, rs10011755, rs10856914,
rs1032138, rs998065
TRIM235rs43214 to rs246367rs10699, rs35633053, rs154858,
rs34046496, rs154859, rs33945461,
rs168672, rs42468, rs468754
SCAMPI5rs4530741 to rs1046819rs10076542, rs3922654, rs4143069,
rs16875377, rs11950060,
rs10942856, rs10068518, rs1046819
HMP195rs7341139 to rs889076rs17076802, rs1106986, rs6881757,
rs4457100, rs3811980
CPLX25rs1366116 to rs13166213rs12522368, rs4077871, rs3822674,
rs10866692, rs2288388
PTP4A38rs7388002 to rs6987971rs12541005, rs7018018, rs7463766,
rs9987318, rs1129594
KIAA03689rs2418157 to rs1004282rs1029085. rs2297524, rs12552863,
rs7030830, rs16916040, rs2418163,
rs16916080, rs16916091,
rs16916100, rs2297530, rs10980897,
rs9299198
ZFYVE2710rs10786368 to rs12569711rs10882995, rs17108375, rs3818876,
rs34979921, rs4917784, rs17108378,
rs10882993, rs35077384, rs946777,
rs7922907, rs11189359, rs1981237,
rs4244329
Genes related to glutamate pathways
GLS2rs2204859 to rs1168rs984610
GRIP23rs9036 to rs13062253rs7638680, rs6442461, rs4685194,
rs2139506, rs2090700, rs17316876,
rs7620516, rs11128704
GADL13rs9850620 to rs6792186rs17029870, rs711684, rs13316876,
rs1393748, rs9823803, rs1393750,
rs1159653,
BSN3rs3811697 to rs1060962rs1352889, rs2005557, rs9858542,
rs11709525, rs34762726
GRID24rs17019283 to rs9998217rs10004009, rs28480343, rs6851143,
rs34144324, rs2870641, rs1456359,
rs4502650, rs2271385, rs994011,
rs3796675, rs34796082, rs13123280,
rs1385405, rs11097363, rs10034345,
rs2200376, rs12644084, rs1905717,
rs1435473, rs11097378, rs12505322
CTNND25rs719976 to rs2168879rs1566622, rs1566624, rs2062684,
rs879353, rs4701903, rs2302179,
rs1697902, rs7702184, rs2973488,
rs2907105, rs1024498, rs2905990,
rs6889200, rs2285975, rs2158444,
rs1990005, rs2277054, rs32264,
rs28038, rs258630, rs258634,
rs4702799, rs34001856, rs6875838,
rs154751, rs17802557, rs10036380,
rs31884, rs249264, rs2530910,
rs2727591, rs6883905, rs4510584,
rs1458472
G-protein-coupled receptor genes
ENTPD33rs9817233 to rs9841335rs2305522, rs1047855, rs7648952
GPR227rs10244871 to rs3801954rs12673675,
GPR857rs1575015 to rs2140913rs1581688, rs1581688, rs2256044,
rs1608890, rs1575012, rs1056588,
rs1599792
GPR208rs7843131 to rs7839244rs36092215, rs34591516,
rs10875472, rs11167054,
rs11785629, rs13260421
Insulin, inositol, and diacylglycerol related genes
INPP12rs3791809 to rs2736619rs2016037, rs4656, rs2067404,
rs11544940, rs10931450, rs7592352,
rs1882891, rs35616200
DGKD2rs838717 to rs1053895rs7584554, rs7587876, rs11681604
IHPK23rs4858828 to rs9834996rs4858831, rs4858798,
CBLB3rs9657914 to rs7649466rs1042852, rs13060223, rs10804442,
rs7645021, rs6807382
PIK3R15rs1862162 to rs9291926rs706713, rs3730089, rs3730090,
rs895304, rs1445760, rs3756668
DGKB7rs979868 to rs2286768rs4719392, rs34616903, rs7796440,
rs17167943, rs6966154, rs2079460,
rs10251211, rs12699603, rs1991733,
rs6972310, rs2357958, rs3823843,
rs4721345, rs1431515, rs17595234,
rs1525088, rs12670550, rs10271056,
rs6461117, rs2293339, rs35339151,
rs9639213, rs1997040, rs4632953,
rs979499, rs4719427
PIK3CG7rs4730204 to rs849412rs849388, rs849390, rs1526083,
rs9641370, rs2230460, rs12536620,
rs12667819
RGS39rs12338788 to rs944343rs7864467, rs10733605, rs36062487,
rs35270441, rs10981815, rs4979250,
rs12351728
PAPPA9rs1331135 to rs4837498rs10983085, rs386088, rs417012,
rs10983070, rs1888636, rs445159,
rs12375498, rs1405, rs405485,
rsl0817865, rs34371232,
rs35578777, rs407200, rs13290387,
rsl0983085, rs10435873,
rs35565319, rs2273977, rs7020782,
rs1323438, rs3827668, rs10817881,
rs10759836, rs35109458, rs2565,
rs1054402
PIK3AP110rs11188844 to rs516321rs7448, rs927639, rs11188853,
rs3748236, rs10736114, rs12784975,
rs3748234, rs3748233, rs4344416,
rs7904212, rs3748232, rs3748229,
rs17112076, rs563654
Cytoskeletal, myosin, actin and microtubulal related genes
MYO1B2rs4853561 to rs12623842rs2271768, rs4853581
CENTG22rs11685009 to rs11899677rs2278884, rs2034648, rs3754659,
rs13024834, rs7601459,
rs17840725, rs7593724,, rs6759206,
rs2292708, rs34198201, rs2696398,
rs1018313, rs3768969, rs7559293
MYRIP3rs2049625 to rs13081294rs7434088, rs6777708, rs7618607,
rs1598992, rs725297, rs7632391,
rs4618168, rs1317317, rs34800524,
rs1799418,
TAGLN33rs2895389 to rs1994733rs3749309, rs2292583, rs2280681,
rs13096825
JAKMIP14rs16838120 to rs10003892rs9995294, rs6852114, rs16838159,
rs6847339, rs1514326, rs12646356,
rs7673767, rs12186252, rs9993666,
rs6446469, rs7377975
CENTD14rs13139479 to rs10007917rs2271810, rs7657166, rs12651329,
rs16991904, rs1878825, rs13151864,
rs4833107, rs2271331, rs10517369,
rs35218548, rs13148785,
rs34902614, rs12651095,
rs35468501, rs7659075, rs16991997,
rs6842872
CENTG37rs10271154 to rs7792368rs749318, rs6464126, rs729712,
rs6951528, rs10230113, rs6979622,
rs6968877
ACTR3B7rs4428589 to rs7792217rs940262, rs7809363, rs11769016,
rs2689603, rs2260545, rs1057647,
rs940261
Genes for carrier proteins and transporters
SLC4A102rs979375 to rs12617656rs2084543, rs1515186, rs1399650,
rs1449629, rs13006199, rs1227919,
rs1913808, rs6432706, rs6432705,
rs6734760
SLC6A113rs2600072 to rs11128532rs2245532, rs2272395, rs1601371,
rs9835618, rs2304725, rs4684739,
rs1601372
SLC6A35rs12516948 to rs3756450rs27072, rs40184, rs6347, rs37022,
rs6348, rs464049, rs460000,
rs2617605, rs2937639
RHAG6rs13197954 to rs2518100rs6458705, rs1480619, rs10485291,
rs16879498, rs1480617, rs1471541,
rs6934867
SLC26A47rs2701685 to rs2028030rs3817613, rs34942046, rs2248465,
rs3823957, rs11769313, rs6970857,
rs34373141, rs36039758, rs2072065,
rs982915, rs17154335, rs6955309,
rs35548413, rs12705418,
rs17154347, rs17154353, rs6975897
Cell cycle and tumor suppressor/promoter related genes
NAG2rs4668877 to rs12692275rs6710817, rs35295359 ,rs34962722,
rs35489395, rs35770368,
rs16862653, rs4668909, rs13029846,
rs12994933, rs6730450, rs2302940,
rs2302941, rs6736116, rs4668888,
rs3805095, rs4668892, rs7584861,
rs7584861, rs2042145, rs2277916
TMEFF22rs10187928 to rs3768703rs10170881, rs4311010, rs4474831,
rs4853658, rs2356945, rs4456647,
rs2356753, rs2356757, rs2356961
ABI22rs11682759 to rs2250522rs11675251, rs3731652
PCNP3rs3762730 to rs1476123rs3804777, rs1365319, rs3804775
IFT573rs428321 to rs1289750rs921582, rs1289754, rs1135897,
rs1289766, rs16854283, rs326335
STK105rs6555988 to rs9313584rs4569891, rs15963, rs1128204,
rs4569891, rs10155597, rs13157965,
rs11741056, rs4868141, rs2306963,
rs2306962, rs2306961, rs3103575,
rs2279514, rs11134732, rs730537
MUSK9rs3001121 to rs521803rs12551974, rs3001125, rs7852446,
rs7047593, rs4574919, rs1940249,
rs1940251, rs1011919, rs2274419,
rs578430
EDG29rs6833 to rs4475574rs13094, rs3739709, rs491855,
rs498328, rs2031665, rs12555560,
rs11542862, rs34483952,
rs10980652, rs2418124, rs2192591,
rs7041855
NEK69rs4838143 to rs1330811rs2282084, rs2065221, rs10760348,
rs1107342, rs2274780, rs944333,
rs748741, rs10760354, rs2900219,
rs2416, rs12555646
Genes involved in neuronal development and plasticity
NAB12rs1468684 to rs6744503rs1023568, rs2293765, rs4853516
HECW22rs4524133 to rs7577213rs3748875, rs1455815, rs767620,
rs10931732, rs6749366, rs1531111,
rs1406218, rs7355529, rs10180365
NGEF2rs778371 to rs6718480rs4973588, rs6760133, rs4973578
EPHA33rs13074291 to rs2117138rs6551393, rs7650184, rs9835094,
rs7646842rs9833400, rs6772953,
rs7632502, rs1398197, rs17801309,
rs1054750, rs2117137
GPRIN34rs891674 to rs919615rs1346946, rs13115988, rs7653897,
rs2298757, rs754750, rs1036111
CRMP14rs3774882 to rs12647205rs1057052, rs3774883, rs3821936,
rs34611001, rs11723228, rs12331,
rs16837723, rs2286282, rs984576,
rs13130069, rs3755851
SNCA4rs356221 to rs2301134rs356165, rs10033209, rs2736990,
rs3775433, rs1812923, rs7356228,
rs7681440, rs3756063
GPM6A4rs13132334 to rs1471797rs3733398, rs10520301, rs2333250,
rs2877886, rs10213204, rs2333259,
rs2581754, rs2047247, rs6812406,
rs11133116, rs10017793, rs7675676
NRN16rs1887131 to rs582262rs3749860, rs582186, rs3805789
SLA8rs6982276 to rs1124527rs3739268, rs3739266, rs940080,
rs2256366, rs2252917, rs2252805,
rs2741200
ASTN29rs1507909 to rs1337213rs7518, rs2302827, rs10983184,
rs7852872, rs16933591, rs2900131,
rs11790014, rs3818503, rs7028544,
rs1372332, rs943310, rs10513278,
rs1888288, rs10983437, rs3761845,
rs10983469, rs10983517, rs915281,
rs1335420, rs2297697, rs1339921,
rs10818035
SLIT110rs12240946 to rs3758587rs1962434, rs3740528, rs11188985,
rs7922865, rs7922865, rs3824789,
rs35388136, rs17112342, rs7902871,
rs33970910, rs2805597, rs2817693,
rs2817656, rs17112469, rs2817662,
rs2817667
Neuropeptide signaling related genes
NMUR12rs10172595 to rs10933376rs4973442, rs3769987, rs3752762,
rs3769986
TRPM82rs1965629 to rs2052029rs6431648, rs10803666, rs10189040,
rs6711120, rs2215173, rs4663999
NMU4rs13132085 to rs12512220rs12108463, rs3805382, rs35892915,
rs3805383, rs12499623, rs3792703
TACR34rs3900348 to rs3733631rs2765, rs17033889, rs34550211,
rs7697019, rs7657032, rs2276973,
rs35085919, rs3822290, rs6818076,
rs3733632
NLN5rs2548788 to rs3733657rs3855589, rs34339013, rs1301475,
rs252637, rs34980, rs34063558,
rs6863012, rs2289884, rs2248213,
rs2254485, rs2250861, rs6860508
NMUR25rs10476783 to rs1422369rs3792906, rs4958531, rs1895245,
rs4958532, rs4958535, rs716256,
rs3749787, rs7341041
Calmodulin related genes
VSNL12rs424827 to rs2710672rs1996610, rs1615739, rs2680827
HS1BP32rs17662644 to rs2241756rs4666449, rs35534197, rs2305458,
rs35589938, rs3732149, rs35579164,
rs10166174
PPP3CA4rs3804350 to rs1125180rs2851060, rs2251238, rs1405686,
rs1405686, rs3804357, rs2732509,
rs6532920, rs3730251, rs2850359,
rs2850326
CALN17rs2270209 to rs6961002rs735368, rs749585, rs7790530,
rs12699099, rs917209, rs1003685,
rs917210, rs10255136, rs1232514,
rs1232515, rs573092, rs10229537
DFNB319rs10759694 to rs1408524rs731421, rs2274158, rs2274159,
rs942519, rs12339210, rs10739412,
rs4979387, rs4978584, rs35003670,
rs942520, rs1001506, rs10982256
Brain-expressed genes not otherwise specified
ZNF6593rs376703 to rs7634827rs451242, rs427233, rs341844,
rs3849537, rs1978516, rs975302,
rs2054942, rs4298061, rs9875169,
rs4858014
CHMP2B3rs2279720 to rs9836453rs1002765, rs2009668, rs1044499,
rs1386928, rs13100218, rs9858626,
rs1002765
PPWD15rs432206 to rs27142rs37338, rs35830400, rs461534,
rs669571, rs468821, rs41353,
rs37337, rs27139, rs27141
PDE8B5rs2972336 to rs335636rs10066802, rs11953611,
rs10066037, rs1382894, rs10474498,
rs971647, rs3797462, rs7717046,
rs1545775, rs3733952, rs3214046,
rs335614, rs335644, rs90682,
rs40594, rs459366
FBXW115rs702110 to rs6555982rs6860941, rs2111007, rs10475991,
rs2569091, rs839282, rs6883971,
rs10516092, rs6555980
TSPAN137rs3807509 to rs1037791rs4721539, rs28372720, rs6461275,
rs2290837, rs7808455, rs10499475,
rs11491, rs6616
PNPLA87rs6466238 to rs40897rs3815252, rs10487859, rs40847,
rs35773218, rs40848, rs40849,
rs35597447, rs40877, rs40893
TSNARE18rs10104269 to rs7462663rs4350094, rs11992923, rs3935729,
rs11167136, rs11988455,
rs12547214, rs4976955, rs10086550,
rs10099330, rs4325020, rs7009759,
rs10435683, rs36106780,
rs10100935, rs33970858, rs7814359,
rs6583623
LYNX18rs7822193 to rs6980609rs2304398, rs2585187, rs36031063,
rs3808493, rs34798388, rs2585126
SGMS110rs6481183 to rs3001856rs1865746, rs2251601, rs14327,
rs2246994, rs10763354, rs2842103,
rs1212555, rs7922802, rs978588,
rs2092996, rs11006229, rs4935737
PRKG110rs10995555 to rs13499rs12355844, rs2339628, rs3740292,
rs10822922, rs10997677, rs1937655,
rs1937698, rs1937672, rs2454543,
rs10824002, rs12766089,
rs10437352, rs7083967, rs2339953,
rs10824300, rs11001472, rs1881597
LRRTM310rs2140381 to rs4746659rs7902006, rs35733981, rs1925577,
rs1925562, rs10733833, rs10822960,
rs2147886, rs10822976

[0081]

Additionally, a number of exemplary SNPs in linkage disequilibrium with the SNPs in Table B were evaluated for impact on SZ risk, pharmacological response, and specific psychiatric phenotypes (endophenotypes). These exemplary SNPs in linkage disequilibrium with those in Table B are listed in Table C.

[0000]

Exemplary SNPs in Linkage Disequilibrium with Table B SNPs
GeneSNPs in linkage disequilibrium with those in Table B
ABI2rs1470790, rs2469950, rs13430194
ACTR3Brs4726207
ASTN2rs10817918, rs10983398, rs10759876, rs1928995,
rs10817972, rs1016730, rs6478237, rs10983260, rs7856625,
rs4837659, rs3849144, rs11793212, rs10817967, rs3849137,
rs7043970
ATP6V1C2rs6757005, rs1734340
BSNrs4241407
CALN1rs11763831, rs10260420, rs12699125, rs12666578,
rs12699087, rs479035, rs9638655, rs6977083, rs501383,
rs12699130, rs10254309, rs10950297, rs11768892,
rs1914378
CBLBrs12497428, rs7646159, rs6795961, rs1443108, rs7638504
CENTD1rs2048374, rs6531411, rs7670868, rs4833117, rs4833125,
rs13142416
CENTG2rs13025591, rs6748968, rs2316436, rs7420415, rs1710829,
rs6431400, rs1962443, rs11898880
CENTG3rs11766855, rs4725392
CHMP2Brs1386927
CPLX2rs7718856
CRMP1rs4315727, rs17444546, rs9790594, rs2276877
CTNNA3rs1911303, rs4341430, rs1885473, rs1786921, rs3802549,
rs11594391, rs10823085, rs7920624, rs10509290, rs3125312,
rs10997582, rs2394339, rs4304652, rs10762158, rs10997701,
rs1670167, rs2394215, rs1911355, rs2894020, rs932656,
rs7914077
CTNNA3, LRRTM3rs10762135, rs1952060
CTNND2rs2973511, rs6898629, rs12516262, rs13358276, rs32267,
rs27520, rs2530215, rs9312768, rs26153, rs4702840,
rs1423494, rs6871769, rs6885224, rs26152, rs4571470,
rs6873901, rs6873490, rs1024497, rs6887277, rs10058518,
rs852625
DFNB31rs2274160, rs10739411, rs10982239, rs10759697, rs1000709
DGKBrs17167942, rs196751, rs10499441, rs12699629, rs6957593,
rs2358068, rs10277367, rs1525094, rs17168299, rs6967001,
rs1404616, rs5014691, rs7808899, rs10236653, rs12699645,
rs10243441, rs2049447
DGKDrs7566221
DPP6rs7795325, rs6597434, rs1464912, rs4960616, rs11768385
EDG2rs4978431, rs496475, rs2025766, rs7042462, rs10980607,
rs491749
ENTPD3rs4973898
EPHA3rs7428598, rs17026944, rs9868686, rs13097212, rs13097740,
rs12486971, rs907713
FBXW11rs10475994
GADL1rs9809583, rs6550024, rs795441, rs7614821
GLSrs13000464, rs1546646, rs12987113
GPM6Ars1495716, rs7678146, rs2333261
GPR20rs6578167, rs7828983
GPR22rs2057837, rs7786186, rs11535285
GPRIN3rs7690986, rs12498405
GRID2rs7672511, rs13135407, rs7671794, rs4557232, rs7697616,
rs10029233, rs11932367, rs2089990, rs1993030, rs1036640,
rs4693331, rs11931529, rs989927, rs1369169, rs2124622
GRIP2rs4684232
HECW2rs3849360, rs9288264, rs13420811, rs6710173, rs1528398,
rs13419792, rs3849359, rs13428501, rs6730618, rs6747419
HS1BP3rs17663045, rs11680086, rs3796064
IFT57rs1289744, rs1920539
INPP1rs972689, rs3791815, rs1882892
IQGAP2rs9293683, rs10077372, rs961536, rs664494, rs4704327,
rs10072221, rs7706926, rs4326119, rs153317, rs2068434,
rs3797385, rs950643
JAKMIP1rs4689334, rs4689333, rs2358576, rs3889724, rs13112868
KCNIP1rs906361, rs10475946, rs1055381, rs50364, rs906358,
rs6892193, rs906359
KCNIP1, KCNMB1rs703504
KIAA0368rs2282181, rs2297523, rs6477821
LYNX1rs2004243
MUSKrs10980564, rs4579595, rs7856889, rs4144418
MYO1Brs13427761, rs4853575
MYRIPrs12629111, rs9814462
NAB1rs1155060, rs4599150, rs10185029
NAGrs1016567, rs2042144, rs13007383, rs16862435, rs4668926,
rs759805, rs3805103, rs4668893, rs10929350, rs10183588,
rs10221671, rs6431705, rs6726817, rs16862432, rs3764922,
rs6431692, rs3805106, rs6710456
NEK6rs16927327, rs4838157, rs7853472
NGEFrs6743851, rs2292724
NLNrs2561200, rs895379, rs2561193, rs34982, rs1309821
NMUR2rs17447280
NRCAMrs12111776, rs2284280, rs425013, rs10953569, rs2300037,
rs3763462, rs10226935, rs11768790, rs13221639, rs409724,
rs 1544677
PAPPArs7033487, rs10817882, rs985223
PCDH15rs1876328, rs2384413, rs11004153, rs16905888, rs2384520,
rs9787465, rs1020203, rs11003833, rs1891617, rs12257494,
rs1342287, rs10825184, rs11003889, rs10825157, rs2610873,
rs11003863
PDE8Brs7702192, rs2359875
PIK3AP1rs912480, rs1172479
PIK3CGrs849398
PIK3R1rs706714
PNPLA8rs2396001, rs10225561
PPP2R2Crs10213410, rs3796398
PPP3CArs2037773, rs2851062, rs2732506, rs2695206, rs2732518,
rs3804406, rs2732510
PPWD1rs37339
PRKG1rs12266397, rs10823798, rs1919461, rs10128457, rs1919460,
rs10824246, rs1875792, rs2339678, rs7918567, rs7085697,
rs7099012, rs7918898, rs4568954, rs7097013
RGS3rs12337340
RHAGrs10485290
ROBO1rs1563384, rs2872006, rs17375496, rs3821603, rs4681006,
rs1507417, rs7631406, rs9876238, rs2311350
SCAMPIrs6860842, rs3952231, rs1159929, rs2115436
SCN2Ars7600082, rs353128, rs4667485, rs2116658
SGMS1rs4935605, rs10826100, rs1569962
SLC26A4rs2701684, rs2057837, rs2395911, rs3801940, rs2293658
SLC4A10rs16846181, rs1567421, rs1510094, rs6432704
SLC6A11rs2880586, rs11128532, rs1609480, rs2254931
SLIT1rs7896883, rs2817666, rs7069617, rs1490691, rs2817647,
rs2784913, rs1565495
SNCArs894278, rs10014396
STIM2rs9654110, rs4586918, rs7672936, rs6835631, rs11737218,
rs12644073
STK10rs2279515
SVEP1rs7044669, rs10817027
TACR3rs5005634, rs1384401
TAGLN3rs3749310
TMEFF2rs7604868, rs4483986, rs2884024, rs10497725, rs2356942,
rs2356953, rs13001304
TRPM8rs7595960, rs10490014, rs6721761, rs7560562, rs11563216
TSNARE1rs10098073, rs6583607, rs7829227, rs4976952, rs12717833,
rs11784523
TSPAN13rs1168055, rs6951449, rs3807493, rs12530923
UNC5Crs10516959, rs265014, rs13148787, rs1434534, rs10856916,
rs3775045, rs10516971, rs3775048
VSNL1rs2710684, rs1426510, rs6751113
ZFYVE27rs10748707
ZNF659rs3936575, rs9881055, rs13076073, rs17009067, rs2054945,
rs2335813

[0082]

Identification of Additional Markers by Linkage Disequilibrium Analysis

[0083]

Linkage disequilibrium (LD) is a measure of the degree of association between alleles in a population. One of skill in the art will appreciate that haplotypes involving markers in LD with the polymorphisms described herein can also be used in a similar manner to those described herein. Methods of calculating LD are known in the art (see, e.g., Morton et al., Proc Natl Acad Sci USA 98(9):5217-21 (2001); Tapper et al., Proc Natl Acad Sci USA 102(33):11835-11839 (2005); Maniatis et al., Proc Natl Acad Sci USA 99:2228-2233 (2002)).

[0084]

Thus, in some embodiments, the methods include analysis of polymorphisms that are in LD with a polymorphism described herein. Methods are known in the art for identifying such polymorphisms; for example, the International HapMap Project provides a public database that can be used, see hapmap.org, as well as The International HapMap Consortium, Nature 426:789-796 (2003), and The International HapMap Consortium, Nature 437:1299-1320 (2005). Generally, it will be desirable to use a HapMap constructed using data from individuals who share ethnicity with the subject, e.g., a HapMap for African Americans would ideally be used to identify markers in LD with an exemplary marker described herein for use in genotyping a subject of African American descent.

[0085]

Alternatively, methods described herein can include analysis of polymorphisms that show a correlation coefficient (r2) of value ≧0.5 with the markers described herein. Results can be obtained, e.g., from on line public resources such as HapMap.org. The correlation coefficient is a measure of LD, and reflects the degree to which alleles at two loci (for example two SNPs) occur together, such that an allele at one SNP position can predict the correlated allele at a second SNP position, in the case where r2is >0.

[0086]

Incorporation of Additional Haplotypes Associated with SZ, Pharmacological Response, and Psychiatric Endophenotypes

[0087]

In some embodiments, the methods described herein can include determining the presence of a haplotype that includes one or more additional polymorphisms associated with SZ, pharmacological response, and psychiatric endophenotypes.

[0088]

By way of example, numerous studies have implicated various phosphatidylinositol kinases in SZ, including PIP5K2A (Bakker et al., Genes Brain Behav. 6:113-119 (2007)) and PI3K via interaction with AKT (Kalkman, Pharmacol. Ther. 110:117-134 (2006)). The use of variants in the PI4K2B gene in SZ diagnosis and pharmacogenomics has been described, see, e.g., International Patent Application No. PCT/US2007/078399. Additionally, insulin and diacylglycerol interact with the inositol pathways. As described herein, combining such findings with protein-protein interaction data, pathway analyses, and the large literature on genetic linkage studies for neuropsychiatric illnesses, has allowed the present inventors to identify a number of inositol, insulin and diacylglycerol genes that can be used for SZ risk assessment, diagnosis and pharmacogenomics.

[0089]

As a second example, potassium channels and potassium current signaling molecules interact with many pathways including dopamine signaling pathways (Canavier et al., J. Neurophysiol. 98:3006-3022 (2007)). The potassium channel gene KCNIP4 has been implicated in schizophrenia risk, see, e.g., International Patent Application No. PCT/US2007/078399. Other groups have reported the possible involvement of KCNN3 polymorphisms in SZ (Ivkovic et al., Int. J. Neurosci. 116:157-164 (2006). As described herein, several additional potassium channel genes, as well as genes that produce proteins that interact with potassium pathways, have been identified that are predicted to play a role in SZ risk and/or drug response.

[0090]

In some embodiments, the methods described herein can include determining the presence of a haplotype that includes one or more polymorphisms near D22S526 and/or the polymorphisms in the Sult4a1 gene and/or polymorphisms within 1 LDU of these markers, e.g., as described in U.S. Pat. Pub. No. 2006-0177851, incorporated herein in its entirety.

[0091]

In some embodiments, the methods described herein can include determining the presence of a haplotype that includes one or more polymorphisms in the PI4K2B gene and/or polymorphisms in the KCNIP4 gene and/or polymorphisms in the CERK gene and/or polymorphisms in the SHANK3 gene and/or polymorphisms within 1 LDU of these markers, e.g., as described in International Pat. Application No. PCT/2007/078399, incorporated herein in its entirety.

[0092]

In some embodiments, the methods described herein can include determining the presence of a haplotype that includes one or more polymorphisms in the HPCAL1 gene and/or the polymorphisms in the SV2C gene and/or polymorphisms in linkage disequilibrium with these markers, e.g., as described in International Pat. Application No. PCT/US2008/088061, incorporated herein in its entirety.

Identification of Additional Markers for Use in the Methods Described Herein

[0093]

In general, genetic markers can be identified using any of a number of methods well known in the art. For example, numerous polymorphisms in the regions described herein are known to exist and are available in public databases, which can be searched using methods and algorithms known in the art. Alternately, polymorphisms can be identified by sequencing either genomic DNA or cDNA in the region in which it is desired to find a polymorphism. According to one approach, primers are designed to amplify such a region, and DNA from a subject is obtained and amplified. The DNA is sequenced, and the sequence (referred to as a “subject sequence” or “test sequence”) is compared with a reference sequence, which can represent the “normal” or “wild type” sequence, or the “affected” sequence. In some embodiments, a reference sequence can be from, for example, the human draft genome sequence, publicly available in various databases, or a sequence deposited in a database such as GenBank. In some embodiments, the reference sequence is a composite of ethnically diverse individuals.

[0094]

In general, if sequencing reveals a difference between the sequenced region and the reference sequence, a polymorphism has been identified. The fact that a difference in nucleotide sequence is identified at a particular site that determines that a polymorphism exists at that site. In most instances, particularly in the case of SNPs, only two polymorphic variants will exist at any location. However, in the case of SNPs, up to four variants may exist since there are four naturally occurring nucleotides in DNA. Other polymorphisms, such as insertions and deletions, may have more than four alleles.

[0095]

Other Genetic Markers of Schizophrenia

[0096]

The methods described herein can also include determining the presence or absence of other markers known or suspected to be associated with SZ, or with SD, or SPD, e.g., markers outside of a region identified herein, see, e.g., Harrison and Owen, Lancet, 361(9355):417-419 (2003), including, for example, markers on chromosome 22 and other chromosomes, e.g., in the region of 22q12.3 (e.g., near D22S283), 22q11.2, 22q11.2, 22q11-q13, 1q42.1, 1q42.1, 1q21-q22, 2p, 2q, 3p25, 4p, 4q, 5q11.2-q13.3, 6p22.3, 6p23, 6q13-q26, 7q, 8p12-21, 8q, 9p, 10p15-p13 (e.g., near D10S189), 10q22.3, 11q14-q21, 12q24, 13q34, 13q32, 14q32.3, 15q15, 16p, 17q, 18p, 18q, 19p. 20p, 21q, Xq, and/or the X/Y pseudoautosomal region. In some embodiments, the methods include determining the presence or absence of one or more other markers that are or may be associated with SZ, or with SZ, SD or SPD, e.g., in one or more genes, e.g., ACE (Illi et al., Eur Neuropsychopharmacol 13:147-151 (2003)); ADRA1A (Clark et al., Biol Psychiatry. 58(6):435-9 (2005)); ADH1B (Xu et al., Mol Psychiatry. 9(5):510-21 (2004); Vawter et al., Hum Genet. 119(5):558-70 (2006)); AHI1 (Eur J Hum Genet. 14(10):1111-9 (2006)); AKT1 (Emamian et al., Nature Genet. 36:131-137 (2004)); ALDH3B1 (Sun et al. Sci. China C. Life. Sci. 48(3):263-9 (2005)); ALK (Kunagi et al., J Neural Transm. 113(10):1569-73 (2006)); APC (Cui et al., Mol Psychiatry (7):669-77 (2005)); APOE (Liu et al., Schizophr Res 62: 225-230 (2003)); ARSA (Marcao et al., Mol Genet Metab. 79(4):305-7 (2003); ARVCF (Chen et al., Schizophr Res. 72(2-3):275-7 (2005)); ATXN1 (Pujana et al Hum Genet 99:772-775 (1997); Joo et al., Psychiatr Genet 9:7-11 (1999); Fallin et al., Am J Hum Genet 77:918-936 (2005)); BDNF (Neves-Pereira et al., Molec. Psychiat. 10:208-212 (2005)); BRD1 (Severinsen et al., Mol Psychiatry. 11(12):1126-38 (2006)); BZRP (Kurumaji et al., J Neural Transm. 107(4):491-500 (2000)); DAO (Owen et al., Trends Genet. 21(9):518-25 (2005)); DAOA (Owen et al., 2005, supra); CAPON (Brzustowicz et al., Am J Hum Genet. 74(5):1057-63 (2004)); CCKAR (Zhang et al., Mol Psychiatry 5:239-240 (2000); Sanjuan et al., Eur Psychiatry 19:349-353 (2004)); CHGB (Kitao et al., Psychiatr Genet 10:139-143 (2000); Zhang et al., Neurosci Lett 323:229-233 (2002)); CHI3L1 (Zhao et al., Am J Hum Genet. 80(1):12-8 (2007)); CHRNA2 (Blaveri et al., Europ. J. Hum. Genet. 9: 469-472 (2001)); CHRNA7 (Leonard et al. Arch Gen Psychiatry. 2002 59:1085-1096 (2002); De Luca et al. Neuropsychobiology. 50:124-127 (2004)); CLDN5 (Sun et al., Eur Psychiatry 19:354-357 (2004); Wei and Hemmings, Prostaglandins Leukot Essent Fatty Acids 73(6)4:41-445 (2005)); COMT (Shifman et al., Am. J. Hum. Genet. 71:1296-1302 (2002)); CNR1 (Ujike et al., Mol Psychiatry 7:515-518 (2002)); CPLX2 (Lee et al., Behav Brain Funct. 1:15 (2005)); DGCR8 (Jacquet et al., Hum Mol Genet. 11(19):2243-9 (2002)); DISC1 (Owen et al., 2005, supra; see, e.g., the D1S2709 marker (Ekelend et al., Hum. Molec. Genet. 10:1611-1617 (2001), DDR1 (Roig et al., Mol Psychiatry. 12(9); 833-41 (2007); DRD4 (Lung et al., Schizophr Res 57:239-245 (2002)); DDR3 (Williams et al., Mol Psychiatry 3:141-149 (1998)); DRD5 (Williams et al., Psychiatr Genet 7:83-85 (1997); Muir et al., Am J Med Genet 105:152-158 (2001)); HEP3 haplotype, Hennah et al., Hum. Molec. Genet. 12: 3151-3159 (2003), and Lcu607Pro, Hodgkinson et al., Am. J. Hum. Genet. 75:862-872 (2004), Erratum: Am. J. Hum. Genet. 76:196 (2005)); DISC2 (Millar et al., Ann Med. 36(5):367-78 (2004)); DPYSL2 (Hong et al., Am J Med Genet B Neuropsychiatr Genet. 136(1):8-11 (2005)); DRD1 (Coon et al., Am. J. Hum. Genet. 52: 327-334 (1993)); DRD2 (Glatt et al., Am. J. Psychiat. 160:469-476 (2003)); DRD3 (Rybakowski et al., Molec. Psychiat. 6:718-724 (2001)); DTNBP1 (Owen et al., 2005, supra); EGR3 (Yamada et al., Proc Natl Acad Sci 104(8):2815-20 (2007)); EPSIN4 (Am J Hum Genet. 76(5):902-7 (2005)); ErbB; EGF (Futamura et al., Am. J. Hum. Genet. 52: 327-334 (2002)); ENTH (Pimm et al., Am J Hum Genet 76:902-907 (2005); Tang et al., Mol Psychiatry 11:395-399 (2006)); ERBB4 (Norton et al., Am J Med Genet B Neuropsychiatr Genet 14; 11; 96-101 (2005); Silberberg et al., Am J Med Genet B Neuropsychiatr Genet 141B; 2; 142-148 (2006)); FEZ1 (Yamada et al., Biol Psychiatry 56:683-690(2004)); FOXP2 (Sanjuan et al., Psychiatr Genet. 16(2):67-72 (2006)); FXYD6 (Choudhury et al., Am J Hum Genet. 80(4):664-72 (2007)); FZD3 (Katsu et al., Neurosci Lett 353:53-56 (2003); Yang et al., Biol Psychiatry 54:1298-1301 (2003); Zhang et al., Am J Med Genet 129B:16-19 (2004)); GABRA1, GABRA2, GABRA6, GABRP (Petryshen et al., Mol Psychiatry. 10(12):1057 (2005)); GABBR1 (Zai et al. Eur Neuropsychopharmacol. 15:347-52 (2005); Le-Niculescu et al. Am J Med Genet B Neuropsychiatr Genet. 144:129-58 (2007)); GAD1 (Addington et al., Mol Psychiatry 10:581-588(2005)); GFRA1 (Semba et al., Brain Res Mol Brain Res. 124(1):88-95 (2004)); GCLM (Tosic et al., Am J Hum Genet. 79(3):586-92 (2006)); GNB3 (Kunugi et al., J. Neural Transm. 109(2):213-8 (2002)); GPR78 (Underwood et al., Mol Psychiatry. 11(4):384-94 (2006)); GRIA1 (Magri et al., Am J Med Genet B Neuropsychiatr Genet 141(3):287-93 (2006)); GNPAT (Lin et al., Biol Psychiatry. 60(6):554-62 (2006)); GRID1 (Fallin et al., Am J Hum Genet 77:918-936(2005)); GRIK1 (Shibata et al., Psychiatr Genet. 11(3):139-44 (2001)); GRIK2 (Shibata et al., Psychiatry Res. 113(1-2):59-67 (2002)); GRIK3 (Shibata et al., Psychiatry Res. 30: 141(1): 39-51 (2006)); GRIK4 (Pikard et al., Mol Psychiatry 11(9):847-57(2006)); GRIN1 (Qin et al., Eur J Hum Genet. 13(7):807-14 (2005)); GRIN2A, GRIN2B (Abdolmaleky et al., Am J Pharmacogenomics. 5(3):149-60 (2005)); GRIN2D (Makino et al., Psychiatr Genet. 15(3):215-21 (2005)); GRM3 (Egan et al., Proc Natl Acad Sci USA. 101(34):12604-9 (2004)); GRM4 (Ohtsuki et al., Psychiatr Genet. 11(2):79-83 (2001)); GRM5 (Devon et al., Mol Psychiatry. 6(3):311-4 (2001)); GSTM1 (Harada et al., Biochem Biophys Res Commun 281:267-271 (2001); Pae et al., Psychiatr Genet 14:147-150 (2004)); G30/G72 (Schulze et al., Am J Psychiatry. 162(11):2101-8 (2005)); HTR2A (Baritaki et al., Eur J Hum Genet. 12(7):535-41 (2004)); HLA-DRB1 (Schwab et al., Am J Med Genet. 114(3):315-20 (2002)); HLA-BRB3 (Yu ct al., Zhonghua Liu Xing Bing Xuc Za Zhi. 24(9):815-8 (2003)); HTR5A (Abdolmaleky et al., Schizophr Res 67:53-62 (2004)); HTR6 (Tsai et al., Neurosci Lett. 271(2):135-7 (1999)); IL1B (Katila et al., Mol Psychiatry 4:179-181(1999); Meisenzahal et al., Am J Psychiatry 158:1316-1319 (2001); Zanardini et al., J Psychiatr Res 37:457-462 (2003)); IL1RN (Zanardini et al., J Psychiatr Res 37:457-462 (2003); Kim et al., Psychiatr Genet 14:165-167 (2004); Papiol et al., Neuroimage 27:1002-1006 (2005)); IL10 (Chiavetto et al., Biol Psychiatry 51:480-484 (2002); Jun et al., Psychiatry Clin Neurosci 56:177-180 (2002)); IL2RB (Schwab et al., Am J Med Genet. 60(5):436-43 (1995)); KCNN3 (Ujike et al., Psychiatry Res. 101(3):203-7 (2001)); KIF13A (Jamain et al., Genomics. 74(1):36-44 (2001)); KIF2A (Li et al., Neurosci Letters 407(2) 151-5 (2006)); KPNA3 (Wei and Hemmings, Neurosci Res. 52(4):342-6 (2005)); LGIl (Fallin et al. A J Hum Genet. 77:918-36 (2005)); MAG (Wan et al., Neurosci Lett. 388(3):126-31 (2005)); MAOA (Jonsson et al., Schizophr Res 61:31-37 (2003); Wei and Hemmings. Psychiatr Genet 9, 177-181 (1999)); MED12 (Sandhu et al., Am J Med Genet B Neuropsychiatr Genet. 123B: 33-38 (2003); Spinks et al., Am J Med Genet B Neuropsychiatr Genet. 127B:20-27 (2004)); MLC1 (Verma et al., Biol Psychiatry. 58(1):16-22 (2005)); MTHFR (Lewis et al., Am. J. Med. Genet. (Neuropsychiat. Genet.) 135B:2-4 (2005)); MTR (Kempisty et al., Psychiatr Genet. 17(3):177-81 (2007)); MTHFD1 (Kempisty et al., Psychiatr Genet. 17(3):177-81 (2007)); NCAM1 (Sullivan et al., Biol Psychiatry. 61(7):902-10 (2007)); NDE1 (Hennah et al., Hum Mol Genet. 16(5):453-62 (2006)); NDUFV2 (Waskizuka et al., Am J Med Genet B Neuropsychiatr Genet. 141(3):301-4 (2006)); NOS1 (Liou et al., Schizophr Res. 65(1):57-9 (2003)); NOTCH4 (Wei and Hemmings, (Letter) Nature Genet. 25:376-377 (2000)); NPAS3 (Kamnasaran et al., J Med Genet 40:325-332 (2003)); NRG1 (Owen et al., 2005, supra); NRG3 (Fallin et al. A J Hum Genet. 77:918-36 (2005)); NTNG1 (Fukawasa et al., J Med Dent Sci 51:121-128 (2004); Aoki-Suzuki et al., Biol Psychiatry 57:382-393 (2005)); NTNG2 (Aoki-Suzuki et al., Biol Psychiatry 57:382-393 (2005)); NTF3 (Jonsson et al., Acta Psychiatr Scand 95:414-419 (1997)); OLIG2 (Georgieva et al., Proc Natl Acad Sci 103(33):12469-74 (2006)); PCQAP (Sandhu et al., Psychiatr Genet. 14(3):169-72 (2004)); PDE4B (Millar et al., Science 310:1187-1191 (2005)); PDLIM5 (Horiuchi et al., Biol Psychiatry 59(5):434-9 (2005)); PICK1 (Hong et al., Neuroreport 15:1965-1967 (2004); Fujii et al., Molecular Psychiatry 11:150-157 (2005)); PIK3C3 (Stopkova et al., Biol Psychiatry 55:981-988 (2004); Duan et al., Neurosci Lett., 379:32-36 (2005)); PIK4CA (Saito et al., Am J Med Genet B Neuropsychiatr Genet. 116(1):77-83 (2003)); PIP5K2A (Stopkova et al., Psychiatr Genet. 15(3): 223-7 (2005)); PLA2G4A, PLA2G4C (Yu et al., Prostaglandins Lcukot Essent Fatty Acids. 73(5):351-4 (2005)); PLA2G4B (Tao et al., Am J Med Genet B Neuropsychiatr Genet 137:56-58 (2005)); PLXNA2 (Mah et al., Molecular Psychiatry 11:471-478 (2006)); PTGS2 (Wei and Hemmings. Prostaglandins Leukot Essent Fatty Acids 70:413-415 (2004)); PPP3CC (Gerber et al., Proc Natl Acad Sci USA. 100(15):8993-8 (2003)); PNOC (Blaveri et al., 2001); PRODH (Chakravarti, Proc. Nat. Acad. Sci. 99:4755-4756 (2002)); QKI (Aberg et al., Am J Med Genet B Neuropsychiatr Genet. 2005 Dec. 9; [Epub ahead of print]); RGS4 (Chowdari et al., Hum. Molec. Genet. 11:1373-1380 (2002), Erratum: Hum. Molec. Genet. 12:1781 (2003)); RELN (Costa et al., Mol Interv. 2(1):47-57 (2002)); RTN4 (Novak et al., Brain Res Mol Brain Res 107:183-189 (2002); Tan et al., Brain Res Mol Brain Res 139:212-216 (2005)); SCAT (Culkjovic et al., Am J Med Genet. 96(6):884-7 (2000)); SLC15A1 (Maheshwari et al., BMC Genomics. 3(1):30 (2002)); SLC18A1 (Bly, Schizophr Res. 78(2-3):337-8 (2005)); SLC18A2 (Gutierrez et al. Am J Med Genet B Neuropsychiatr Genet. 144(4):502-7 (2007)); SLC6A4 (Fan and Sklar, Mol Psychiatry. 10(10):928-38, 891 (2005)); SNAP29 (Saito et al., Mol Psychiatry 6(2):193-201 (2001); Erratum in: Mol Psychiatry 6(5):605 (2001); SULT4A1 (Brennan and Chondra. Am J Med Genet B Neuropsychiatr Genet. 139(1):69-72 (2005)); SYNGR1 (Verma et al., Biol Psychiatry. 55(2):196-9 (2004)); SYN2 (Chen et al., Bio. Psychiat. 56:177-181 (2004)); SYN3 (Porton et al. Biol Psychiatry. 55(2):118-25 (2004)); TAAR4 (Duan et al., Am J Hum Genet 75:624-638 (2004)); TBP/SCA17 (Chen et al., Schizophr Res. 78(2-3):131-6 (2005)); TH (Kurumaji et al., J Neural Transm 108:489-495 (2001); Meloni et al., C R Acad Sci III 318:803-809 (1995)); TNFA (Morar et al., Am J Med Genet B Neuropsychiatr Genet. 144(3):318-24 (2007)); TPH1 (Nolan et al., Psychiatr Genet 10:109-115 (2000); Hong et al., Schizophr Res 49:59-63 (2001); Sekizawa et al., Am J Med Genet B Neuropsychiatr Genet 128:24-26 (2004)); TPP2 (Fallin et al. A J Hum Genet. 77:918-36 (2005)); TPS3 (Park et al., Schizophr Res 67:71-74 (2004); Ni et al., Neurosci Lett 388:173-178 (2005)); TRAR4 (Am J Hum Genet. 75(4):624-38 (2004)); TRAX (Thomson et al., Mol Psychiatry. 10(7):657-68, 616 (2005)); UFD1L (De Luca et al., Am J Med Genet. 105(6):529-33 (2001)); UCP2 (Yasuno et al., Am J Med Genet B Neuropsychiatr Genet. 144(2):250-3 (2007)); UCP4 (Yasuno et al., Am J Med Genet B Neuropsychiatr Genet. 144(2):250-3 (2007)); UHMK1 (Puri et al., Biol Psychiatry 61(7):873-9 (2007)); XBP1 (Chen et al., Biochem Biophys Rcs Commun 319:866-870 (2004); Kakiuchi et al., Psychiatry Clin Neurosci 58:438-440 (2004)); YWHAH (Toyooka et al., Am J Med Genet. 88(2):164-7 (1999)); ZDHHC8 (Mukai et al., Nature Genet. 36:725-731 (2004)); or ZNF74 (Takasc et al., Schizophr Res. 52(3):161-5 (2001)). Sec also, e.g., OMIM entry no. 181500 (SCZD).

[0097]

In some embodiments, the methods include determining the presence of a haplotype that includes one or more polymorphisms near D22S526 and/or the polymorphisms in the SULT4A1 gene and/or polymorphisms within 1 LDU of these markers, e.g., as described in U.S. Pat. Pub. No. 2006-0177851, incorporated herein in its entirety.

[0098]

In some embodiments, the methods include determining the presence of a haplotype that includes one or more polymorphisms in the PI4K2B gene and/or the polymorphisms in the KCNIP4 gene and/or polymorphisms in the CERK gene and/or polymorphisms in the SHANK3 gene and/or polymorphisms within 1 LDU of these markers, e.g., as described PCT Pat. Application No. PCT/2007/07839960/640,707, incorporated herein in its entirety.

[0099]

In some embodiments, the methods include determining the presence of a haplotype that includes one or more polymorphisms in the HPCAL1 gene and/or the polymorphisms in the SV2C gene and/or polymorphisms in linkage disequilibrium with these genes e.g., as described USPTO Provisional Pat. Application No. 61/016,563, incorporated herein in its entirety.

[0000]

Methods of Determining the Presence or Absence of a Haplotype Associated with SZ, Pharmacological Response, and Psychiatric Endophenotypes

[0100]

The methods described herein include determining the presence or absence of haplotypes associated with SZ, pharmacological response, and psychiatric endophenotypes. In some embodiments, an association with SZ is determined by the presence of a shared haplotype between the subject and an affected reference individual, e.g., a first or second-degree relation of the subject, or population of affected individuals, and the absence of the haplotype in an unaffected reference individual. In some embodiments, an association with a pharmacological response is determined by the presence of a shared haplotype between the subject and a reference individual (or population) who had an identified response to a pharmacological treatment. In some embodiments, an association with a specific psychiatric endophenotype is determined by the presence of a shared haplotype between the subject and a reference subject or population with (or without) the specific endophenotype. Thus the methods can also include obtaining and analyzing a sample from a suitable reference individual.

[0101]

Samples that are suitable for use in the methods described herein contain genetic material, e.g., genomic DNA (gDNA). Non-limiting examples of sources of samples include urine, blood, and tissue. The sample itself will typically consist of nucleated cells (e.g., blood or buccal cells), tissue, etc., removed from the subject. The subject can be an adult, child, fetus, or embryo. In some embodiments, the sample is obtained prenatally, either from a fetus or embryo or from the mother (e.g., from fetal or embryonic cells in the maternal circulation). Methods and reagents are known in the art for obtaining, processing, and analyzing samples. In some embodiments, the sample is obtained with the assistance of a health care provider, e.g., to draw blood. In some embodiments, the sample is obtained without the assistance of a health care provider, e.g., where the sample is obtained non-invasively, such as a sample comprising buccal cells that is obtained using a buccal swab or brush, or a mouthwash sample.

[0102]

The sample may be further processed before the detecting step. For example, DNA in a cell or tissue sample can be separated from other components of the sample. The sample can be concentrated and/or purified to isolate DNA. Cells can be harvested from a biological sample using standard techniques known in the art. For example, cells can be harvested by centrifuging a cell sample and resuspending the pelleted cells. The cells can be resuspended in a buffered solution such as phosphate-buffered saline (PBS). After centrifuging the cell suspension to obtain a cell pellet, the cells can be lysed to extract DNA, e.g., gDNA. See, e.g., Ausubel et al., 2003, supra. All samples obtained from a subject, including those subjected to any sort of further processing, are considered to be obtained from the subject.

[0103]

The absence or presence of a haplotype associated with SZ, pharmacological response, and/or psychiatric endophenotypes, as described herein can be determined using methods known in the art, e.g., gel electrophoresis, capillary electrophoresis, size exclusion chromatography, sequencing, and/or arrays to detect the presence or absence of the marker(s) of the haplotype. Amplification of nucleic acids, where desirable, can be accomplished using methods known in the art, e.g., PCR.

[0104]

Methods of nucleic acid analysis to detect polymorphisms and/or polymorphic variants include, e.g., microarray analysis. Hybridization methods, such as Southern analysis, Northern analysis, or in situ hybridizations, can also be used (see Current Protocols in Molecular Biology, Ausubel, F. et al., eds., John Wiley & Sons 2003). To detect microdeletions, fluorescence in situ hybridization (FISH) using DNA probes that are directed to a putatively deleted region in a chromosome can be used. For example, probes that detect all or a part of a microsatellite marker can be used to detect microdeletions in the region that contains that marker.

[0105]

Other methods include direct manual sequencing (Church and Gilbert, Proc. Natl. Acad. Sci. USA 81:1991-1995 (1988); Sanger et al., Proc. Natl. Acad. Sci. 74:5463-5467 (1977); Beavis et al. U.S. Pat. No. 5,288,644); automated fluorescent sequencing; single-stranded conformation polymorphism assays (SSCP); clamped denaturing gel electrophoresis (CDGE); two-dimensional gel electrophoresis (2DGE or TDGE); conformational sensitive gel electrophoresis (CSGE); denaturing gradient gel electrophoresis (DGGE) (Sheffield et al., Proc. Natl. Acad. Sci. USA 86:232-236 (1989)), mobility shift analysis (Orita et al., Proc. Natl. Acad. Sci. USA 86:2766-2770 (1989)), restriction enzyme analysis (Flavell et al., Cell 15:25 (1978); Geever et al., Proc. Natl. Acad. Sci. USA 78:5081 (1981)); quantitative real-time PCR (Raca et al., Genet Test 8(4):387-94 (2004)); heteroduplex analysis; chemical mismatch cleavage (CMC) (Cotton et al., Proc. Natl. Acad. Sci. USA 85:4397-4401 (1985)); RNase protection assays (Myers et al., Science 230:1242 (1985)); use of polypeptides that recognize nucleotide mismatches, e.g., E. coli mutS protein; allele-specific PCR, for example. See, e.g., U.S. Patent Publication No. 2004/0014095, to Gerber et al., which is incorporated herein by reference in its entirety. In some embodiments, the methods described herein include determining the sequence of the entire region of the genes listed in Tables A and B e.g. between and including the delimiting SNPs for the particular gene. In some embodiments, the sequence is determined on both strands of DNA.

[0106]

In order to detect polymorphisms and/or polymorphic variants, it will frequently be desirable to amplify a portion of genomic DNA (gDNA) encompassing the polymorphic site. Such regions can be amplified and isolated by PCR using oligonucleotide primers designed based on genomic and/or cDNA sequences that flank the site. See e.g., PCR Primer: A Laboratory Manual, Dieffenbach and Dveksler, (Eds.); McPherson et al., PCR Basics: From Background to Bench (Springer Verlag, 2000); Mattila et al., Nucleic Acids Res., 19:4967 (1991); Eckert et al., PCR Methods and Applications, 1:17 (1991); PCR (eds. McPherson et al., IRL Press, Oxford); and U.S. Pat. No. 4,683,202. Other amplification methods that may be employed include the ligase chain reaction (LCR) (Wu and Wallace, Genomics, 4:560 (1989), Landegren et al., Science, 241:1077 (1988), transcription amplification (Kwoh et al., Proc. Natl. Acad. Sci. USA, 86:1173 (1989)), self-sustained sequence replication (Guatelli et al., Proc. Nat. Acad. Sci. USA, 87:1874 (1990)), and nucleic acid based sequence amplification (NASBA). Guidelines for selecting primers for PCR amplification are well known in the art. See, e.g., McPherson et al., PCR Basics: From Background to Bench, Springer-Verlag, 2000. A variety of computer programs for designing primers are available, e.g., ‘Oligo’ (National Biosciences, Inc, Plymouth Minn.), MacVector (Kodak/IBI), and the GCG suite of sequence analysis programs (Genetics Computer Group, Madison, Wis. 53711).

[0107]

In one example, a sample (e.g., a sample comprising genomic DNA), is obtained from a subject. The DNA in the sample is then examined to determine a haplotype as described herein. The haplotype can be determined by any method described herein, e.g., by sequencing or by hybridization of the gene in the genomic DNA, RNA, or cDNA to a nucleic acid probe, e.g., a DNA probe (which includes cDNA and oligonucleotide probes) or an RNA probe. The nucleic acid probe can be designed to specifically or preferentially hybridize with a particular polymorphic variant.

[0108]

In some embodiments, a peptide nucleic acid (PNA) probe can be used instead of a nucleic acid probe in the hybridization methods described above. PNA is a DNA mimetic with a peptide-like, inorganic backbone, e.g., N-(2-aminoethyl)glycine units, with an organic base (A, G, C, T or U) attached to the glycine nitrogen via a methylene carbonyl linker (see, e.g., Nielsen et al., Bioconjugate Chemistry, The American Chemical Society, 5:1 (1994)). The PNA probe can be designed to specifically hybridize to a nucleic acid comprising a polymorphic variant conferring susceptibility to or indicative of the presence of SZ.

[0109]

In some embodiments, restriction digest analysis can be used to detect the existence of a polymorphic variant of a polymorphism, if alternate polymorphic variants of the polymorphism result in the creation or elimination of a restriction site. A sample containing genomic DNA is obtained from the individual. Polymerase chain reaction (PCR) can be used to amplify a region comprising the polymorphic site, and restriction fragment length polymorphism analysis is conducted (see Ausubel et al., Current Protocols in Molecular Biology, supra). The digestion pattern of the relevant DNA fragment indicates the presence or absence of a particular polymorphic variant of the polymorphism and is therefore indicative of the presence or absence of susceptibility to SZ.

[0110]

Sequence analysis can also be used to detect specific polymorphic variants. A sample comprising DNA or RNA is obtained from the subject. PCR or other appropriate methods can be used to amplify a portion encompassing the polymorphic site, if desired. The sequence is then ascertained, using any standard method, and the presence of a polymorphic variant is determined.

[0111]

Allele-specific oligonucleotides can also be used to detect the presence of a polymorphic variant, e.g., through the use of dot-blot hybridization of amplified oligonucleotides with allele-specific oligonucleotide (ASO) probes (see, for example, Saiki et al., Nature (London) 324:163-166 (1986)). An “allele-specific oligonucleotide” (also referred to herein as an “allele-specific oligonucleotide probe”) is typically an oligonucleotide of approximately 10-50 base pairs, preferably approximately 15-30 base pairs, that specifically hybridizes to a nucleic acid region that contains a polymorphism. An allele-specific oligonucleotide probe that is specific for particular a polymorphism can be prepared using standard methods (see Ausubel et al., Current Protocols in Molecular Biology, supra).

[0112]

Generally, to determine which of multiple polymorphic variants is present in a subject, a sample comprising DNA is obtained from the individual. PCR can be used to amplify a portion encompassing the polymorphic site. DNA containing the amplified portion may be dot-blotted, using standard methods (see Ausubel et al., Current Protocols in Molecular Biology, supra), and the blot contacted with the oligonucleotide probe. The presence of specific hybridization of the probe to the DNA is then detected. Specific hybridization of an allele-specific oligonucleotide probe (specific for a polymorphic variant indicative of susceptibility to SZ) to DNA from the subject is indicative of susceptibility to SZ.

[0113]

In some embodiments, fluorescence polarization template-directed dye-terminator incorporation (FP-TDI) is used to determine which of multiple polymorphic variants of a polymorphism is present in a subject (Chen et al., (1999) Genome Research, 9(5):492-498). Rather than involving use of allele-specific probes or primers, this method employs primers that terminate adjacent to a polymorphic site, so that extension of the primer by a single nucleotide results in incorporation of a nucleotide complementary to the polymorphic variant at the polymorphic site.

[0114]

Real-time pyrophosphate DNA sequencing is yet another approach to detection of polymorphisms and polymorphic variants (Alderborn et al., (2000) Genome Research, 10(8):1249-1258). Additional methods include, for example, PCR amplification in combination with denaturing high performance liquid chromatography (dHPLC) (Underhill, P. A., et al., Genome Research, Vol. 7, No. 10, pp. 996-1005, 1997).

[0115]

The methods can include determining the genotype of a subject with respect to both copies of the polymorphic site present in the genome. For example, the complete genotype may be characterized as −/−, as −/+, or as +/+, where a minus sign indicates the presence of the reference or wild type sequence at the polymorphic site, and the plus sign indicates the presence of a polymorphic variant other than the reference sequence. If multiple polymorphic variants exist at a site, this can be appropriately indicated by specifying which ones are present in the subject. Any of the detection means described herein can be used to determine the genotype of a subject with respect to one or both copies of the polymorphism present in the subject's genome.

[0116]

In some embodiments, it is desirable to employ methods that can detect the presence of multiple polymorphisms (e.g., polymorphic variants at a plurality of polymorphic sites) in parallel or substantially simultaneously. Oligonucleotide arrays represent one suitable means for doing so. Other methods, including methods in which reactions (e.g., amplification, hybridization) are performed in individual vessels, e.g., within individual wells of a multi-well plate or other vessel may also be performed so as to detect the presence of multiple polymorphic variants (e.g., polymorphic variants at a plurality of polymorphic sites) in parallel or substantially simultaneously according to certain embodiments of the invention.

[0117]

Probes

[0118]

Nucleic acid probes can be used to detect and/or quantify the presence of a particular target nucleic acid sequence within a sample of nucleic acid sequences, e.g., as hybridization probes, or to amplify a particular target sequence within a sample, e.g., as a primer. Probes have a complimentary nucleic acid sequence that selectively hybridizes to the target nucleic acid sequence. In order for a probe to hybridize to a target sequence, the hybridization probe must have sufficient identity with the target sequence, i.e., at least 70%, e.g., 80%, 90%, 95%, 98% or more identity to the target sequence. The probe sequence must also be sufficiently long so that the probe exhibits selectivity for the target sequence over non-target sequences. For example, the probe will be at least 20, e.g., 25, 30, 35, 50, 100, 200, 300, 400, 500, 600, 700, 800, 900 or more, nucleotides in length. In some embodiments, the probes are not more than 30, 50, 100, 200, 300, 500, 750, or 1000 nucleotides in length. Probes are typically about 20 to about 1×106nucleotides in length. Probes include primers, which generally refers to a single-stranded oligonucleotide probe that can act as a point of initiation of template-directed DNA synthesis using methods such as PCR (polymerase chain reaction), LCR (ligase chain reaction), etc., for amplification of a target sequence.

[0119]

In some embodiments, the probe is a test probe, e.g., a probe that can be used to detect polymorphisms in a region described herein, e.g., polymorphisms as described herein. In some embodiments, the probe can hybridize to a target sequence within a region delimited by delimiting SNPs, SNP1 and SNP2, inclusive as specified for the particular genes in Tables A and B.

[0120]

In some embodiments, the probe can bind to another marker sequence associated with SZ as described herein.

[0121]

Control probes can also be used. For example, a probe that binds a less variable sequence, e.g., repetitive DNA associated with a centromere of a chromosome, can be used as a control. Probes that hybridize with various centromeric DNA and locus-specific DNA are available commercially, for example, from Vysis, Inc. (Downers Grove, Ill.), Molecular Probes, Inc. (Eugene, Oreg.), or from Cytocell (Oxfordshire, UK). Probe sets are available commercially, e.g., from Applied Biosystems, e.g., the Assays-on-Demand SNP kits Alternatively, probes can be synthesized, e.g., chemically or in vitro, or made from chromosomal or genomic DNA through standard techniques. For example, sources of DNA that can be used include genomic DNA, cloned DNA sequences, somatic cell hybrids that contain one, or a part of one, human chromosome along with the normal chromosome complement of the host, and chromosomes purified by flow cytometry or microdissection. The region of interest can be isolated through cloning, or by site-specific amplification via the polymerase chain reaction (PCR). See, for example, Nath and Johnson, Biotechnic. Histochem., 1998, 73(1):6-22, Wheeless et al., Cytometry 1994, 17:319-326, and U.S. Pat. No. 5,491,224.

[0122]

In some embodiments, the probes are labeled, e.g., by direct labeling, with a fluorophore, an organic molecule that fluoresces after absorbing light of lower wavelength/higher energy. A directly labeled fluorophore allows the probe to be visualized without a secondary detection molecule. After covalently attaching a fluorophore to a nucleotide, the nucleotide can be directly incorporated into the probe with standard techniques such as nick translation, random priming, and PCR labeling. Alternatively, deoxycytidine nucleotides within the probe can be transaminated with a linker. The fluorophore then is covalently attached to the transaminated deoxycytidine nucleotides. See, e.g., U.S. Pat. No. 5,491,224.

[0123]

Fluorophores of different colors can be chosen such that each probe in a set can be distinctly visualized. For example, a combination of the following fluorophores can be used: 7-amino-4-methylcoumarin-3-acetic acid (AMCA), Texas Red™ (Molecular Probes, Inc., Eugene, Oreg.), 5-(and-6)-carboxy-X-rhodamine, lissamine rhodamine B, 5-(and-6)-carboxyfluorescein, fluorescein-5-isothiocyanate (FITC), 7-diethylaminocoumarin-3-carboxylic acid, tetramethylrhodamine-5-(and-6)-isothiocyanate, 5-(and-6)-carboxytetramethylrhodamine, 7-hydroxycoumarin-3-carboxylic acid, 6-[fluorescein 5-(and-6)-carboxamido]hexanoic acid, N-(4,4-difluoro-5,7-dimethyl-4-bora-3a,4a diaza-3-indacenepropionic acid, eosin-5-isothiocyanate, erythrosin-5-isothiocyanate, and Cascade™ blue acetylazide (Molecular Probes, Inc., Eugene, Oreg.). Fluorescently labeled probes can be viewed with a fluorescence microscope and an appropriate filter for each fluorophorc, or by using dual or triple band-pass filter sets to observe multiple fluorophores. See, for example, U.S. Pat. No. 5,776,688. Alternatively, techniques such as flow cytometry can be used to examine the hybridization pattern of the probes. Fluorescence-based arrays are also known in the art.

[0124]

In other embodiments, the probes can be indirectly labeled with, e.g., biotin or digoxygenin, or labeled with radioactive isotopes such as32P and3H. For example, a probe indirectly labeled with biotin can be detected by avidin conjugated to a detectable marker. For example, avidin can be conjugated to an enzymatic marker such as alkaline phosphatase or horseradish peroxidase. Enzymatic markers can be detected in standard colorimetric reactions using a substrate and/or a catalyst for the enzyme. Catalysts for alkaline phosphatase include 5-bromo-4-chloro-3-indolylphosphate and nitro blue tetrazolium. Diaminobenzoate can be used as a catalyst for horseradish peroxidase.

[0125]

Oligonucleotide probes that exhibit differential or selective binding to polymorphic sites may readily be designed by one of ordinary skill in the art. For example, an oligonucleotide that is perfectly complementary to a sequence that encompasses a polymorphic site (i.e., a sequence that includes the polymorphic site, within it or at one end) will generally hybridize preferentially to a nucleic acid comprising that sequence, as opposed to a nucleic acid comprising an alternate polymorphic variant.

[0126]

Arrays and Uses Thereof

[0127]

In another aspect, the invention features arrays that include a substrate having a plurality of addressable areas, and methods of using them. At least one area of the plurality includes a nucleic acid probe that binds specifically to a sequence comprising a polymorphism listed in Table B, and can be used to detect the absence or presence of said polymorphism, e.g., one or more SNPs, microsatellites, minisatellites, or indels, as described herein, to determine a haplotype. For example, the array can include one or more nucleic acid probes that can be used to detect a polymorphism listed in Table B. In some embodiments, the array further includes at least one area that includes a nucleic acid probe that can be used to specifically detect another marker associated with SZ as described herein. The substrate can be, e.g., a two-dimensional substrate known in the art such as a glass slide, a wafer (e.g., silica or plastic), a mass spectroscopy plate, or a three-dimensional substrate such as a gel pad. In some embodiments, the probes are nucleic acid capture probes.

[0128]

Methods for generating arrays are known in the art and include, e.g., photolithographic methods (see, e.g., U.S. Pat. Nos. 5,143,854; 5,510,270; and 5,527,681), mechanical methods (e.g., directed-flow methods as described in U.S. Pat. No. 5,384,261), pin-based methods (e.g., as described in U.S. Pat. No. 5,288,514), and bead-based techniques (e.g., as described in PCT US/93/04145). The array typically includes oligonucleotide probes capable of specifically hybridizing to different polymorphic variants. According to the method, a nucleic acid of interest, e.g., a nucleic acid encompassing a polymorphic site, (which is typically amplified) is hybridized with the array and scanned. Hybridization and scanning are generally carried out according to standard methods. See, e.g., Published PCT Application Nos. WO 92/10092 and WO 95/11995, and U.S. Pat. No. 5,424,186. After hybridization and washing, the array is scanned to determine the position on the array to which the nucleic acid hybridizes. The hybridization data obtained from the scan is typically in the form of fluorescence intensities as a function of location on the array.

[0129]

Arrays can include multiple detection blocks (i.e., multiple groups of probes designed for detection of particular polymorphisms). Such arrays can be used to analyze multiple different polymorphisms. Detection blocks may be grouped within a single array or in multiple, separate arrays so that varying conditions (e.g., conditions optimized for particular polymorphisms) may be used during the hybridization. For example, it may be desirable to provide for the detection of those polymorphisms that fall within G-C rich stretches of a genomic sequence, separately from those falling in A-T rich segments.

[0130]

Additional description of use of oligonucleotide arrays for detection of polymorphisms can be found, for example, in U.S. Pat. Nos. 5,858,659 and 5,837,832. In addition to oligonucleotide arrays, cDNA arrays may be used similarly in certain embodiments of the invention.

[0131]

The methods described herein can include providing an array as described herein; contacting the array with a sample, e.g., a portion of genomic DNA that includes at least a portion of human chromosome 2, 3, 4, 5, 6, 7, 8, 9 and or 10, e.g., a region between delimiting SNPs, SNP1 and SNP2 for each of the genes listed in Tables A and B, and/or optionally, a different portion of genomic DNA, e.g., a portion that includes a different portion of human chromosomes 2, 3, 4, 5, 6, 7, 8, 9, and/or 10, or another chromosome, e.g., including another region associated with SZ, pharmacological response, and/or psychiatric endophenotypes, and detecting binding of a nucleic acid from the sample to the array. Optionally, the method includes amplifying nucleic acid from the sample, e.g., genomic DNA that includes a portion of a human chromosome described herein, and, optionally, a region that includes another region associated with SZ, pharmacological response, and/or psychiatric endophenotypes, prior to or during contact with the array.

[0132]

In some aspects, the methods described herein can include using an array that can ascertain differential expression patterns or copy numbers of one or more genes in samples from normal and affected individuals (see, e.g., Redon et al., Nature. 444(7118):444-54 (2006)). For example, arrays of probes to a marker described herein can be used to measure polymorphisms between DNA from a subject having SZ and control DNA, e.g., DNA obtained from an individual that does not have SZ and has no familial risk factors for SZ. Since the clones on the array contain sequence tags, their positions on the array are accurately known relative to the genomic sequence. Different hybridization patterns between DNA from an individual afflicted with SZ and DNA from a normal individual at areas in the array corresponding to markers in human chromosome 2, 3, 4, 5, 6,7, 8, 9, and/or 10 as described herein, and, optionally, one or more other regions associated with SZ, SD, or SPD, are indicative of a risk of SZ-spectrum disorders. Methods for array production, hybridization, and analysis are described, e.g., in Snijders et al., (2001) Nat. Genetics 29:263-264; Klein et al., (1999) Proc. Natl Acad. Sci. U.S.A. 96:4494-4499; Albertson et al., (2003) Breast Cancer Research and Treatment 78:289-298; and Snijders et al. “BAC microarray based comparative genomic hybridization.” In: Zhao et al. (eds), Bacterial Artificial Chromosomes: Methods and Protocols, Methods in Molecular Biology, Humana Press, 2002. Real time quantitative PCR can also be used to determine copy number.

[0133]

In another aspect, the invention features methods of determining the absence or presence of a haplotype associated with SZ, pharmacological response, and/or psychiatric endophenotypes, as described herein, using an array described above. For example, in some embodiments the methods include providing a two dimensional array having a plurality of addresses, each address of the plurality being positionally distinguishable from each other address of the plurality having a unique nucleic acid capture probe, contacting the array with a first sample from a test subject who is suspected of having or being at risk for SZ, and comparing the binding of the first sample with one or more references, e.g., binding of a sample from a subject who is known to have SZ and/or binding of a sample from a subject who is unaffected, e.g., a control sample from a subject that does not have SZ. In some embodiments, the methods include contacting the array with a second sample from a subject who has SZ; and comparing the binding of the first sample with the binding of the second sample. In some embodiments, the methods include contacting the array with a third sample from a subject that does not have SZ; and comparing the binding of the first sample with the binding of the third sample. In some embodiments, the second and third samples are from first or second-degree relatives of the test subject. Binding, e.g., in the case of a nucleic acid hybridization, with a capture probe at an address of the plurality, can be detected by any method known in the art, e.g., by detection of a signal generated from a label attached to the nucleic acid.

Schizophrenia, Schizotypal Personality Disorder, and Schizoaffective Disorder

[0134]

The methods described herein can be used to determine an individual's risk of developing schizophrenia (SZ), which as defined herein includes narrowly defined SZ as well as schizotypal personality disorder (SPD), and/or schizoaffective disorder (SD).

[0135]

Schizophrenia (SZ)

[0136]

SZ is considered a clinical syndrome, and is probably a constellation of several pathologies. Substantial heterogeneity is seen between cases; this is thought to reflect multiple overlapping etiologic factors, including both genetic and environmental contributions. A diagnosis of SZ is typically indicated by chronic psychotic symptoms, e.g., hallucinations and delusions. Disorganization of thought and behavior are common and are considered distinguishing factors in the diagnosis of SZ. Patients typically have some subtle impairments in cognition. Reduced emotional experience and expression, low drive, and impaired speech are observed in a subgroup of patients. Cognitive, emotional and social impairments often appear early in life, while the psychotic symptoms typically manifest in late adolescence or early adulthood in men, a little later in women.

[0137]

A diagnosis of SZ can be made according to the criteria reported in the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, Text Revision, American Psychiatric Association, 2000, (referred to herein as DSM-IV) as follows:

[0138]

Diagnostic Criteria for SZ

[0139]

All six criteria must be met for a diagnosis of SZ.

[0140]

A. Characteristic symptoms: Two (or more) of the following, each present for a significant portion of time during a one month period (or less if successfully treated):

[0141]

(1) delusions

[0142]

(2) hallucinations

[0143]

(3) disorganized speech (e.g., frequent derailment or incoherence)

[0144]

(4) grossly disorganized or catatonic behavior

[0145]

(5) negative symptoms, e.g., affective flattening, alogia, or avolition

[0146]

Only one criterion A symptom is required if delusions are bizarre or hallucinations consist of a voice keeping up a running commentary on the person's behavior or thoughts, or two or more voices conversing with each other.

[0147]

B. Social/Occupational Dysfunction:

[0148]

For a significant portion of the time since the onset of the disturbance, one or more major areas of functioning such as work, interpersonal relations, or self-care are markedly below the level achieved prior to the onset (or when the onset is in childhood or adolescence, failure to achieve expected level of interpersonal, academic, or occupational achievement).

[0149]

c. Duration:

[0150]

continuous signs of the disturbance persist for at least 6 months. This 6-month period must include at least 1 month of symptoms (or less if successfully treated) that meet Criterion A (i.e., active-phase symptoms) and may include periods of prodromal or residual symptoms. During these prodromal or residual periods, the signs of the disturbance may be manifested by only negative symptoms or two or more symptoms listed in Criterion A present in an attenuated form (e.g., odd beliefs, unusual perceptual experiences).

[0151]

D. Schizoaffective and Mood Disorder Exclusion:

[0152]

Schizoaffective Disorder and Mood Disorder With Psychotic Features have been ruled out because either (1) no major depressive, manic, or mixed episodes have occurred concurrently with the active-phase symptoms; or (2) if mood episodes have occurred during active-phase symptoms, their total duration has been brief relative to the duration of the active and residual periods.

[0153]

E. Substance/General Medical Condition Exclusion:

[0154]

The disturbance is not due to the direct physiological effects of a substance (e.g., a drug of abuse, a medication) or a general medical condition.

[0155]

F. Relationship to a Pervasive Developmental Disorder:

[0156]

If the patient has a history of Autistic Disorder or another Pervasive Developmental Disorder, the additional diagnosis of SZ is made only if prominent delusions or hallucinations are also present for at least a month (or less if successfully treated).

[0157]

Schizoaffective Disorder (SD)

[0158]

SD is characterized by the presence of affective (depressive or manic) symptoms and schizophrenic symptoms within the same, uninterrupted episode of illness.

[0159]

Diagnostic Criteria for Schizoaffective Disorder

[0160]

The DSM-IV Criteria for a diagnosis of schizoaffective disorder is as follows:

[0161]

An uninterrupted period of illness during which, at some time, there is either (1) a Major Depressive Episode (which must include depressed mood), (2) a Manic Episode, or (3) a Mixed Episode, concurrent with symptoms that meet (4) Criterion A for SZ, above.

[0162]

A. Criteria for Major Depressive Episode

[0163]

At least five of the following symptoms must be present during the same 2-week period and represent a change from previous functioning; at least one of the symptoms is either (1) depressed mood or (2) loss of interest or pleasure.

[0164]

(1) depressed mood most of the day, nearly every day, as indicated by either subjective report (e.g., feels sad or empty) or observation made by others (e.g., appears tearful). In children and adolescents, this can be an irritable mood.

[0165]

(2) markedly diminished interest or pleasure in all, or almost all, activities most of the day, nearly every day (as indicated by either subjective account or observation made by others)

[0166]

(3) significant weight loss when not dieting or weight gain (e.g., a change of more than 5% of body weight in a month), or decrease or increase in appetite nearly every day. (In children, failure to make expected weight gains is considered).

[0167]

(4) insomnia or hypersomnia nearly every day

[0168]

(5) psychomotor agitation or retardation nearly every day (observable by others, not merely subjective feelings of restlessness or being slowed down)

[0169]

(6) fatigue or loss of energy nearly every day

[0170]

(7) feelings of worthlessness or excessive or inappropriate guilt (which may be delusional) nearly every day (not merely self-reproach or guilt about being sick)

[0171]

(8) diminished ability to think or concentrate, or indecisiveness, nearly every day (either by subjective account or as observed by others)

[0172]

(9) recurrent thoughts of death (not just fear of dying), recurrent suicidal ideation without a specific plan, or a suicide attempt or a specific plan for committing suicide

[0173]

In addition, the symptoms do not meet criteria for a Mixed Episode. The symptoms cause clinically significant distress or impairment in social, occupational, or other important areas of functioning. The symptoms are not due to the direct physiological effects of a substance (e.g., a drug of abuse, a medication) or a general medical condition (e.g., hypothyroidism).

[0174]

The symptoms are not better accounted for by Bereavement, i.e., after the loss of a loved one, the symptoms persist for longer than 2 months, or are characterized by marked functional impairment, morbid preoccupation with worthlessness, suicidal ideation, psychotic symptoms, or psychomotor retardation.

[0175]

B. Criteria for Manic Episode

[0176]

A manic episode is a distinct period of abnormally and persistently elevated, expansive, or irritable mood, lasting at least one week (or any duration, if hospitalization is necessary).

[0177]

During the period of mood disturbance, three (or more) of the following symptoms have persisted (four if the mood is only irritable) and have been present to a significant degree:

[0178]

(1) inflated self-esteem or grandiosity

[0179]

(2) decreased need for sleep (e.g., feels rested after only 3 hours of sleep)

[0180]

(3) more talkative than usual or pressure to keep talking

[0181]

(4) flight of ideas or subjective experience that thoughts are racing

[0182]

(5) distractibility (i.e., attention too easily drawn to unimportant or irrelevant external stimuli)

[0183]

(6) increase in goal-directed activity (either socially, at work or school, or sexually) or psychomotor agitation

[0184]

(7) excessive involvement in pleasurable activities that have a high potential for painful consequences (e.g., engaging in unrestrained buying sprees, sexual indiscretions, or foolish business investments)

[0185]

The symptoms do not meet criteria for a Mixed Episode. The mood disturbance is sufficiently severe to cause marked impairment in occupational functioning or in usual social activities or relationships with others, or to necessitate hospitalization to prevent harm to self or others, or there are psychotic features. The symptoms are not due to the direct physiological effects of a substance (e.g., a drug of abuse, a medication, or other treatment) or a general medical condition (e.g., hyperthyroidism).

[0186]

C. Criteria for Mixed Episode

[0187]

A mixed episode occurs when the criteria are met both for a Manic Episode and for a Major Depressive Episode (except for duration) nearly every day during at least a 1-week period. The mood disturbance is sufficiently severe to cause marked impairment in occupational functioning or in usual social activities or relationships with others, or to necessitate hospitalization to prevent harm to self or others, or there are psychotic features.

[0188]

The symptoms are not due to the direct physiological effects of a substance (e.g., a drug of abuse, a medication, or other treatment) or a general medical condition (e.g., hyperthyroidism).

[0189]

D. Criterion A of SZ

[0190]

See above.

[0191]

E. Types of SD

[0192]

The type of SD may be may be specifiable, as either Bipolar Type, if the disturbance includes a Manic or a Mixed Episode (or a Manic or a Mixed Episode and Major Depressive Episodes), or Depressive Type, if the disturbance only includes Major Depressive Episodes.

[0193]

F. Associated Features

[0194]

Features associated with SD include Learning Problems, Hypoactivity, Psychotic, Euphoric Mood, Depressed Mood, Somatic/Sexual Dysfunction, Hyperactivity, Guilt/Obsession, Odd/Eccentric/Suspicious Personality, Anxious/Fearful/Dependent Personality, and Dramatic/Erratic/Antisocial Personality.

[0195]

Schizotypal Personality Disorder (SPD)

[0196]

Diagnostic Criteria for SPD

[0197]

A diagnosis of SPD under the criteria of the DSM-IV is generally based on a pervasive pattern of social and interpersonal deficits marked by acute discomfort with, and reduced capacity for, close relationships as well as by cognitive or perceptual distortions and eccentricities of behavior, beginning by early adulthood and present in a variety of contexts, as indicated by five (or more) of the following:

[0198]

(1) ideas of reference (excluding delusions of reference)

[0199]

(2) odd beliefs or magical thinking that influences behavior and is

[0200]

(3) inconsistent with subcultural norms (e.g., superstitiousness, belief in clairvoyance, telepathy, or “sixth sense;” in children and adolescents, bizarre fantasies or preoccupations)

[0201]

(4) unusual perceptual experiences, including bodily illusions

[0202]

(5) odd thinking and speech (e.g., vague, circumstantial, metaphorical, overelaborate, or stereotyped)

[0203]

(6) suspiciousness or paranoid ideation

[0204]

(7) inappropriate or constricted affect

[0205]

(8) behavior or appearance that is odd, eccentric, or peculiar

[0206]

(9) lack of close friends or confidants other than first-degree relatives

[0207]

(10) excessive social anxiety that does not diminish with familiarity and tends to be associated with paranoid fears rather than negative judgments about self

[0208]

SPD is diagnosed if the symptoms do not occur exclusively during the course of SZ, a Mood Disorder With Psychotic Features, another Psychotic Disorder, or a Pervasive Developmental Disorder, and the disturbance is not due to the direct physiological effects of a substance (e.g., a drug of abuse, a medication) or a general medical condition.

[0209]

Associated features of SPD include Depressed Mood and Odd/Eccentric/Suspicious Personality.

Psychiatric Endophenotypes in SZ

[0210]

A number of endophenotypes, i.e., intermediate phenotypes, that may more closely reflect biological mechanisms behind SZ, have been suggested, such as prepulse inhibition, structural abnormalities evident in MRI scans, specific domains of cognition (e.g., executive function), fine motor performance, working memory, etc.

[0211]

Endophenotypes can also include clinical manifestations such as hallucinations, paranoia, mania, depression, obsessive-compulsive symptoms, etc., as well as response or lack of response to drugs and comorbidity for substance and alcohol abuse. See, e.g., Kendler et al., Am J Psychiatry 152(5):749-54 (1995); Gottesman and Gould, Am J Psychiatry 160(4):636-45 (2003); Cadenhead, Psychiatric Clinics of North America. 25(4):837-53 (2002); Gottesman and Gould, American Journal of Psychiatry. 160(4):636-45 (2003); Heinrichs, Neuroscience & Biobehavioral Reviews. 28(4):379-94 (2004); and Zobel and Maier, Nervenarzt. 75(3):205-14 (2004). There is now evidence that some candidate genes that were identified using DSM-IV type categorical definitions for “affected” individuals may influence specific endophenotypes, see, e.g., Baker et al., Biol Psychiatry 58(1):23-31 (2005); Cannon et al., Arch Gen Psychiatry 62(11):1205-13 (2005); Gothelf et al., Nat Neurosci 8(11):1500-2 (2005); Hallmayer et al., Am J Hum Genet 77(3):468-76 (2005); Callicott et al., Proc Natl Acad Sci USA 102(24):8627-32 (2005); Gornick et al., J Autism Dev Disord 1-8 (2005). Thus, the methods described herein can be used to associate haplotypes with specific psychiatric endophenotypes.

[0212]

Positive and Negative Syndrome Scale (PANSS)

[0213]

The Positive and Negative Syndrome Scale (PANSS) is a comprehensive psychometric scale used to classify psychopathology for severe neuropsychiatric diseases, including SZ. It measures a number of psychiatric endophenotypes or dimensions using quantitative scales based on the scoring of patients by clinicians. It is widely used to classify patients into specific subtypes, and is commonly used for measuring the improvement of symptoms in response to clinical interventions (Kay et al., Schizophr. Bull. 13:261-276 (1987); Kay et al., Br. J. Psychiatry Suppl 59-67 (1989); Leucht et al., Schizophr. Res. 79:231-238 (2005)).

[0214]

Detailed information on PANS S and Scoring Criteria can be found in the art, e.g., on the world wide web at panss.org, or in the book by Kay, Positive and Negative Syndromes in Schizophrenia, (Routledge, 1991) which is incorporated herein in its entirety by reference. Based on these sources, the methodology is summarized briefly below.

[0215]

PANSS comprises 30 individual subscales. Seven constitute a Positive Symptom Scale, seven the Negative Symptom Scale, and the remaining 16 items make up a General Psychopathology Scale. The scores for these scales are arrived at by summation of ratings across component items. Therefore, the potential ranges are 7 to 49 for the Positive and Negative Scales, and 16 to 112 for the General Psychopathology Scale (Source: The PANSS Institute).

[0216]

Each of the 30 items is accompanied by a specific definition as well as detailed anchoring criteria for all seven rating points. These seven points represent increasing levels of psychopathology, as follows:

[0217]

1—absent

[0218]

2—minimal

[0219]

3—mild

[0220]

4—moderate

[0221]

5—moderate severe

[0222]

6—severe

[0223]

7—extreme

[0224]

The PANSS Individual subscales are described below.

[0225]

P1. DELUSIONS—Beliefs which are unfounded, unrealistic and idiosyncratic.

[0226]

P2. CONCEPTUAL DISORGANISATION—Disorganized process of thinking characterized by disruption of goal-directed sequencing, e.g., circumstantiality, loose associations, tangentiality, gross illogicality or thought block.

[0227]

P3. HALLUCINATORY BEHAVIOUR—Verbal report or behaviour indicating perceptions which are not generated by external stimuli. These may occur in the auditory, visual, olfactory or somatic realms.

[0228]

P4. EXCITEMENT—Hyperactivity as reflected in accelerated motor behaviour, heightened responsivity to stimuli, hypervigilance or excessive mood lability.

[0229]

P5. GRANDIOSITY—Exaggerated self-opinion and unrealistic convictions of superiority, including delusions of extraordinary abilities, wealth, knowledge, fame, power and moral righteousness.

[0230]

P6. SUSPICIOUSNESS/PERSECUTION—Unrealistic or exaggerated ideas of persecution, as reflected in guardedness, ad distrustful attitude, suspicious hypervigilance or frank delusions that others mean harm.

[0231]

P7. HOSTILITY—Verbal and nonverbal expressions of anger and resentment, including sarcasm, passive-aggressive behavior, verbal abuse and assualtiveness.

[0232]

N1. BLUNTED AFFECT—Diminished emotional responsiveness as characterized by a reduction in facial expression, modulation of feelings and communicative gestures.

[0233]

N2. EMOTIONAL WITHDRAWAL—Lack of interest in, involvement with, and affective commitment to life's events.

[0234]

N3. POOR RAPPORT—Lack of interpersonal empathy, openness in conversation and sense of closeness, interest or involvement with the interviewer. This is evidenced by interpersonal distancing and reduced verbal and nonverbal communication.

[0235]

N4. PASSIVE/APATHETIC SOCIAL WITHDRAWAL—Diminished interest and initiative in social interactions due to passivity, apathy, anergy or avolition. This leads to reduced interpersonal involvements and neglect of activities of daily living.

[0236]

N5. DIFFICULTY IN ABSTRACT THINKING—Impairment in the use of the abstract-symbolic mode of thinking, as evidenced by difficulty in classification, forming generalizations and proceeding beyond concrete or egocentric thinking in problem-solving tasks.

[0237]

N6. LACK OF SPONTANEITY AND FLOW OF CONVERSATION—Reduction in the normal flow of communication associated with apathy, avolition, defensiveness or cognitive deficit. This is manifested by diminished fluidity and productivity of the verbal interactional process.

[0238]

N7. STEREOTYPED THINKING—Decreased fluidity, spontaneity and flexibility of thinking, as evidenced in rigid, repetitious or barren thought content.

[0239]

G1. SOMATIC CONCERN—Physical complaints or beliefs about bodily illness or malfunctions. This may range from a vague sense of ill being to clear-cut delusions of catastrophic physical disease.

[0240]

G2. ANXIETY—Subjective experience of nervousness, worry, apprehension or restlessness, ranging from excessive concern about the present or future to feelings of panic.

[0241]

G3. GUILT FEELINGS—Sense of remorse or self-blame for real or imagined misdeeds in the past.

[0242]

G4. TENSION—Overt physical manifestations of fear, anxiety, and agitation, such as stiffness, tremor, profuse sweating and restlessness.

[0243]

G5. MANNERISMS AND POSTURING—Unnatural movements or posture as characterized be an awkward, stilted, disorganized, or bizarre appearance.

[0244]

G6. DEPRESSION—Feelings of sadness, discouragement, helplessness and pessimism.

[0245]

G7. MOTOR RETARDATION—Reduction in motor activity as reflected in slowing or lessening or movements and speech, diminished responsiveness of stimuli, and reduced body tone.

[0246]

G8. UNCOOPERATIVENESS—Active refusal to comply with the will of significant others, including the interviewer, hospital staff or family, which may be associated with distrust, defensiveness, stubbornness, negativism, rejection of authority, hostility or belligerence.

[0247]

G9. UNUSUAL THOUGHT CONTENT—Thinking characterized by strange, fantastic or bizarre ideas, ranging from those which are remote or atypical to those which are distorted, illogical and patently absurd.

[0248]

G10. DISORIENTATION—Lack of awareness of one's relationship to the milieu, including persons, place and time, which may be due to confusion or withdrawal.

[0249]

G11. POOR ATTENTION—Failure in focused alertness manifested by poor concentration, distractibility from internal and external stimuli, and difficulty in harnessing, sustaining or shifting focus to new stimuli.

[0250]

G12. LACK OF JUDGEMENT AND INSIGHT—Impaired awareness or understanding of one's own psychiatric condition and life situation. This is evidenced by failure to recognize past or present psychiatric illness or symptoms, denial of need for psychiatric hospitalization or treatment, decisions characterized by poor anticipation or consequences, and unrealistic short-term and long-range planning.

[0251]

G13. DISTURBANCE OF VOLITION—Disturbance in the willful initiation, sustenance and control of one's thoughts, behavior, movements and speech.

[0252]

G14. POOR IMPULSE CONTROL—Disordered regulation and control of action on inner urges, resulting in sudden, unmodulated, arbitrary or misdirected discharge of tension and emotions without concern about consequences.

[0253]

G15. PREOCCUPATION—Absorption with internally generated thoughts and feelings and with autistic experiences to the detriment of reality orientation and adaptive behavior.

[0254]

G16. ACTIVE SOCIAL AVOIDANCE—Diminished social involvement associated with unwarranted fear, hostility, or distrust.

[0255]

Use of PANSS Score for Differential Diagnosis

[0256]

Each patient's disease manifestation and process is unique. PANSS provides a structured, objective way of describing the various aspects of psychopathology of a given patient. However, proper implementation of the PANSS requires highly trained personnel to conduct the assessment and to interpret the results, and there is potential for site to site variability, especially outside the research setting.

[0257]

Each of the PANSS composite scales and subscales can be considered a clinical endophenotype. The ability to link genetic profiles to these clinical endophenotypes, as described in the examples, will enable clinicians to refine a patient's diagnosis and develop a personalized therapeutic strategy for each patient. For example, the “A” allele of rs4832524, located in the KCNS3 gene, is associated with lower Negative Symptom burden as shown in the regression analysis in Table 14. Another example is the “A” allele of rs9823803, located in the GADL1 gene, which is significantly associated with lower scores on the Grandiosity Subscale as shown in the regression analysis in Table 15. By identifying these genetic contributions to specific endophenotypes, the physician can create a personalized diagnosis and treatment regime for the patient.

Current Treatment of SZ

[0258]

Subjects with SZ typically require acute treatment for psychotic exacerbations, and long-term treatment including maintenance and prophylactic strategies to sustain symptom improvement and prevent recurrence of psychosis. Subjects with schizoaffective disorder experience the symptoms of both SZ and affective disorder (manic and/or depressive), thus require the specific treatments for each disorder. Subjects with SPD sometimes require medication for acute psychotic episodes but are often treated using psychosocial methods. The methods described herein can include the administration of one or more accepted or experimental treatment modalities to a person identified as at risk of developing SZ, SPD, or a SD, based on the presence of a haplotype associated with SZ, SPD, or SD. Currently accepted treatments presently include both pharmacologic and psychosocial management, and occasionally electroconvulsive therapy (ECT).

[0259]

Standard pharmacologic therapies for SZ and SD include the administration of one or more antipsychotic medications, which are typically antagonists acting at postsynaptic D2dopamine receptors in the brain. Antipsychotic medications include conventional, or first generation, antipsychotic agents, which are sometimes referred to as neuroleptics because of their neurologic side effects, and second generation antipsychotic agents, which are less likely to exhibit neuroleptic effects and have been termed atypical antipsychotics.

[0260]

In some embodiments, the methods described herein include the administration of one or more antipsychotic medications to a person identified by a method described herein as being at risk of developing SZ. Antipsychotic medications substantially reduce the risk of relapse in the stable phase of illness. In some embodiments, the methods include the administration of a first generation antipsychotic medication at a dose that is around the “extrapyramidal symptom (EPS) threshold” (i.e., the dose that will induce extrapyramidal side effects, e.g., bradykinesia, rigidity, or dyskinesia, with minimal rigidity detectable on physical examination, and/or a second-generation antipsychotics at a dose that is therapeutic, yet below the EPS threshold.

[0261]

Standard pharmacologic therapies for SD also include the administration of a combination of antidepressant, and anti-anxiety medication. Suitable antidepressants include serotonergic antidepressants, e.g., fluoxetine or trazodone. Suitable anxiolytics include benzodiazepines, e.g., lorazepam, clonazepam. Lithium can also be administered. Thus, in some embodiments, the methods can include the administration of one or more antidepressant and/or anti-anxiety medications to a person identified as at risk of developing SZ.

[0262]

The methods can also include psychosocial and rehabilitation interventions, e.g., interventions that are generally accepted as therapeutically beneficial, e.g., cognitive-behavioral therapy for treatment-resistant positive psychotic symptoms; supportive, problem-solving, educationally oriented psychotherapy; family therapy and education programs aimed at helping patients and their families understand the patient's illness, reduce stress, and enhance coping capabilities; social and living skills training; supported employment programs; and/or the provision of supervised residential living arrangements.

[0263]

Currently accepted treatments for SZ are described in greater detail in the Practice Guideline for the Treatment of Patients With Schizophrenia, American Psychiatric Association, Second Edition, American Psychiatric Association, 2004, which is incorporated herein by reference in its entirety.

Methods of Determining Treatment Regimens and Methods of Treating SZ

[0264]

As described herein, the presence of certain haplotypes described herein has been correlated with an increased risk of developing or having SZ; in addition, haplotypes are described herein that are correlated with altered response to a treatment, e.g., a pharmacological treatment. An altered response can be, for example, a positive response (i.e., an improvement in one or more symptoms of the disease), negative response (worsening of one or more symptoms of the disease), no response, or the presence or absence of side effects. Thus, the new methods can also include selecting a treatment regimen for a subject determined to have SZ or to be at risk for developing SZ, based upon the absence or presence of a haplotype described herein. The determination of a treatment regimen can also be based upon the absence or presence of other risk factors associated with SZ, e.g., as described herein. Therefore, the methods of the invention can include selecting a treatment regimen for a subject having one or more risk factors for SZ, and having a haplotype described herein. The methods can also include administering a selected treatment regimen to a subject having, or at risk for developing, SZ, to thereby treat, prevent or delay further progression of the disease. A treatment regimen can include the administration of a selected antipsychotic medications to a subject identified as at risk of developing SZ, before the onset of any psychotic episodes. The medications can be selected based on the presence of a haplotype that is associated with, for example, positive response, or the absence of significant side effects.

[0265]

As used herein, the term “treat” or “treatment” is defined as the application or administration of a treatment regimen, e.g., a therapeutic agent or modality, to a subject, e.g., a patient. The subject can be a patient having SZ a symptom of SZ or at risk of developing (i.e., a predisposition toward) SZ. The treatment can be to cure, heal, alleviate, relieve, alter, remedy, ameliorate, palliate, improve or affect SZ, the symptoms of SZ or the predisposition toward SZ.

[0266]

The methods described herein, e.g., methods of determining a treatment regimen and methods of treatment or prevention of SZ can further include the step of monitoring the subject, e.g., for a change (e.g., an increase or decrease) in one or more of the diagnostic criteria for SZ listed herein, or any other parameter related to clinical outcome. The subject can be monitored in one or more of the following periods: prior to beginning of treatment; during the treatment; or after one or more elements of the treatment have been administered. Monitoring can be used to evaluate the need for further treatment with the same or a different therapeutic agent or modality. Generally, a decrease in one or more of the parameters described above is indicative of the improved condition of the subject, although with red blood cell and platelet levels, an increase can be associated with the improved condition of the subject.

[0267]

The methods can be used, e.g., to evaluate the suitability of, or to choose between alternative treatments, e.g., a particular dosage, mode of delivery, time of delivery, inclusion of adjunctive therapy, e.g., administration in combination with a second agent, or generally to determine the subject's probable drug response genotype. In a preferred embodiment, a treatment for SZ can be evaluated by administering the same treatment or combinations or treatments to a subject having SZ and a haplotype as described herein and to a subject that has SZ but does not have a haplotype as described herein. The effects of the treatment or combination of treatments on each of these subjects can be used to determine if a treatment or combination of treatments is particularly effective on a sub-group of subjects having SZ. In other embodiments, various treatments or combinations of treatments can be evaluated by administering two different treatments or combinations of treatments to at least two different subjects having SZ, and a haplotype as described herein. Such methods can be used to determine if a particular treatment or combination of treatments is more effective than others in treating this subset of SZ patients.

[0268]

Various treatment regimens are known for treating SZ, e.g., as described herein.

[0269]

Pharmacogenomics

[0270]

With regards to both prophylactic and therapeutic methods of treatment of SZ, such treatments may be specifically tailored or modified, based on knowledge obtained from the field of pharmacogenomics. “Pharmacogenomics,” as used herein, refers to the application of genomics technologies such as structural chromosomal analysis, to drugs in clinical development and on the market. See, for example, Eichelbaum et al., Clin. Exp. Pharmacol. Physiol. 23:983-985 (1996) and Linder et al., Clin. Chem. 43:254-266 (1997). Specifically, as used herein, the term refers the study of how a patient's genes determine his or her response to a drug (e.g., a patient's “drug response phenotype,” or “drug response genotype”). Thus, another aspect of the invention provides methods for tailoring an individual's prophylactic or therapeutic treatment according to that individual's drug response genotype.

[0271]

Information generated from pharmacogenomic research using a method described herein can be used to determine appropriate dosage and treatment regimens for prophylactic or therapeutic treatment of an individual. This knowledge, when applied to dosing or drug selection, can avoid adverse reactions or therapeutic failure and thus enhance therapeutic or prophylactic efficiency when administering a therapeutic composition, e.g., a cytotoxic agent or combination of cytotoxic agents, to a patient, as a means of treating or preventing SZ.

[0272]

In one embodiment, a physician or clinician may consider applying knowledge obtained in relevant pharmacogenomics studies, e.g., using a method described herein, when determining whether to administer a pharmaceutical composition, e.g., an antipsychotic agent or a combination of antipsychotic agents, to a subject. In another embodiment, a physician or clinician may consider applying such knowledge when determining the dosage, e.g., amount per treatment or frequency of treatments, of a treatment, e.g., a antipsychotic agent or combination of antipsychotic agents, administered to a patient.

[0273]

As one example, a physician or clinician may determine (or have determined, e.g., by a laboratory) the haplotype of a subject as described herein, and optionally one or more other markers associated with SZ of one or a group of subjects who may be participating in a clinical trial, wherein the subjects have SZ, and the clinical trial is designed to test the efficacy of a pharmaceutical composition, e.g., an antipsychotic or combination of antipsychotic agents, and wherein the physician or clinician attempts to correlate the genotypes of the subjects with their response to the pharmaceutical composition.

[0274]

As another example, information regarding a haplotype associated with an altered pharmacogenomic response for SZ as described herein, can be used to stratify or select a subject population for a clinical trial. The information can, in some embodiments, be used to stratify individuals that may exhibit a toxic response to a treatment from those that will not. In other cases, the information can be used to separate those that are more likely to be non-responders from those who will be responders. The haplotypes described herein can be used in pharmacogenomics-based design and to manage the conduct of a clinical trial, e.g., as described in U.S. Pat. Pub. No. 2003/0108938.

[0275]

As another example, information regarding a haplotype associated with an increased risk of SZ, or with altered pharmacogenomic response for SZ, as described herein, can be used to stratify or select human cells or cell lines for drug testing purposes. Human cells are useful for studying the effect of a polymorphism on physiological function, and for identifying and/or evaluating potential therapeutic agents for the treatment of SZ e.g., anti-psychotics. Thus the methods can include performing the present methods on genetic material from a cell line. The information can, in some embodiments, be used to separate cells that respond particular drugs from those that do not respond, e.g. which cells show altered second messenger signaling.

[0276]

Theranostics

[0277]

Also included herein are compositions and methods for the identification and treatment of subjects who have an increased risk of SZ, or altered clinical presentation of SZ, such that a theranostic approach can be taken to test such individuals to determine the effectiveness of a particular therapeutic intervention (e.g., a pharmaceutical or non-pharmaceutical intervention as described herein) and to alter the intervention to 1) reduce the risk of developing adverse outcomes and 2) enhance the effectiveness of the intervention. Thus, in addition to diagnosing or confirming the predisposition to SZ, the methods and compositions described herein also provide a means of optimizing the treatment of a subject having SZ. Provided herein is a theranostic approach to treating and preventing SZ, by integrating diagnostics and therapeutics to improve the real-time treatment of a subject. Practically, this means creating tests that can identify which patients are most suited to a particular therapy, and providing feedback on how well a drug is working to optimize treatment regimens.

[0278]

Within the clinical trial setting, a theranostic method or composition of the invention can provide key information to optimize trial design, monitor efficacy, and enhance drug safety. For instance, “trial design” theranostics can be used for patient stratification, determination of patient eligibility (inclusion/exclusion), creation of homogeneous treatment groups, and selection of patient samples that are representative of the general population. Such theranostic tests can therefore provide the means for patient efficacy enrichment, thereby minimizing the number of individuals needed for trial recruitment. “Efficacy” theranostics are useful for monitoring therapy and assessing efficacy criteria. Finally, “safety” theranostics can be used to prevent adverse drug reactions or avoid medication error.

[0279]

The methods described herein can include retrospective analysis of clinical trial data as well, both at the subject level and for the entire trial, to detect correlations between a haplotype as described herein and any measurable or quantifiable parameter relating to the outcome of the treatment, e.g., efficacy (the results of which may be binary (i.e., yes and no) as well as along a continuum), side-effect profile (e.g., weight gain, metabolic dysfunction, lipid dysfunction, movement disorders, or extrapyramidal symptoms), treatment maintenance and discontinuation rates, return to work status, hospitalizations, suicidality, total healthcare cost, social functioning scales, response to non-pharmacological treatments, and/or dose response curves. The results of these correlations can then be used to influence decision-making, e.g., regarding treatment or therapeutic strategies, provision of services, and/or payment. For example, a correlation between a positive outcome parameter (e.g., high efficacy, low side effect profile, high treatment maintenance/low discontinuation rates, good return to work status, low hospitalizations, low suicidality, low total healthcare cost, high social function scale, favorable response to non-pharmacological treatments, and/or acceptable dose response curves) and a selected haplotype can influence treatment such that the treatment is recommended or selected for a subject having the selected haplotype.

Kits

[0280]

Also within the scope of the invention are kits comprising a probe that hybridizes with a region of human chromosome as described herein and can be used to detect a polymorphism described herein. The kit can include one or more other elements including: instructions for use; and other reagents, e.g., a label, or an agent useful for attaching a label to the probe. Instructions for use can include instructions for diagnostic applications of the probe for assessing risk of SZ in a method described herein. Other instructions can include instructions for attaching a label to the probe, instructions for performing in situ analysis with the probe, and/or instructions for obtaining a sample to be analyzed from a subject. As discussed above, the kit can include a label, e.g., any of the labels described herein. In some embodiments, the kit includes a labeled probe that hybridizes to a region of human chromosome as described herein, e.g., a labeled probe as described herein.

[0281]

The kit can also include one or more additional probes that hybridize to the same chromosome, e.g., chromosome 2, 3, 4, 5, 6, 7, 8, 9 or 10, or another chromosome or portion thereof that can have an abnormality associated with risk for SZ. For example, the additional probe or probes can be: a probe that hybridizes to human chromosome 22q11-12 or a portion thereof, (e.g., a probe that detects a sequence associated with SZ or BD in this region of chromosome 22), or probes that hybridize to all or a portion of 22q12.3 (e.g., near D22S283), 22q11.2, 22q11.2, 22q11-q13, 1q42.1, 1 q42.1, 1q21-q22, 2p, 2q, 3p25, 4p, 4q, 5q11.2-q13.3, 6p22.3, 6p23, 6q13-q26, 7q, 8p12-21, 8q, 9p, 10p15-p13 (e.g., near D10S189), 10q22.3, 11q14-q21, 12q24, 13q34, 13q32, 14q32.3, 15q15, 16p, 17q, 18p, 18q, 19p. 20p, 21q, Xq, and/or the X/Y pseudoautosomal region. A kit that includes additional probes can further include labels, e.g., one or more of the same or different labels for the probes. In other embodiments, the additional probe or probes provided with the kit can be a labeled probe or probes. When the kit further includes one or more additional probe or probes, the kit can further provide instructions for the use of the additional probe or probes.

[0282]

Kits for use in self-testing can also be provided. For example, such test kits can include devices and instructions that a subject can use to obtain a sample, e.g., of buccal cells or blood, without the aid of a health care provider. For example, buccal cells can be obtained using a buccal swab or brush, or using mouthwash.

[0283]

Kits as provided herein can also include a mailer, e.g., a postage paid envelope or mailing pack, that can be used to return the sample for analysis, e.g., to a laboratory. The kit can include one or more containers for the sample, or the sample can be in a standard blood collection vial. The kit can also include one or more of an informed consent form, a test requisition form, and instructions on how to use the kit in a method described herein. Methods for using such kits are also included herein. One or more of the forms, e.g., the test requisition form, and the container holding the sample, can be coded, e.g., with a bar code, for identifying the subject who provided the sample.

Databases

[0284]

Also provided herein are databases that include a list of polymorphisms as described herein, and wherein the list is largely or entirely limited to polymorphisms identified as useful in performing genetic diagnosis of or determination of susceptibility to SZ as described herein. The list is stored, e.g., on a flat file or computer-readable medium. The databases can further include information regarding one or more subjects, e.g., whether a subject is affected or unaffected, clinical information such as endophenotype, age of onset of symptoms, any treatments administered and outcomes (e.g., data relevant to pharmacogenomics, diagnostics or theranostics), and other details, e.g., about the disorder in the subject, or environmental or other genetic factors. The databases can be used to detect correlations between a particular haplotype and the information regarding the subject, e.g., to detect correlations between a haplotype and a particular endophenotype, or treatment response.

Engineered Cells

[0285]

Also provided herein are engineered cells that harbor one or more polymorphism described herein, e.g., one or more polymorphisms that constitute a haplotype associated with SZ, altered drug response or a specific endophenotype. Such cells are useful for studying the effect of a polymorphism on physiological function, and for identifying and/or evaluating potential therapeutic agents for the treatment of SZ-spectrum disorders e.g., anti-psychotics.

[0286]

As one example, included herein are cells in which one of the various alleles of the genes described herein has be re-created that is associated with an increased risk of SZ. Methods are known in the art for generating cells, e.g., by homologous recombination between the endogenous gene and an exogenous DNA molecule introduced into a cell, e.g., a cell of an animal. In some embodiments, the cells can be used to generate transgenic animals using methods known in the art.

[0287]

The cells are preferably mammalian cells, e.g., neuronal type cells, in which an endogenous gene has been altered to include a polymorphism as described herein. Techniques such as targeted homologous recombinations, can be used to insert the heterologous DNA as described in, e.g., Chappel, U.S. Pat. No. 5,272,071; WO 91/06667, published in May 16, 1991.

EXAMPLES

[0288]

The invention is further described in the following examples, which do not limit the scope of the invention described in the claims.

Example 1

Novel Markers Associated with SZ

[0289]

The Clinical Antipsychotic Trials of Intervention Effectiveness (CATIE), a large federally funded clinical trial designed to assess the efficacy of antipsychotics in a real world setting, is a valuable resource for determining the role of genes in drug response (Stroup et al., Schizophr. Bull. 29:15-31 (2003); Lieberman et al., N. Engl. J. Med. 353:1209-1223 (2005)). As part of the CATIE trial, SNP genotyping was performed for roughly half of the trial participants (Sullivan et al., Mol. Psychiatry 13:570-584 (2008)). When combined with disease status, PANSS scores, and clinical drug response data, the genotyping data allows the identification of genetic variants (e.g., SNPs) that are statistically associated with increased risk of developing SZ.

[0290]

The design of the CATIE study has been described in detail by others (see, e.g., Stroup et al., Schizophr. Bull. 29:15-31 (2003); Lieberman et al., N. Engl. J. Med. 353:1209-1223 (2005)). Briefly, 1460 subjects were randomly assigned one of several antipsychotics and those who did not respond or chose to quit their current medication were re-randomized to another drug. Details regarding SNP genotyping and quality control have been recently published (Sullivan et al., Mol. Psychiatry 13:570-584 (2008)).

[0291]

Genotype and phenotype data for the CATIE trial were made available to qualified researchers through the NIMH Center for Collaborative Genetic Studies on Mental Disorders. Data for 417 patients with schizophrenia and 419 unaffected controls self reported as having exclusively European ancestry were evaluated. This same patient population was described in a recent study by Sullivan and coworkers, which confirmed that there is no hidden stratification in the sample (Sullivan et al., Mol. Psychiatry 13:570-584 (2008)).

[0292]

In addition, for this example, genotyping and phenotype data were obtained from the Genetic Analysis Information Network (GAIN) Database found at ncbi.nlm.nih.gov through dbGaP, at accession number PHS000017.v1.p1. Genotypes and associated phenotype data for the GAIN Genome-Wide Association Study of Schizophrenia were provided by P. Gejman, and genotyping of these samples was provided through the Genetic Association Information Network (GAIN). Data for 1172 cases and 1378 controls with Caucasian ancestry were evaluated for the GAIN sample.

[0293]

For both the CATIE and GAIN studies, individual cases were diagnosed as having SZ based on DSM-III/IV criteria.

[0294]

Statistical Methods:

[0295]

Genetic analysis to document the influence of haplotypes on SZ risk was performed using the PLINK 1.03 whole genome analysis toolset developed by Purcell and coworkers (Purcell et al., Am. J. Hum. Genet. 81:559-575 (2007)). PLINK calculates P values for the allele-specific chi-squared test and the odds ratio (OR; or relative risk) associated with the minor allele.

[0296]

Confirmation of Novel Markers Associated with SZ risk:

[0297]

Table 1 provides numerous examples of SNP-based alleles that influence SZ risk. Table 1 reports the minor allele frequencies, P values, and ORs for numerous SNPs, in Tables B and C, that affect SZ risk. ORs of >1.0 indicate that the minor SNP allele is associated with greater susceptibility, and ORs of <1.0 indicate that the minor SNP allele is associated with decreased susceptibility to SZ.

[0298]

Note in Table 1 that haplotype blocks result in the same Test SNP being in linkage disequilibrium with multiple SNPs in Table B. Similarly, haplotype blocks result in multiple Test SNPs that can be used for each SNP listed in Table B, though such redundant examples are not presented in Table 1, unless the test SNP was evaluated in both the CATIE and GAIN samples.

[0000]

Confirmation of Novel Markers Associated with SZ risk
Test SNP in
Table BlinkageFrequency in
Gene NameSNPdisequilibriumr2AlleleCasesPORStudy
ATP6V1C2rs1198849rs67570050.61G0.4940.035421.13GAIN
NAGrs6736116rs10165670.55T0.2760.029211.28CATIE
NAGrs2302941rs10165670.96T0.2760.029211.28CATIE
NAGrs7584861rs20421440.81C0.4760.039231.23CATIE
NAGrs4668892rs20421440.81C0.4760.039231.23CATIE
NAGrs3805095rs20421440.87C0.4760.039231.23CATIE
VSNL1rs1615739rs27106840.53A0.2280.023021.17GAIN
GLSrs1168rs130004640.54A0.4180.013711.15GAIN
GLSrs984610rs15466460.89A0.4020.0030191.19GAIN
GLSrs2204859rs15466460.58A0.4020.0030191.19GAIN
TMEFF2rs10170881rs76048680.66C0.3230.0001771.51CATIE
TMEFF2rs10187928rs44839860.64A0.2620.0001061.59CATIE
TMEFF2rs4311010rs44839860.77A0.2620.0001061.59CATIE
TMEFF2rs4456647rs28840240.55C0.0530.016351.85CATIE
KCNJ13rs1801251rs1801251N/AA0.3190.031910.80CATIE
DGKDrs11681604rs75662210.86G0.1770.034021.17GAIN
CENTG2rs6759206rs130255910.76C0.4160.018191.15GAIN
CENTG2rs2278884rs67489680.96T0.2910.02820.87GAIN
CENTG2rs11899677rs67489680.52T0.2910.02820.87GAIN
SLC6A11rs2304725rs28805860.58T0.2120.0092040.74CATIE
SLC6A11rs4684739rs28805860.56T0.2120.0092040.74CATIE
SLC6A11rs2245532rs111285320.78A0.3390.034260.88GAIN
SLC6A11rs2272395rs111285320.54A0.3390.034260.88GAIN
ZNF659rs4298061rs39365750.69A0.2260.01440.76CATIE
ZNF659rs4298061rs98810550.77G0.2430.012870.85GAIN
ZNF659rs9875169rs130760730.58C0.3230.020840.79CATIE
EPHA3rs9835094rs74285980.96G0.4290.023581.26CATIE
CBLBrs6807382rs124974280.62G0.1360.032481.20GAIN
CBLBrs7645021rs124974280.71G0.1360.032481.20GAIN
CBLBrs10804442rs124974280.71G0.1360.032481.20GAIN
CBLBrs13060223rs124974280.68G0.1360.032481.20GAIN
IFT57rs1289766rs3263351.00C0.0690.0003442.35CATIE
IFT57rs428321rs3263350.76C0.0690.0003442.35CATIE
IFT57rs326335rs326335N/AC0.0690.0003442.35CATIE
IFT57rs16854283rs16854283N/AA0.0540.0040042.11CATIE
IFT57rs1289750rs12897441.00C0.1810.0044531.47CATIE
IFT57rs1289754rs12897441.00C0.1810.0044531.47CATIE
TAGLN3rs3749309rs37493100.96C0.4510.023841.14GAIN
STIM2rs725981rs96541100.78G0.4280.0059290.76CATIE
STIM2rs6822297rs96541100.78G0.4280.0059290.76CATIE
STIM2rs6855865rs45869180.64T0.1890.0007340.67CATIE
STIM2rs10939141rs45869180.83T0.1890.0007340.67CATIE
STIM2rs3762900rs45869180.56T0.1890.0007340.67CATIE
STIM2rs1012550rs45869180.64T0.1890.0007340.67CATIE
CENTD1rs13139479rs20483740.64C0.1940.0014561.53CATIE
CENTD1rs13151864rs65314110.51C0.1000.020041.51CATIE
GPRIN3rs7653897rs76909861.00C0.4590.049190.90GAIN
UNC5Crs17023119rs105169591.00C0.0240.0015620.42CATIE
UNC5Crs1032138rs2650140.90C0.0740.01170.77GAIN
UNC5Crs10856914rs131487870.59A0.3650.0006721.22GAIN
PPP3CArs3804350rs20377730.53C0.1920.026230.86GAIN
PPP3CArs1405686rs28510620.68C0.4510.039860.89GAIN
PPP3CArs6532920rs27325060.71C0.4030.035251.24CATIE
GPM6Ars6812406rs14957160.79C0.4210.02451.25CATIE
CTNND2rs2905990rs29735110.72C0.4440.0078061.16GAIN
CTNND2rs2905990rs68986290.51A0.2140.038110.79CATIE
CTNND2rs1990005rs125162620.58T0.5000.036741.13GAIN
CTNND2rs2158444rs133582760.51T0.3750.0003640.81GAIN
CTNND2rs32264rs322671.00A0.4760.048451.12GAIN
CTNND2rs258630rs275200.57C0.5070.0013491.20GAIN
CTNND2rs258630rs275200.57C0.4570.044710.82CATIE
CTNND2rs258634rs25302150.68C0.5000.0001321.24GAIN
CTNND2rs6875838rs93127680.69A0.3600.0041161.19GAIN
CTNND2rs249264rs261530.51C0.4170.043311.23CATIE
CTNND2rs1458472rs47028400.91C0.2500.033341.15GAIN
CTNND2rs2168879rs47028400.64C0.2500.033341.15GAIN
IQGAP2rs6453217rs109427680.58C0.3860.043791.13GAIN
PDE8Brs10066037rs77021920.81A0.4590.021620.80CATIE
SCAMP1rs4530741rs68608420.92T0.2350.031450.79CATIE
SCAMP1rs16875377rs68608421.00T0.2350.031450.79CATIE
SCAMP1rs1046819rs68608421.00T0.2350.031450.79CATIE
SCAMP1rs4143069rs39522310.71G0.4410.030630.81CATIE
SCAMP1rs11950060rs39522310.76G0.4410.030630.81CATIE
SCAMP1rs10076542rs39522310.74G0.4410.030630.81CATIE
KCNIP1rs906362rs9063611.00T0.1280.0024060.78GAIN
KCNIP1rs4242157rs104759460.78T0.3670.0085350.77CATIE
KCNIP1rs6879997rs10553810.60T0.2860.027421.28CATIE
STK10rs11134732rs11134732N/AT0.3750.024940.80CATIE
DGKBrs2079460rs171679420.60A0.2310.0060371.21GAIN
DGKBrs6966154rs171679420.72A0.2310.0060371.21GAIN
DGKBrs2357958rs1967510.51T0.4380.02750.81CATIE
DGKBrs3823843rs104994410.81C0.3700.02520.88GAIN
DGKBrs4721345rs104994410.59C0.3700.02520.88GAIN
DGKBrs3823843rs126996290.55T0.3510.023830.79CATIE
DGKBrs4721345rs126996290.73T0.3510.023830.79CATIE
DGKBrs979499rs69575931.00T0.1130.015690.70CATIE
DGKBrs4632953rs69575930.83T0.1130.015690.70CATIE
DGKBrs4632953rs23580680.62T0.1150.03880.84GAIN
DGKBrs979499rs102773670.58G0.2720.03920.88GAIN
TSPAN13rs6461275rs11680550.54C0.3960.01740.87GAIN
TSPAN13rs2290837rs69514490.85A0.3770.044911.13GAIN
TSPAN13rs3807509rs69514490.85A0.3770.044911.13GAIN
TSPAN13rs4721539rs69514490.81A0.3770.044911.13GAIN
TSPAN13rs7808455rs69514490.85A0.3770.044911.13GAIN
CALN1rs6961002rs117638310.51C0.3790.019560.79CATIE
PIK3CGrs12536620rs15260830.75C0.3650.033220.81CATIE
PIK3CGrs12667819rs15260830.78C0.3650.033220.81CATIE
PIK3CGrs1526083rs1526083N/AC0.3650.033220.81CATIE
NRCAMrs11983886rs121117760.63A0.1300.025531.42CATIE
NRCAMrs11983886rs22842800.51T0.2750.0091911.18GAIN
NRCAMrs441468rs22842800.51T0.2930.037671.26CATIE
NRCAMrs411444rs22842800.51T0.2930.037671.26CATIE
NRCAMrs439587rs22842800.51T0.2930.037671.26CATIE
NRCAMrs12670313rs69620660.73A0.2620.022871.30CATIE
NRCAMrs12537654rs69620660.55A0.2620.022871.30CATIE
NRCAMrs2142325rs69620660.94A0.2620.022871.30CATIE
NRCAMrs401433rs69620660.84A0.2620.022871.30CATIE
NRCAMrs409797rs69620660.73A0.2620.022871.30CATIE
NRCAMrs428459rs69620660.56A0.2620.022871.30CATIE
NRCAMrs6962066rs6962066N/AA0.2620.022871.30CATIE
NRCAMrs381318rs69620660.61A0.2620.022871.30CATIE
NRCAMrs381318rs4042870.77G0.2390.0052871.21GAIN
NRCAMrs409797rs4042870.56G0.2390.0052871.21GAIN
NRCAMrs411444rs4042870.59G0.2390.0052871.21GAIN
NRCAMrs428459rs4042870.60G0.2390.0052871.21GAIN
NRCAMrs439587rs4042870.59G0.2390.0052871.21GAIN
NRCAMrs441468rs4042870.59G0.2390.0052871.21GAIN
NRCAMrs6958498rs4042871.00G0.2390.0052871.21GAIN
NRCAMrs12670313rs4042870.56G0.2390.0052871.21GAIN
NRCAMrs401433rs4250130.57G0.2920.0079221.18GAIN
NRCAMrs404287rs4250130.77G0.2920.0079221.18GAIN
NRCAMrs2142325rs4250130.65G0.2920.0079221.18GAIN
NRCAMrs6962066rs4250130.61G0.2920.0079221.18GAIN
NRCAMrs12537654rs4250130.65G0.2920.0079221.18GAIN
NRCAMrs404287rs4250130.77G0.3150.031211.26CATIE
NRCAMrs6958498rs4250130.77G0.3150.031211.26CATIE
PTP4A3rs7463766rs99873180.69A0.4940.027211.24CATIE
PTP4A3rs12541005rs99873181.00A0.4940.027211.24CATIE
PTP4A3rs9987318rs9987318N/AA0.4940.027211.24CATIE
TSNARE1rs11167136rs100980730.64A0.4970.0058451.17GAIN
TSNARE1rs4325020rs65836070.51C0.4160.01560.87GAIN
TSNARE1rs12547214rs65836070.75C0.4160.01560.87GAIN
TSNARE1rs6583623rs78292270.79T0.1220.024250.73CATIE
TSNARE1rs7462663rs78292271.00T0.1220.024250.73CATIE
LYNX1rs3808493rs20042430.95A0.2120.012251.37CATIE
MUSKrs4574919rs109805640.67A0.4080.0087350.77CATIE
EDG2rs12555560rs49784310.57C0.1440.048331.34CATIE
KIAA0368rs16916080rs22821811.00G0.0130.033180.46CATIE
KIAA0368rs16916080rs22975231.00A0.0130.032991.83GAIN
RGS3rs7864467rs123373400.54G0.0880.035880.82GAIN
RGS3rs10981815rs123373400.54G0.0880.035880.82GAIN
RGS3rs12338788rs123373400.63G0.0880.035880.82GAIN
RGS3rs12351728rs123373400.54G0.0880.035880.82GAIN
DFNB31rs1001506ts22741600.61T0.2550.04421.14GAIN
DFNB31rs4979387ts22741600.80T0.2550.04421.14GAIN
DFNB31rs731421rs107394110.54C0.2960.0050130.84GAIN
DFNB31rs2274158rs107394110.54C0.2960.0050130.84GAIN
DFNB31rs10759694rs107394110.54C0.2960.0050130.84GAIN
DFNB31rs10982256rs10982256N/AG0.4230.042060.82CATIE
ASTN2rs11790014rs108179180.85C0.0870.011631.63CATIE
ASTN2rs10513278rs109833980.56A0.3370.008720.77CATIE
ASTN2rs10983437rs107598760.57T0.2130.0035141.23GAIN
ASTN2rs1888288rs19289950.61C0.4910.026151.13GAIN
ASTN2rs10983437rs108179721.00A0.1280.037721.38CATIE
NEK6rs4838143rs169273270.94A0.1620.018850.84GAIN
NEK6rs4838143rs169273270.94A0.1700.027630.76CATIE
SGMS1rs6481183rs6481183N/AC0.2710.024160.87GAIN
SGMS1rs2251601rs49356050.96C0.2720.00940.85GAIN
PRKG1rs1937655rs122663970.90T0.4440.037281.13GAIN
PRKG1rs1937672rs108237980.52T0.3130.038410.81CATIE
PRKG1rs7083967rs19194610.96T0.4140.011031.29CATIE
PRKG1rs11001472rs19194611.00T0.4140.011031.29CATIE
PRKG1rs13499rs101284570.68C0.4690.0026021.35CATIE
PRKG1rs1881597rs101284570.66C0.4690.0026021.35CATIE
PCDH15rs3812658rs18763280.53A0.3100.021690.79CATIE
PCDH15rs857395rs23844130.54A0.1170.0047610.79GAIN
PCDH15rs721825rs110041530.72G0.3200.047440.81CATIE
PCDH15rs7093302rs110041530.57G0.3200.047440.81CATIE
PCDH15rs2153822rs169058880.77G0.1930.043060.78CATIE
PCDH15rs11004439rs23845200.92A0.2670.016641.32CATIE
CTNNA3rs1911342rs19113030.80C0.0550.024251.74CATIE
CTNNA3rs7092601rs43414300.93C0.4100.0014770.83GAIN
CTNNA3,rs2147886rs107621350.560.2630.040460.88GAIN
LRRTM3C
CTNNA3,rs2894028rs107621350.540.2630.040460.88GAIN
LRRTM3C
CTNNA3,rs10822960rs107621350.700.2630.040460.88GAIN
LRRTM3C
CTNNA3rs12265366rs18854730.53G0.3430.02521.14GAIN
PIK3AP1rs7448rs9124800.89C0.3400.0079521.18GAIN
PIK3AP1rs927639rs9124800.89C0.3400.0079521.18GAIN
PIK3AP1rs3748234rs9124800.75C0.3400.0079521.18GAIN
PIK3AP1rs10736114rs9124801.00C0.3400.0079521.18GAIN
PIK3AP1rs11188853rs9124800.80C0.3400.0079521.18GAIN
PIK3AP1rs3748236rs127849750.76G0.2110.011271.20GAIN
PIK3AP1rs11188844rs127849750.66G0.2110.011271.20GAIN
PIK3AP1rs12784975rs12784975N/AG0.2110.011271.20GAIN
PIK3AP1rs563654rs563654N/AT0.0620.040280.80GAIN
PIK3AP1rs3748229rs11724790.62T0.2420.021060.86GAIN
SLIT1rs7922865rs78968830.73C0.2380.0004511.54CATIE
SLIT1rs2817667rs28176660.62A0.3960.044830.89GAIN

Example 2

Novel Markers Associated with Olanzapine Response

[0299]

To assess drug response, the last observation for each patient in treatment Phase 1 of the CATIE trial was used as a primary assessment of efficacy. The standard FDA registration trial definition of response of ≧20% decrease in Positive and Negative Syndrome Scale (PANSS Total Score) was used to assign subjects to a response category. Individuals having composite ordinal effectiveness outcome (COMPEFF) scores of 1 of 2, indicating efficacy, were combined as were those with scores of 3 or 4, indicating lack of efficacy (Davis et al., Schizophr. Bull. 29:73-80 (2003)). The side effects category consisted of individuals discontinued for safety concerns (COMPEFF score 5).

[0300]

Genetic analysis to document the influence of haplotypes on olanzapinc response was performed using as described in Example 1 with the PLINK 1.03 whole genome analysis toolset developed by Purcell and coworkers (Purcell et al., Am. J. Hum. Genet. 81:559-575 (2007)). PLINK calculates P values for the allele-specific chi-squared test and the odds ratio (OR; or relative risk) associated with the minor allele.

[0301]

Confirmation of SNP Effects on Olanzapine Response and Side Effects:

[0302]

Tables 2 and 3 report the minor allele frequencies, P values, and ORs for SNPs in Tables B and C, that affect olanzapine response and side effect rates, respectively. Note in Tables 2 and 3 that haplotype blocks result in the same Test SNP being in linkage disequilibrium with multiple SNPs in Table B. Similarly, haplotype blocks result in multiple Test SNPs that can be used for each SNP listed in Table B, though such redundant examples are not presented in Tables 2 and 3.

[0303]

Tables 2 and 3, provide numerous examples of SNP-based alleles that predict altered response to olanzapine. For Table 2, ORs of >1.0 indicate that the minor SNP allele is associated with greater clinical improvement, and ORs of <1.0 indicate that the minor SNP allele is associated with decreased susceptibility. For Table 3 ORs of >1.0 indicate that the minor SNP allele is associated with an increase in study ending side effects, and ORs of <1.0 indicate that the minor SNP allele is associated a decrease in study ending side effects.

[0000]

Alleles Affecting Positive Response to Olanzapine
Test SNP inFrequency
GeneTable Blinkagein
NameSNPdisequilibriumr2AllelerespondersPOR
NAGrs6730450rs130073830.77T0.0280.002070.132
NAGrs4668888rs168624350.55C0.0970.015690.346
KCNS3rs3747516rs3747516N/AA0.2080.025112.560
KCNS3rs10186418rs37475160.93A0.2080.025112.560
SCN2Ars353119rs76000820.53T0.2210.042552.286
TRPM8rs4663999rs4663999N/AT0.3060.037920.522
ZNF659rs4298061rs39365750.69A0.3140.029362.154
GADL1rs1159653rs98095830.64C0.2780.006522.802
MYRIPrs4618168rs126291110.66C0.5140.042911.844
IHPK2rs4858798rs4858798N/AG0.2430.042010.506
IHPK2rs4858828rs48587981G0.2430.042010.506
IHPK2rs4858831rs4858831N/AC0.2500.047890.522
ROBO1rs983513rs15633840.59G0.1670.024750.438
STIM2rs725981rs96541100.78G0.5420.008532.220
STIM2rs6822297rs96541100.78G0.5420.008532.220
STIM2rs1012550rs45869180.64A0.3190.024922.168
STIM2rs3762900rs45869180.56A0.3190.024922.168
STIM2rs6855865rs45869180.64A0.3190.024922.168
STIM2rs10939141rs45869180.83A0.3190.024922.168
CENTD1rs13139479rs65314110.54C0.0560.017520.277
CENTD1rs13151864rs65314110.51C0.0560.017520.277
PPP3CArs6532920rs26952060.6T0.5690.021731.998
GPM6Ars6812406rs14957160.79C0.5420.005962.305
CTNND2rs2905990rs2905990N/AT0.4860.008612.243
CTNND2rs6875838rs14234940.83C0.5140.01722.061
PPWD1rs669571rs669571N/AA0.4720.038431.884
PPWD1rs37337rs373391G0.4860.021172.046
PPWD1rs37338rs373391G0.4860.021172.046
PPWD1rs41353rs373391G0.4860.021172.046
PPWD1rs154859rs373391G0.4860.021172.046
PPWD1rs432206rs373390.96G0.4860.021172.046
PPWD1rs461534rs373391G0.4860.021172.046
PPWD1rs468754rs373391G0.4860.021172.046
PPWD1rs468821rs373391G0.4860.021172.046
PPWD1rs27139rs27139N/AG0.4720.038431.884
TRIM23rs154858rs154858N/AG0.4720.038431.884
TRIM23rs42468rs42468N/AT0.4860.027581.969
FBXW11rs702110rs702110N/AA0.0000.024160.000
FBXW11rs15963rs104759940.59C0.0140.013730.114
FBXW11rs839282rs104759940.9C0.0140.013730.114
FBXW11rs2111007rs104759941C0.0140.013730.114
FBXW11rs2569091rs104759940.9C0.0140.013730.114
FBXW11rs6555980rs104759941C0.0140.013730.114
FBXW11rs6555982rs104759940.9C0.0140.013730.114
FBXW11rs6555988rs104759940.75C0.0140.013730.114
FBXW11rs10516092rs104759940.72C0.0140.013730.114
GPR85rs1608890rs1608890N/AA0.0420.001950.170
CENTG3rs6951528rs117668550.53T0.1390.033010.434
MUSKrs1011919rs45795950.52C0.3060.041462.032
MUSKrs1940251rs45795950.56C0.3060.041462.032
PAPPArs1405rs108178650.76G0.5570.006062.327
PAPPArs405485rs108178651G0.5570.006062.327
PAPPArs407200rs108178650.7G0.5570.006062.327
PAPPArs1888636rs108178650.73G0.5570.006062.327
PAPPArs10817865rs10817865N/AG0.5570.006062.327
PAPPArs10983070rs108178650.7G0.5570.006062.327
PAPPArs10983085rs108178650.73G0.5570.006062.327
PAPPArs13290387rs108178650.73G0.5570.006062.327
ASTN2rs915281rs10167300.57A0.3330.007100.437
PCDH15rs4935502rs97874650.56G0.2290.033852.348
PCDH15rs7093302rs97874650.53G0.2290.033852.348
PCDH15rs4403715rs97874650.53G0.2290.033852.348
PCDH15rs4935502rs4935502N/AG0.2080.002154.098
PCDH15rs857395rs10202030.54G0.0280.006550.159
SLIT1rs11188985rs70696170.71G0.2360.007023.007

[0000]

Alleles Affecting Negative Side Effects for Olanzapine
Test SNP in
Table BlinkageFrequency in
Gene NameSNPdisequilibriumr2AllelediscontinuersPOR
NAGrs4668909rs46689260.864G0.4550.018062.315
NAGrs12692275rs46689261G0.4550.018062.315
NAGrs13029846rs46689260.86G0.4550.018062.315
SCN2Ars353119rs3531280.6G0.2610.014330.406
INPP1rs4656rs9726891G0.4350.026422.179
INPP1rs2016037rs9726890.7G0.4350.026422.179
INPP1rs10931450rs9726890.67G0.4350.026422.179
INPP1rs7592352rs7592352N/AG0.0650.002008>10
MYO1Brs4853561rs134277610.54G0.5650.014292.300
MYO1Brs4853581rs134277610.96G0.5650.014292.300
ROBO1rs983513rs15633840.59G0.3700.046742.052
STIM2rs725981rs76729360.78C0.6090.043032.000
STIM2rs6822297rs76729360.9C0.6090.043032.000
CENTD1rs1878825rs76708680.69G0.5950.0077712.566
CENTD1rs2271810rs76708680.67G0.5950.0077712.566
CENTD1rs10517369rs76708680.61G0.5950.0077712.566
CENTD1rs12651329rs76708681G0.5950.0077712.566
CENTD1rs16991904rs76708680.87G0.5950.0077712.566
GRID2rs6851143rs76725110.79A0.3910.026832.210
GRID2rs9998217rs131354070.51G0.2170.033440.437
GRID2rs12505322rs131354070.51G0.2170.033440.437
UNC5Crs2276322rs14345340.74G0.5440.0022992.834
UNC5Crs3733212rs14345340.74G0.5440.0022992.834
UNC5Crs4699415rs14345340.86G0.5440.0022992.834
UNC5Crs4699836rs14345340.68G0.5440.0022992.834
UNC5Crs12642020rs14345340.77G0.5440.0022992.834
NLNrs2248213rs25612000.54T0.5000.016542.302
PIK3R1rs706713rs7067141C0.3260.048612.097
IQGAP2rs10942768rs92936830.85C0.1910.0015480.272
IQGAP2rs6453217rs100773720.87A0.5910.021772.218
TSNARE1rs7462663rs49769520.51G0.1590.047892.796
PAPPArs1405rs108178650.76G0.2860.03230.448
PAPPArs405485rs108178651G0.2860.03230.448
PAPPArs407200rs108178650.7G0.2860.03230.448
PAPPArs1888636rs108178650.73G0.2860.03230.448
PAPPArs10817865rs10817865N/AG0.2860.03230.448
PAPPArs10983070rs108178650.7G0.2860.03230.448
PAPPArs10983085rs108178650.73G0.2860.03230.448
PAPPArs13290387rs108178650.73G0.2860.03230.448
ASTN2rs7518rs64782370.74A0.3700.031172.189
ASTN2rs1054402rs64782370.64A0.3700.031172.189
ASTN2rs915281rs10167300.57A0.5870.043581.989
PRKG1rs7083967rs19194600.96A0.3480.017540.438
PRKG1rs11001472rs19194601A0.3480.017540.438
CTNNA3, LRRTM3rs1925570rs19520600.72C0.6140.0037162.749
CTNNA3, LRRTM3rs2147886rs19520600.7C0.6140.0037162.749
CTNNA3, LRRTM3rs2894028rs19520600.6C0.6140.0037162.749
CTNNA3, LRRTM3rs4746659rs19520600.63C0.6140.0037162.749
CTNNA3, LRRTM3rs10822960rs19520600.6C0.6140.0037162.749
PIK3AP1rs3748229rs11724790.62A0.4350.025472.180
SLIT1rs7922865rs78968830.73C0.0650.0023820.178

Example 3

Novel Markers Associated with Risperidone Response

[0304]

To assess drug response, the last observation for each patient in treatment Phase 1 of the CATIE trial was used as a primary assessment of efficacy. The standard FDA registration trial definition of response of ≧20% decrease in Positive and Negative Syndrome Scale (PANSS Total Score) was used to assign subjects to a response category. Individuals having composite ordinal effectiveness outcome (COMPEFF) scores of 1 of 2, indicating efficacy, were combined as were those with scores of 3 or 4, indicating lack of efficacy (Davis et al., Schizophr. Bull. 29:73-80 (2003)). The side effects category consisted of individuals discontinued for safety concerns (COMPEFF score 5).

[0305]

Genetic analysis to document the influence of haplotypes on risperidone response was performed using as described in Example 2 with the PLINK 1.03 whole genome analysis toolset developed by Purcell and coworkers (Purcell et al., Am. J. Hum. Genet. 81:559-575 (2007)). PLINK calculates P values for the allele-specific chi-squared test and the odds ratio (OR; or relative risk) associated with the minor allele.

[0306]

Confirmation of SNP Effects on Risperidone Response and Side Effects:

[0307]

Tables 4 and 5 report the minor allele frequencies, P values, and ORs for SNPs, in Tables B and C that affect risperidone response and side effect rates, respectively. Note in Tables 4 and 5 that haplotype blocks result in the same Test SNP being in linkage disequilibrium with multiple SNPs in Table B. Similarly, haplotype blocks result in multiple Test SNPs that can be used for each SNP listed in Table B, though such redundant examples are not presented in Tables 4 and 5.

[0308]

Tables 4 and 5, provide numerous examples of SNP-based alleles that predict altered response to risperidone. For Table 4, ORs of >1.0 indicate that the minor SNP allele is associated with greater clinical improvement, and ORs of <1.0 indicate that the minor SNP allele is associated with lesser clinical improvement. For Table 5 ORs of >1.0 indicate that the minor SNP allele is associated with an increase in study ending side effects, and ORs of <1.0 indicate that the minor SNP allele is associated a decrease in study ending side effects.

[0000]

Alleles Affecting Positive Response to Risperidone
Test SNP inFrequency
linkagein
Gene NameTable B SNPdisequilibriumr2AllelerespondersPOR
NAGrs2042145rs7598051.00C0.3130.039762.045
NAGrs4668909rs38051030.86G0.2660.018910.462
NAGrs12692275rs38051031.00G0.2660.018910.462
NAGrs13029846rs38051030.86G0.2660.018910.462
HS1BP3rs17662644rs176630450.92T0.4060.042121.928
SLC4A10rs1913808rs126176560.74C0.4530.0018752.700
SLC4A10rs6432706rs126176560.74C0.4530.0018752.700
SLC4A10rs12617656rs12617656N/AC0.4530.0018752.700
SCN2Ars353119rs3531280.60G0.2190.014940.431
SCN2Ars1007722rs46674850.87C0.5000.032471.933
SCN2Ars1821223rs46674850.87C0.5000.032471.933
SCN2Ars16850532rs46674850.87C0.5000.032471.933
INPP1rs7592352rs7592352N/AG0.0000.044330.000
HECW2rs1531111rs38493600.51A0.2810.044552.068
HECW2rs7355529rs92882640.89G0.3590.027562.084
HECW2rs7577213rs92882640.60G0.3590.027562.084
NGEFrs4973588rs67438510.61T0.0780.03250.346
TRPM8rs2215173rs75959600.59A0.0160.01010.107
MYRIPrs2049625rs98144621.00T0.1090.047940.418
ROBO1rs3773190rs119254520.51T0.3440.000733.317
ROBO1rs11925452rs11925452N/AT0.3440.000733.317
EPHA3rs1054750rs170269441.00A0.3130.045512.008
EPHA3rs7632502rs170269440.51A0.3130.045512.008
CBLBrs13060223rs76461590.51G0.4690.040321.891
CBLBrs6807382rs67959610.90G0.3390.043451.992
CBLBrs7645021rs67959611.00G0.3390.043451.992
CBLBrs7649466rs67959610.71G0.3390.043451.992
CBLBrs10804442rs67959611.00G0.3390.043451.992
IFT57rs428321rs428321N/AT0.0310.009110.171
IFT57rs1289766rs4283210.76T0.0310.009110.171
IFT57rs326335rs326335N/AC0.0310.022620.204
IFT57rs16854283rs16854283N/AT0.0160.034660.145
CRMP1rs3755851rs43157270.70C0.2660.0009480.340
CRMP1rs13130069rs43157270.51C0.2660.0009480.340
JAKMIP1rs12646356rs46893340.61A0.3390.0039380.402
STIM2rs12642922rs68356310.93G0.3130.013282.403
NMUrs13132085rs13132085N/AA0.2190.040810.490
GRID2rs11097378rs76717940.89A0.4380.028371.997
UNC5Crs10856914rs108569160.96T0.5650.0057122.367
PPP3CArs2732509rs27325180.88C0.1090.02413.930
SLC6A3rs464049rs464049N/AG0.3280.029730.503
CTNND2rs2302179rs68717690.61C0.0780.018720.315
CTNND2rs2277054rs68852240.67C0.2970.017780.464
KCNIP1, KCNMB1rs314155rs7035040.56C0.4840.043071.879
DGKBrs979499rs15250940.93T0.2580.028812.312
DGKBrs4632953rs15250940.88T0.2580.028812.312
SLC26A4rs2248465rs27016840.77G0.3910.033712.009
SLC26A4rs2701685rs27016840.73G0.3910.033712.009
CENTG3rs6951528rs117668550.53T0.2340.041752.219
SVEP1rs7038903rs7038903N/AC0.0650.030160.310
SVEP1rs7852962rs70389031.00C0.0650.030160.310
SVEP1rs7863519rs70389030.59C0.0650.030160.310
EDG2rs3739709rs3739709N/AA0.1880.033592.538
DFNB31rs1001506rs22741600.61T0.1090.033170.392
DFNB31rs4979387rs22741600.80T0.1090.033170.392
PAPPArs10435873rs10435873N/AG0.2500.039510.500
PAPPArs1323438rs70334870.60C0.1090.002030.270
PAPPArs7020782rs70334870.58C0.1090.002030.270
ASTN2rs1372332rs1372332N/AC0.3398.99E-050.287
NEK6rs2416rs48381570.52T0.6130.0059372.360
NEK6rs2065221rs48381570.69T0.6130.0059372.360
NEK6rs2274780rs48381570.51T0.6130.0059372.360
NEK6rs10760348rs48381570.90T0.6130.0059372.360
NEK6rs944333rs944333N/AA0.0160.018770.124
SGMS1rs2251601rs2251601N/AC0.3910.0056562.493
PRKG1rs1937672rs108237980.52T0.3910.03781.963
PRKG1rs2339953rs108242461.00G0.0310.040840.234
PCDH15rs10825113rs110038330.64T0.1720.023740.430
PCDH15rs4519000rs18916170.78C0.2810.044552.068
PCDH15rs10825169rs108251500.77C0.3280.017850.474
PCDH15rs2921922rs108251500.90C0.3280.017850.474
PCDH15rs1900438rs108251500.77C0.3280.017850.474
PCDH15rs10825150rs10825150N/AC0.3280.017850.474
PCDH15rs17644321rs122574940.87C0.1720.026270.435
PCDH15rs11004028rs122574941.00C0.1720.026270.435
CTNNA3rs2924307rs17869210.57G0.4220.036021.946
CTNNA3rs2105702rs2105702N/AC0.2260.043720.494
CTNNA3, LRRTM3rs1925610rs107338331.00C0.3130.022230.483
CTNNA3, LRRTM3rs10733833rs10733833N/AC0.3130.022230.483

[0000]

Alleles Affecting Negative Side Effects for Risperidone
Test SNP
Gene Table B in linkageFrequency in
NameSNP discquilibriumr2AllelediscontinuersPOR
KCNS3rs4832524rs4832524N/AA0.1670.033340.313
KCNS3rs6713395rs48325241.00A0.1670.033340.313
HS1BP3rs10166174 rs116800860.74A0.0830.031120.222
ZNF659rs1978516rs1978516N/AC0.1670.015430.271
IHPK2rs4858798rs4858798N/AG0.5460.02492.723
IHPK2rs4858828rs48588311.00C0.5420.023352.654
IHPK2rs4858831rs4858831N/AC0.5420.023352.654
ROBO1rs716386rs28720060.55C0.7000.005401 3.865
ROBO1rs1027833rs28720060.81C0.7000.005401 3.865
ROBO1rs3773202rs28720060.80C0.7000.005401 3.865
IFT57rs1289750rs12897441.00C0.3330.034582.685
IFT57rs1289754rs12897441.00C0.3330.034582.685
CRMP1rs2286282rs2286282N/AC0.1250.019130.247
CRMP1rs13130069 rs174445460.90G0.6670.016322.914
JAKMIP1rs12646356 rs46893330.61A0.7080.019272.927
SNCArs3775433rs8942780.90G0.1250.026084.771
SNCArs10033209rs8942780.83G0.1250.026084.771
GRID2rs1905717rs45572321.00G0.0420.044060.159
UNC5Crs1351999rs1351999N/AT0.5000.013122.909
NLNrs2248213rs8953790.57A0.2500.042160.376
NLNrs2254485rs8953790.68A0.2500.042160.376
IQGAP2rs10077289 rs9615360.55A0.6250.032082.562
IQGAP2rs462307rs6644940.87C0.5830.046142.378
IQGAP2rs2431363rs6644940.63C0.5830.046142.378
RHAGrs2518100rs104852900.68T0.4170.048112.399
CALN1rs10255136rs102604200.85C0.2920.022883.047
CALN1rs1232514rs126991250.96G0.5830.022542.681
TSNARE1rs4325020rs65836070.51C0.6250.042562.440
TSNARE1rs11167136 rs65836071.00C0.6250.042562.440
TSNARE1rs12547214 rs65836070.75C0.6250.042562.440
SVEP1rs872665rs872665N/AT0.4580.009442 3.087
EDG2rs13094rs4964750.93G0.0450.001678 0.076
EDG2rs491855rs4964751.00G0.0450.001678 0.076
EDG2rs498328rs498328N/AG0.0830.003778 0.146
EDG2rs12555560 rs20257660.67T0.4580.000245 4.936
ASTN2rs7518rs109832600.62T0.0830.043820.241
SGMS1rs6481183rs6481183N/AC0.0000.002899 0.000
SGMS1rs2251601rs2251601N/AC0.0420.008072 0.103
PRKG1rs7083967rs18757920.96A0.1670.022910.291
PRKG1rs11001472rs18757921.00A0.1670.022910.291
CTNNA3,rs2147886rs107621350.56G0.4090.030132.710
LRRTM3
CTNNA3,rs2894028rs107621350.54G0.4090.030132.710
LRRTM3
CTNNA3,rs10822960 rs107621350.70G0.4090.030132.710
LRRTM3

Example 4

Novel Markers Associated with Quetiapine Response

[0309]

To assess drug response, the last observation for each patient in treatment Phase 1 of the CATIE trial was used as a primary assessment of efficacy. The standard FDA registration trial definition of response of ≧20% decrease in Positive and Negative Syndrome Scale (PANSS Total Score) was used to assign subjects to a response category. Individuals having composite ordinal effectiveness outcome (COMPEFF) scores of 1 of 2, indicating efficacy, were combined as were those with scores of 3 or 4, indicating lack of efficacy (Davis et al., Schizophr. Bull. 29:73-80 (2003)). The side effects category consisted of individuals discontinued for safety concerns (COMPEFF score 5).

[0310]

Genetic analysis to document the influence of haplotypes on quetiapine response was performed using as described in Example 2 with the PLINK 1.03 whole genome analysis toolset developed by Purcell and coworkers (Purcell et al., Am. J. Hum. Genet. 81:559-575 (2007)). PLINK calculates P values for the allele-specific chi-squared test and the odds ratio (OR; or relative risk) associated with the minor allele.

[0311]

Confirmation of SNP Effects on Quetiapine Response and Side Effects:

[0312]

Tables 6 and 7 report the minor allele frequencies, P values, and ORs for SNPs, in Tables B and C that affect quetiapine response and side effect rates, respectively. Note in Tables 6 and 7 that haplotype blocks result in the same Test SNP being in linkage disequilibrium with multiple SNPs in Table B. Similarly, haplotype blocks result in multiple Test SNPs that can be used for each SNP listed in Table B, though such redundant examples are not presented in Tables 6 and 7.

[0313]

Tables 6 and 7, provide numerous examples of SNP-based alleles that predict altered response to quetiapine. For Table 6, ORs of >1.0 indicate that the minor SNP allele is associated with greater clinical improvement, and ORs of <1.0 indicate that the minor SNP allele is associated with lesser clinical improvement. For Table 7 ORs of >1.0 indicate that the minor SNP allele is associated with an increase in study ending side effects, and ORs of <1.0 indicate that the minor SNP allele is associated a decrease in study ending side effects.

[0000]

Alleles Affecting Positive Response to Quetiapine
Test SNP in
linkageFrequency in
Gene NameTable B SNPdisequilibriumr2AllelerespondersPOR
ATP6V1C2rs1734436rs17343400.75G0.280.041030.486
NAGrs3805095rs46688930.81C0.540.049251.954
NAGrs4668892rs46688931.00C0.540.049251.954
NAGrs6736116rs46688930.54C0.540.049251.954
NAGrs7584861rs46688930.87C0.540.049251.954
NAGrs16862653rs16862653N/AT0.000.027840.000
KCNJ13rs1801251rs1801251N/AA0.180.032940.426
TRPM8rs1965629rs67111200.82A0.300.022442.377
TRPM8rs6711120rs6711120N/AA0.300.022442.377
TRPM8rs10803666rs67111200.54A0.300.022442.377
TRPM8rs2215173rs104900140.88G0.260.016772.625
TRPM8rs6431648rs104900140.53G0.260.016772.625
TRPM8rs10189040rs104900140.53G0.260.016772.625
ZNF659rs975302rs170090670.69A0.180.0033560.316
ZNF659rs2054942rs2054942N/AA0.300.014290.429
BSNrs1060962rs20055571.00G0.340.0029170.366
BSNrs2005557rs2005557N/AG0.340.0029170.366
ROBO1rs3773190rs119254520.51T0.060.045540.299
ROBO1rs11925452rs11925452N/AT0.060.045540.299
ROBO1rs6795556rs173754960.54T0.100.040170.362
ROBO1rs2271151rs38216030.77T0.100.038550.360
ROBO1rs6788511rs38216030.67T0.100.038550.360
ROBO1rs10049102rs38216030.63T0.100.038550.360
PPP2R2Crs2269920rs2269920N/AC0.220.044160.467
CENTD1rs1878825rs48331170.83A0.200.016070.396
CENTD1rs10517369rs48331171.00A0.200.016070.396
CENTD1rs12651329rs48331170.61A0.200.016070.396
CENTD1rs16991904rs48331170.71A0.200.016070.396
CENTD1rs7659075rs48331250.84C0.320.027890.471
NMUrs13132085rs13132085N/AA0.180.049060.453
GPM6Ars3733398rs3733398N/AA0.040.029490.219
CTNND2rs249264rs261521.00G0.360.017180.450
CTNND2rs1458472rs45714700.52T0.220.045440.470
SCAMP1rs1046819rs68608421.00T0.420.0094882.436
SCAMP1rs4530741rs68608420.92T0.420.0094882.436
SCAMP1rs16875377rs68608421.00T0.420.0094882.436
CPLX2rs1366116rs77188560.57C0.360.026860.476
CPLX2rs12522368rs77188560.57C0.360.026860.476
CPLX2rs13166213rs77188560.64C0.360.026860.476
DGKBrs2357958rs1967510.51T0.280.0042090.368
DGKBrs3823843rs1967510.93T0.280.0042090.368
DGKBrs4721345rs1967510.69T0.280.0042090.368
CALN1rs10255136rs126665781.00A0.060.016170.243
NRCAMrs9942691rs109535690.55A0.240.020950.430
NRCAMrs13236767rs109535690.58A0.240.020950.430
NRCAMrs2300053rs23000370.51C0.480.0047532.575
NRCAMrs726471rs37634621.00A0.500.026572.087
DPP6rs10264427rs77953250.64A0.080.016560.281
GPR20rs7839244rs65781670.89C0.200.033132.625
SVEP1rs7038903rs7038903N/AC0.270.049452.176
SVEP1rs7852962rs70389031.00C0.270.049452.176
SVEP1rs7863519rs70389030.59C0.270.049452.176
ASTN2rs2900131rs78566250.62C0.240.016850.418
PRKG1rs2339628rs23396780.68T0.500.022582.156
PRKG1rs12355844rs23396781.00T0.500.022582.156
PRKG1rs10995555rs79185670.87T0.200.015363.023
PCDH15rs11004439rs23845200.92T0.460.029812.069
CTNNA3rs2147886rs38025490.52T0.230.013930.396
CTNNA3rs2894028rs38025490.54T0.230.013930.396
CTNNA3rs10822976rs38025490.73T0.230.013930.396
CTNNA3rs1925570rs115943910.61C0.190.009010.354
CTNNA3rs4746659rs115943910.70C0.190.009010.354
CTNNA3rs12265366rs108230850.53A0.520.0007093.143
SLIT1rs2817693rs14906910.96C0.140.0002180.215
ZFYVE27rs3818876rs107487071.00A0.220.037310.456
ZFYVE27rs4917784rs107487071.00A0.220.037310.456
ZFYVE27rs10786368rs107487070.93A0.220.037310.456
PRKG1rs12355844rs12355844N/AT0.480.033042.031
CTNNA3rs12265366rs12265366N/AC0.280.0044323.111
PIK3AP1rs563654rs563654N/AT0.180.0007086.015
ZFYVE27rs10786368rs10786368N/AC0.220.039430.460

[0000]

Alleles Affecting Negative Side Effects for Quetiapine
Test SNP in
linkageFrequency in
Gene NameTable B SNPdisequilibriumr2AllelediscontinuersPOR
INPP1rs4656rs37918150.67A0.430.0008463.311
INPP1rs2016037rs37918150.95A0.430.0008463.311
INPP1rs10931450rs37918151.00A0.430.0008463.311
NAB1rs1468684rs45991500.86A0.340.034052.217
TRPM8rs2052029rs67217610.93T0.520.010112.429
SLC6A11rs2304725rs16094800.51T0.250.0083640.371
SLC6A11rs4684739rs16094800.57T0.250.0083640.371
ENTPD3rs1047855rs49738981.00A0.200.034160.426
ENTPD3rs2305522rs49738981.00A0.200.034160.426
ENTPD3rs7648952rs49738981.00A0.200.034160.426
ENTPD3rs9817233rs49738981.00A0.200.034160.426
ENTPD3rs9841335rs49738981.00A0.200.034160.426
ROBO1rs716386rs46810060.64G0.300.042250.465
ROBO1rs1027833rs46810060.56G0.300.042250.465
ROBO1rs3773202rs46810060.73G0.300.042250.465
CRMP1rs3755851rs97905940.62A0.300.032982.316
STIM2rs12642922rs117372180.62T0.410.0026962.967
STIM2rs725981rs96541100.78G0.520.047541.980
STIM2rs6822297rs96541100.78G0.520.047541.980
CENTD1rs2271810rs76708680.67G0.570.022.245
CENTD1rs1878825rs48331170.83A0.500.0099432.442
CENTD1rs10517369rs48331171.00A0.500.0099432.442
CENTD1rs12651329rs48331170.61A0.500.0099432.442
CENTD1rs16991904rs48331170.71A0.500.0099432.442
CENTD1rs7659075rs48331250.84C0.600.036332.087
GRID2rs3796675rs76976161.00G0.200.0068173.600
GRID2rs1385405rs100292331.00T0.520.022592.190
GRID2rs11097378rs119323671.00A0.180.018560.376
GPM6Ars3733398rs76781460.74C0.270.039362.304
CTNND2rs6875838rs14234940.83C0.180.0007260.254
CTNND2rs249264rs261521.00G0.660.02022.270
CTNND2rs2530910rs2530910N/AT0.160.0094210.327
CTNND2rs2727591rs68739010.61G0.300.0069180.377
IOGAP2rs1393098rs47043270.74G0.230.038932.463
SCAMP1rs3922654rs11599291.00G0.300.044322.202
SCAMP1rs10942856rs11599290.67G0.300.044322.202
KCNIP1rs6555913rs503640.64A0.300.030050.454
KCNIP1rs6879997rs10553810.60T0.430.044852.058
CPLX2rs1366116rs77188560.57C0.640.032742.110
CPLX2rs12522368rs77188560.57C0.640.032742.110
CPLX2rs4077871rs131662130.65G0.320.040160.479
CPLX2rs10866692rs131662130.58G0.320.040160.479
CPLX2rs13166213rs13166213N/AG0.320.040160.479
DGKBrs2357958rs1967510.51T0.590.037482.050
DGKBrs3823843rs126996290.55T0.520.0057922.656
DGKBrs4721345rs126996290.73T0.520.0057922.656
DGKBrs1525088rs171682990.80G0.450.022822.215
DGKBrs12670550rs171682990.70G0.450.022822.215
DGKBrs979499rs69670010.78C0.330.0035753.150
DGKBrs4632953rs69670010.64C0.330.0035753.150
CALN1rs735368rs126990870.56G0.180.020613.111
CALN1rs749585rs126990870.56G0.180.020613.111
SLC26A4rs2248465rs20578370.61G0.430.012362.464
SLC26A4rs2701685rs20578370.65G0.430.012362.464
NRCAMrs11983886rs121117760.63A0.050.041090.238
NRCAMrs2300053rs23000370.51C0.180.025830.395
CENTG3rs6951528rs6951528N/AC0.380.030122.231
ASTN2rs2900131rs48376590.57C0.180.0076490.333
NEK6rs944333rs944333N/AA0.110.034153.718
SGMS1rs978588rs108261000.56T0.600.013712.427
SGMS1rs2092996rs108261000.52T0.600.013712.427
SGMS1rs2842103rs15699620.62A0.300.030050.454
PRKG1rs3740292rs70856970.62A0.340.024760.453
PRKG1rs10997677rs70990121.00A0.570.046561.985
PCDH15rs10825269rs10825269N/AG0.200.044792.498
PCDH15rs2153822rs13422870.95T0.270.015372.708
CTNNA3rs7074696rs79206240.57A0.340.0440.490
CTNNA3rs10762170rs105092901.00T0.240.03982.445
CTNNA3rs12265366rs31253120.58A0.50.0025692.846
PIK3AP1rs563654rs563654N/AT0.000.03410.000

Example 5

Novel Markers Associated with Perphenazine Response

[0314]

To assess drug response, the last observation for each patient in treatment Phase 1 of the CATIE trial was used as a primary assessment of efficacy. The standard FDA registration trial definition of response of ≧20% decrease in Positive and Negative Syndrome Scale (PANSS Total Score) was used to assign subjects to a response category. Individuals having composite ordinal effectiveness outcome (COMPEFF) scores of 1 of 2, indicating efficacy, were combined as were those with scores of 3 or 4, indicating lack of efficacy (Davis et al., Schizophr. Bull. 29:73-80 (2003)). The side effects category consisted of individuals discontinued for safety concerns (COMPEFF score 5).

[0315]

Genetic analysis to document the influence of haplotypes on perphenazine response was performed using as described in Example 2 with the PLINK 1.03 whole genome analysis toolset developed by Purcell and coworkers (Purcell et al., Am. J. Hum. Genet. 81:559-575 (2007)). PLINK calculates P values for the allele-specific chi-squared test and the odds ratio (OR; or relative risk) associated with the minor allele.

[0316]

Confirmation of SNP Effects on Perphenazine Response and Side Effects:

[0317]

Tables 8 and 9 report the minor allele frequencies, P values, and ORs for SNPs, in Tables B and C that affect perphenazine response and side effect rates, respectively. Note in Tables 8 and 9 that haplotype blocks result in the same Test SNP being in linkage disequilibrium with multiple SNPs in Table B. Similarly, haplotype blocks result in multiple Test SNPs that can be used for each SNP listed in Table B, though such redundant examples are not presented in Tables 8 and 9.

[0318]

Tables 8 and 9, provide numerous examples of SNP-based alleles that predict altered response to perphenazine. For Table 8, ORs of >1.0 indicate that the minor SNP allele is associated with greater clinical improvement, and ORs of <1.0 indicate that the minor SNP allele is associated with lesser clinical improvement. For Table 9 ORs of >1.0 indicate that the minor SNP allele is associated with an increase in study ending side effects, and ORs of <1.0 indicate that the minor SNP allele is associated a decrease in study ending side effects.

[0000]

Alleles Affecting Positive Response to Perphenazine
Test SNP in
linkageFrequency in
Gene NameTable B SNPdisequilibriumr2AllelerespondersPOR
NAGrs2302941rs109293500.55C0.2660.0070820.394
NAGrs3805095rs109293500.57C0.2660.0070820.394
NAGrs4668892rs109293500.53C0.2660.0070820.394
NAGrs6736116rs109293500.97C0.2660.0070820.394
NAGrs7584861rs109293500.63C0.2660.0070820.394
HECW2rs1531111rs134208110.94C0.2970.017942.566
HECW2rs1406218rs67101730.72G0.4220.027942.128
HECW2rs10180365rs67101730.72G0.4220.027942.128
NMUR1rs10933376rs10933376N/AA0.2340.004373.805
TRPM8rs2052029rs75605620.64C0.1720.0027660.314
BSNrs1352889rs42414070.54G0.3440.019742.373
EPHA3rs9835094rs98686860.93C0.5160.03951.968
EPHA3rs13074291rs130972121.00A0.2190.0001998.493
EPHA3rs7646842rs130977400.60A0.2420.0068573.431
CRMP1rs984576rs984576N/AG0.2970.046590.505
CRMP1rs13130069rs174445460.90G0.4690.03460.500
PPP2R2Crs4374690rs102134100.63C0.1880.01260.389
GPRIN3rs754750rs124984050.96T0.2810.0088990.408
GPRIN3rs919615rs124984050.96T0.2810.0088990.408
GPRIN3rs1036111rs124984051.00T0.2810.0088990.408
GPRIN3rs1346946rs124984050.52T0.2810.0088990.408
GRID2rs10004009rs20899900.70C0.1090.033270.379
GRID2rs6851143rs19930300.60T0.3590.018122.369
UNC5Crs2276322rs37750450.71T0.0670.0030760.208
UNC5Crs3733212rs37750450.71T0.0670.0030760.208
UNC5Crs4699415rs37750450.56T0.0670.0030760.208
UNC5Crs4699836rs37750450.62T0.0670.0030760.208
UNC5Crs12642020rs37750450.68T0.0670.0030760.208
PPP3CArs2251238rs28510600.95C0.1880.048530.469
PPP3CArs2851060rs2851060N/AC0.1880.048530.469
TACR3rs3822290rs50056341.00C0.4530.032362.056
TACR3rs7657032rs50056340.89C0.4530.032362.056
CTNND2rs2905990rs2905990N/AT0.1880.048530.469
CTNND2rs1458472rs47028400.91G0.2260.039540.470
CTNND2rs2168879rs47028400.64G0.2260.039540.470
NLNrs6860508rs6860508N/AT0.0000.039330.000
IQGAP2rs6453217rs100722210.87C0.3550.0008450.326
PDE8Brs3214046rs23598750.71G0.1250.0014620.264
PDE8Brs3733952rs23598750.71G0.1250.0014620.264
KCNIP1rs906362rs9063581.00T0.2340.030462.571
KCNIP1rs4242157rs68921930.58C0.3670.033030.488
STK10rs13157965rs13157965N/AC0.2340.036510.472
CPLX2rs1366116rs131662130.78G0.3130.0093920.417
CPLX2rs12522368rs131662130.78G0.3130.0093920.417
CPLX2rs13166213rs13166213N/AG0.3130.0093920.417
DGKBrs1997040rs14046160.78C0.3550.0070620.405
DGKBrs2293339rs14046160.93C0.3550.0070620.405
DGKBrs9639213rs14046160.78C0.3550.0070620.405
DGKBrs979499rs50146910.55A0.4060.0031132.889
DGKBrs4632953rs50146910.66A0.4060.0031132.889
TSPAN13rs2290837rs38074930.85C0.2830.041850.490
TSPAN13rs3807509rs38074930.77C0.2830.041850.490
TSPAN13rs6461275rs38074930.57C0.2830.041850.490
TSPAN13rs7808455rs38074930.85C0.2830.041850.490
PIK3CGrs849412rs849412N/AT0.0630.031460.302
SLC26A4rs2248465rs27016840.77G0.1130.003040.272
SLC26A4rs2701685rs27016840.73G0.1130.003040.272
DPP6rs2293353rs65974340.96A0.3590.011570.434
DPP6rs17515800rs65974340.58A0.3590.011570.434
PTP4A3rs7463766rs7463766N/AA0.2500.048390.496
PTP4A3rs9987318rs74637660.69A0.2500.048390.496
PTP4A3rs12541005rs74637660.69A0.2500.048390.496
MUSKrs7047593rs7047593N/AC0.5160.03951.968
PAPPArs10817881rs108178820.60C0.2030.044490.471
ASTN2rs1507909rs1507909N/AA0.1250.0050620.305
ASTN2rs2302827rs15079090.53A0.1250.0050620.305
ASTN2rs4837498rs15079090.67A0.1250.0050620.305
NEK6rs2416rs48381570.52T0.5000.041211.968
NEK6rs2065221rs48381570.69T0.5000.041211.968
NEK6rs2274780rs48381570.51T0.5000.041211.968
NEK6rs10760348rs48381570.90T0.5000.041211.968
NEK6rs944333rs944333N/AA0.0000.025540.000
PRKG1rs10997677rs70990121.00T0.2740.0051890.378
PCDH15rs2135720rs108251840.86T0.2810.015672.674
CTNNA3rs9651326rs109975820.79A0.1720.035482.975

[0000]

Alleles Affecting Negative Side Effects for Perphenazine
Test SNP in
linkageFrequency in
Gene NameTable B SNPdisequilibriumr2AllelediscontinuersPOR
TMEFF2rs2356757rs104977250.69C0.1820.026440.292
TMEFF2rs2356945rs23569420.66C0.2920.04380.388
NAB1rs1468684rs101850290.83C0.3750.0085153.420
VSNL1rs1615739rs14265100.83A0.4580.015822.933
IFT57rs326335rs19205391.00G0.1250.039274.571
IFT57rs428321rs19205390.76G0.1250.039274.571
IFT57rs1289766rs19205391.00G0.1250.039274.571
IFT57rs16854283rs19205391.00G0.1250.039274.571
CBLBrs13060223rs76461590.51G0.1250.028540.264
CBLBrs1042852rs14431080.92T0.0420.011360.110
GADL1rs13316876rs65500241.00G0.1670.012815.080
ZNF659rs4298061rs20549450.61C0.1670.027960.298
ZNF659rs2054942rs23358130.61A0.1670.042760.326
ZNF659rs376703rs376703N/AT0.0830.037740.230
GRIP2rs2090700rs46842320.81T0.2500.028010.343
GRIP2rs2139506rs46842321.00T0.2500.028010.343
GRIP2rs7620516rs46842321.00T0.2500.028010.343
GRIP2rs11128704rs46842320.71T0.2500.028010.343
TACR3rs3822290rs50056341.00C0.1670.036790.315
TACR3rs7657032rs50056340.89C0.1670.036790.315
PPP3CArs6532920rs27325060.71C0.1250.0024730.171
CENTD1rs13139479rs65314110.54C0.2500.048322.857
CENTD1rs13151864rs65314110.51C0.2500.048322.857
PPP2R2Crs16838658rs16838658N/AG0.2500.036823.051
PPP2R2Crs4374690rs102134100.63C0.5000.018432.829
PPP2R2Crs3796403rs37963980.70C0.2500.023830.333
PPP2R2Crs6446489rs6446489N/AC0.5830.043512.458
KCNIP1rs4242157rs68921930.58C0.6670.039672.561
PDE8Brs2972336rs2972336N/AC0.0420.021230.128
IQGAP2rs7722711rs7722711N/AC0.2080.0037395.614
IQGAP2rs6453217rs100773720.87A0.7080.04382.578
NLNrs2250861rs25611930.61T0.5420.028622.623
NLNrs2254485rs25611931.00T0.5420.028622.623
CTNND2rs2158444rs68734900.66G0.2500.045230.376
DPP6rs3807218rs3807218N/AA0.3330.0042144.071
SLC26A4rs2248465rs27016840.77G0.5000.0009994.280
SLC26A4rs2701685rs27016840.73G0.5000.0009994.280
CALN1rs10255136rs4790350.61A0.3330.011983.382
TSPAN13rs2290837rs125309230.85G0.6250.0090373.188
TSPAN13rs3807509rs125309230.85G0.6250.0090373.188
TSPAN13rs6461275rs125309230.67G0.6250.0090373.188
TSPAN13rs7808455rs125309230.85G0.6250.0090373.188
DGKBrs1997040rs14046160.78C0.7730.003784.338
DGKBrs2293339rs14046160.93C0.7730.003784.338
DGKBrs9639213rs14046160.78C0.7730.003784.338
KCNK9rs759656rs8857250.68G0.0830.03420.224
KCNK9rs885725rs885725N/AG0.0830.03420.224
ASTN2rs11790014rs108179180.85C0.1670.048633.514
SLIT1rs2817693rs28176470.75G0.1670.031550.306
SLIT1rs2817662rs27849130.64C0.3640.0074783.683

Example 6

Novel Markers Associated with Ziprasidone Response

[0319]

To assess drug response, the last observation for each patient in treatment Phase 1 of the CATIE trial was used as a primary assessment of efficacy. The standard FDA registration trial definition of response of ≧20% decrease in Positive and Negative Syndrome Scale (PANSS Total Score) was used to assign subjects to a response category. Individuals having composite ordinal effectiveness outcome (COMPEFF) scores of 1 of 2, indicating efficacy, were combined as were those with scores of 3 or 4, indicating lack of efficacy (Davis et al., Schizophr. Bull. 29:73-80 (2003)). The side effects category consisted of individuals discontinued for safety concerns (COMPEFF score 5).

[0320]

Genetic analysis to document the influence of haplotypes on ziprasidone response was performed using as described in Example 2 with the PLINK 1.03 whole genome analysis toolset developed by Purcell and coworkers (Purcell et al., Am. J. Hum. Genet. 81:559-575 (2007)). PLINK calculates P values for the allele-specific chi-squared test and the odds ratio (OR; or relative risk) associated with the minor allele.

[0321]

Confirmation of SNP Effects on Ziprasidone Response and Side Effects:

[0322]

Tables 10 and 11 report the minor allele frequencies, P values, and ORs for SNPs, in Tables B and C that affect ziprasidone response and side effect rates, respectively. Note in Tables 10 and 11 that haplotype blocks result in the same Test SNP being in linkage disequilibrium with multiple SNPs in Table B. Similarly, haplotype blocks result in multiple Test SNPs that can be used for each SNP listed in Table B, though such redundant examples are not presented in Tables 10 and 11.

[0323]

Tables 10 and 11, provide numerous examples of SNP-based alleles that predict altered response to ziprasidone. For Table 10, ORs of >1.0 indicate that the minor SNP allele is associated with greater clinical improvement, and ORs of <1.0 indicate that the minor SNP allele is associated with lesser clinical improvement. For Table 11 ORs of >1.0 indicate that the minor SNP allele is associated with an increase in study ending side effects, and ORs of <1.0 indicate that the minor SNP allele is associated a decrease in study ending side effects.

[0000]

Alleles Affecting Positive Response to Ziprasidone
Test SNP in
linkageFrequency in
Gene NameTable B SNPdisequilibriumr2AllelerespondersPOR
HS1BP3rs4666449rs37960640.67A0.1470.011450.265
HS1BP3rs10166174rs10166174N/AA0.5290.0012734.179
MYO1Brs4853561rs48535750.57C0.6180.033732.485
MYO1Brs4853581rs48535751.00C0.6180.033732.485
CENTG2rs7559293rs23164360.53G0.1770.01910.310
ZNF659rs4858014rs4858014N/AC0.2650.023930.360
GADL1rs1159653rs98095830.64C0.3130.0028695.364
ENTPD3rs1047855rs76489521.00C0.1560.034930.324
ENTPD3rs2305522rs76489521.00C0.1560.034930.324
ENTPD3rs7648952rs7648952N/AC0.1560.034930.324
ENTPD3rs9817233rs76489521.00C0.1560.034930.324
ENTPD3rs9841335rs76489521.00C0.1560.034930.324
ROBO1rs7626143rs15074171.00G0.0880.015610.223
ROBO1rs716386rs46810060.64G0.4410.017720.359
ROBO1rs1027833rs46810060.56G0.4410.017720.359
ROBO1rs3773202rs46810060.73G0.4410.017720.359
PCNPrs1476123rs38047750.62T0.1180.039760.307
PCNPrs3804775rs3804775N/AT0.1180.039760.307
JAKMIP1rs6446469rs23585760.82T0.3530.001615.273
JAKMIP1rs9993666rs23585760.54T0.3530.001615.273
PPP2R2Crs4374690rs102134100.63C0.2350.045230.393
UNC5Crs10011755rs105169710.82G0.5000.0242.667
GPM6Ars2581754rs23332610.86A0.5880.046122.343
CTNND2rs6875838rs14234940.83C0.4710.031882.562
IQGAP2rs10942768rs77069260.58G0.2650.0075120.300
IQGAP2rs6453217rs100773720.87A0.2650.0075120.300
PDE8Brs11953611rs11953611N/AC0.3750.037032.700
HMP19rs3811980rs44571000.95G0.3530.0028724.597
HMP19rs4457100rs4457100N/AG0.3530.0028724.597
DGKBrs979499rs78088990.83G0.3240.014573.467
DGKBrs4632953rs78088991.00G0.3240.014573.467
CALN1rs573092rs96386550.69A0.6180.032072.520
CALN1rs1232515rs96386550.69A0.6180.032072.520
SLC26A4rs6970857rs23959111.00G0.0880.022430.239
DPP6rs4960617rs4960617N/AG0.1470.00978510.860
DPP6rs2316533rs14649120.54C0.6880.030242.640
HTR5Ars6320rs6320N/AA0.4120.013023.150
GPR20rs7839244rs78289830.56A0.2940.0086464.167
SVEP1rs10817025rs70446690.86C0.4710.031882.562
EDG2rs2031665rs70424620.96A0.5290.027152.587
KIAA0368rs2297524rs64778211.00C0.4410.027022.684
KIAA0368rs7030830rs64778211.00C0.4410.027022.684
KIAA0368rs9299198rs64778210.92C0.4410.027022.684
KIAA0368rs16916091rs16916091N/AC0.0590.04655>10
DFNB31rs1408524rs109822390.54C0.1470.030185.517
PAPPArs1323438rs70334870.60C0.0590.033640.213
PAPPArs7020782rs70334870.58C0.0590.033640.213
ASTN2rs10983437rs38491440.57C0.4120.013023.150
NEK6rs748741rs748741N/AG0.2650.033980.383
PRKG1rs10995555rs79188980.87A0.1770.012456.643
CTNNA3rs1925570rs23943390.69T0.3820.0024440.269
CTNNA3rs2147886rs23943390.73T0.3820.0024440.269
CTNNA3rs2894028rs23943390.74T0.3820.0024440.269
CTNNA3rs4746659rs23943390.73T0.3820.0024440.269
CTNNA3rs10822960rs23943390.62T0.3820.0024440.269
CTNNA3rs10822976rs23943391.00T0.3820.0024440.269
ZFYVE27rs3818876rs107487071.00A0.6180.015582.827
ZFYVE27rs4917784rs107487071.00A0.6180.015582.827
ZFYVE27rs10786368rs107487070.93A0.6180.015582.827
ZFYVE27rs10786368rs10786368N/AC0.6180.015582.827

[0000]

Alleles Affecting Negative Side Effects for Ziprasidone
Test SNP in
linkageFrequency in
Gene NameTable B SNPdisequilibriumr2AllelediscontinuersPOR
NAGrs2302941rs101835880.53C0.2080.037890.327
NAGrs3805095rs101835880.62C0.2080.037890.327
NAGrs4668892rs101835880.59C0.2080.037890.327
NAGrs6736116rs101835880.90C0.2080.037890.327
NAGrs7584861rs101835880.64C0.2080.037890.327
SLC4A10rs1449629rs168461810.67C0.2080.042433.737
SLC4A10rs13006199rs168461810.67C0.2080.042433.737
TMEFF2rs3768703rs23569530.60C0.6250.011753.333
HECW2rs7355529rs15283980.66C0.0420.015550.114
HECW2rs7577213rs134197920.57G0.0000.023370.000
NGEFrs2289914rs22927240.95G0.0000.01320.000
CENTG2rs3754659rs74204150.53A0.2920.044680.370
ROBO1rs983513rs76314060.68T0.2000.044140.309
ROBO1rs7432676rs98762380.58T0.6670.026812.903
STIM2rs12642922rs126440730.62T0.4170.036662.810
STIM2rs725981rs96541100.78G0.6250.0098543.400
STIM2rs6822297rs96541100.78G0.6250.0098543.400
CENTD1rs1878825rs76708680.69G0.2080.012110.263
CENTD1rs2271810rs76708680.67G0.2080.012110.263
CENTD1rs10517369rs76708680.61G0.2080.012110.263
CENTD1rs12651329rs76708681.00G0.2080.012110.263
CENTD1rs16991904rs76708680.87G0.2080.012110.263
CENTD1rs12651095rs131424160.51T0.6250.046032.586
GRID2rs9998217rs10366400.63T0.2270.041270.329
GRID2rs12505322rs10366400.63T0.2270.041270.329
PPP3CArs2850359rs38044060.95G0.0830.044060.229
KCNIP1_KCNMB1rs314155rs7035040.56C0.5830.025922.856
DGKBrs3823843rs102366530.87G0.6250.019593.025
DGKBrs4721345rs126996450.53C0.6670.014393.241
SLC26A4rs3823957rs38019400.57C0.5420.033432.723
SLC26A4rs11769313rs38019400.57C0.5420.033432.723
NRCAMrs2072546rs2072546N/AA0.2080.042433.737
NRCAMrs9942691rs102269350.51T0.4170.030542.905
NRCAMrs13236767rs102269350.53T0.4170.030542.905
DPP6rs2316533rs14649120.54C0.3330.025840.341
MUSKrs7047593rs78568890.86C0.1360.014120.217
MUSKrs4574919rs41444180.81C0.5420.033432.723
EDG2rs2031665rs70424620.96A0.1670.013520.247
DFNB31rs731421rs22741581.00T0.0450.040930.148
DFNB31rs2274158rs2274158N/AT0.0450.040930.148
DFNB31rs4978584rs22741580.84T0.0450.040930.148
DFNB31rs10739412rs22741580.79T0.0450.040930.148
DFNB31rs10759694rs22741581.00T0.0450.040930.148
DFNB31rs2274159rs2274159N/AG0.2500.017890.300
DFNB31rs12339210rs12339210N/AC0.0000.037970.000
DFNB31rs942519rs107596970.81A0.2500.017890.300
PAPPArs2273977rs2273977N/AA0.5500.0066513.938
PRKG1rs1937655rs45689540.58A0.1820.019390.261
PCDH15rs10825113rs110038890.57C0.4170.044742.679
PCDH15rs1900438rs108251570.70T0.5910.0054353.900
PCDH15rs2921922rs108251570.66T0.5910.0054353.900
PCDH15rs10825150rs108251570.67T0.5910.0054353.900
PCDH15rs10825169rs108251570.70T0.5910.0054353.900
PCDH15rs11004028rs26108730.95A0.4170.015493.352
PCDH15rs17644321rs26108730.83A0.4170.015493.352
CTNNA3rs1911490rs43046520.62A0.4580.0040684.101
CTNNA3rs7903280rs43046520.67A0.4580.0040684.101
CTNNA3rs9651326rs9651326N/AT0.3750.041992.815
CTNNA3rs10762168rs107621580.61C0.3750.0003997.000
CTNNA3rs10762170rs107621580.52C0.3750.0003997.000
PIK3AP1rs3748236rs127849750.76C0.2920.025783.500
PIK3AP1rs11188844rs127849750.66C0.2920.025783.500
PIK3AP1rs12784975rs12784975N/AC0.2920.025783.500
SLIT1rs2817667rs28176660.62A0.1670.0019720.180
SLIT1rs2817662rs27849130.64C0.3330.024913.300

Example 7

Novel Markers Associated with Overall Response

[0324]

To assess drug response, the last observation for each patient in treatment Phase 1 of the CATIE trial was used as a primary assessment of efficacy. The standard FDA registration trial definition of response of ≧20% decrease in Positive and Negative Syndrome Scale (PANSS Total Score) was used to assign subjects to a response category. Individuals having composite ordinal effectiveness outcome (COMPEFF) scores of 1 of 2, indicating efficacy, were combined as were those with scores of 3 or 4, indicating lack of efficacy (Davis et al., Schizophr. Bull. 29:73-80 (2003)). The side effects category consisted of individuals discontinued for safety concerns (COMPEFF score 5).

[0325]

Genetic analysis to document the influence of haplotypes on overall response regardless of the drug used was performed using as described in Example 2 with the PLINK 1.03 whole genome analysis toolset developed by Purcell and coworkers (Purcell et al., Am. J. Hum. Genet. 81:559-575 (2007)). PLINK calculates P values for the allele-specific chi-squared test and the odds ratio (OR; or relative risk) associated with the minor allele.

[0326]

Confirmation of SNP Effects on Overall Response and Side Effects for all Drugs:

[0327]

Tables 12 and 13 report the minor allele frequencies, P values, and ORs for SNPs, in Tables B and C that affect overall response for all drugs combined and side effect rates for all drugs combined, respectively; for a combined sample set of patients treated with the drugs described in Examples 2 through 6. Note in Tables 12 and 13 that haplotype blocks result in the same Test SNP being in linkage disequilibrium with multiple SNPs in Table B. Similarly, haplotype blocks result in multiple Test SNPs that can be used for each SNP listed in Table B, though such redundant examples are not presented in Tables 12 and 13.

[0328]

Tables 12 and 13, provide numerous examples of SNP-based alleles that predict altered response for all drugs combined (see Examples 2 through 6). For Table 12, ORs of >1.0 indicate that the minor SNP allele is associated with greater clinical improvement, and ORs of <1.0 indicate that the minor SNP allele is associated with lesser clinical improvement. For Table 13 ORs of >1.0 indicate that the minor SNP allele is associated with an increase in study ending side effects, and ORs of <1.0 indicate that the minor SNP allele is associated a decrease in study ending side effects.

[0000]

Alleles Affecting Positive Response to For All Drugs Combined
Test SNP in
linkageFrequency in
Gene NameTable BSNPdisequilibriumr2AllelerespondersPOR
NAGrs2302941rs102216710.58T0.3100.037430.724
NAGrs4668909rs64317051.00C0.2460.0040010.623
NAGrs13029846rs64317051.00C0.2460.0040010.623
NAGrs12692275rs12692275N/AC0.2480.0085830.650
HS1BP3rs10166174rs10166174N/AA0.3910.03951.368
HECW2rs1531111rs38493590.51A0.2990.018221.474
HECW2rs1406218rs67101730.72G0.3770.031941.389
HECW2rs10180365rs67101730.72G0.3770.031941.389
HECW2rs7355529rs15283980.66C0.3310.0034721.598
HECW2rs7577213rs134197920.57G0.2380.0052451.658
TRPM8rs2052029rs75605620.64C0.3090.026620.706
GADL1rs13316876rs65500241.00G0.0140.015380.290
GADL1rs1159653rs98095830.64C0.2070.016091.589
BSNrs1060962rs20055571.00G0.4400.028670.725
BSNrs2005557rs2005557N/AG0.4400.028670.725
ROBO1rs983513rs15633840.59G0.2110.003930.610
CRMP1rs3774883rs38219360.93C0.1230.010680.587
CRMP1rs3821936rs3821936N/AC0.1230.010680.587
JAKMIP1rs1514326rs38897240.71A0.2500.025450.693
PPP2R2Crs4374690rs102134100.63C0.2500.016630.676
GRID2rs11097378rs46933310.52C0.5250.0034531.537
UNC5Crs10856914rs108569160.96T0.4500.003711.544
PPP3CArs6532920rs26952060.60T0.5070.032661.367
CTNND2rs6875838rs14234940.83C0.4260.02961.384
CTNND2rs1458472rs45714700.52T0.2700.015230.677
IQGAP2rs10942768rs92936830.85C0.4140.028011.399
KCNIP1rs906362rs9063591.00C0.1840.033381.525
KCNIP1rs4242157rs68921930.58C0.3800.027080.717
STK10rs11134732rs11134732N/AA0.3280.043110.734
DGKBrs979499rs78088990.83G0.2180.019411.541
DGKBrs4632953rs78088991.00G0.2180.019411.541
CALN1rs7790530rs69770830.63T0.3760.02611.408
NRCAMrs9942691rs117687900.63G0.3630.04390.739
NRCAMrs13236767rs117687900.96G0.3630.04390.739
NRCAMrs2300053rs23000370.51C0.4160.011111.465
NRCAMrs726471rs132216390.77T0.4400.021991.406
PNPLA8rs40847rs23960010.56T0.4400.029761.381
PNPLA8rs40849rs23960011.00T0.4400.029761.381
PNPLA8rs40877rs23960010.56T0.4400.029761.381
PNPLA8rs40893rs23960010.56T0.4400.029761.381
PNPLA8rs3815252rs23960010.96T0.4400.029761.381
GPR85rs1608890rs1608890N/AA0.0770.015070.542
DPP6rs4960617rs49606161.00C0.0920.013782.008
GPR20rs7839244rs78289830.56A0.1620.017291.653
TSNARE1rs7009759rs127178330.88C0.1240.022850.621
TSNARE1rs10086550rs127178330.83C0.1240.022850.621
LYNX1rs7822193rs7822193N/AA0.4570.040841.356
EDG2rs3739709rs109806070.89T0.2250.046131.436
ASTN2rs1372332rs1372332N/AC0.4140.045120.743
NEK6rs2065221rs48381570.69T0.5040.012051.447
NEK6rs10760348rs48381570.90T0.5040.012051.447
NEK6rs748741rs748741N/AG0.3060.011340.676
PRKG1rs2339628rs23396780.68T0.4530.038161.364
PRKG1rs12355844rs23396781.00T0.4530.038161.364
SGMS1rs2251601rs2251601N/AC0.3490.041161.376
CTNNA3rs12265366rs12265366N/AC0.1870.042661.488
PIK3AP1rs563654rs563654N/AT0.1030.029261.784

[0000]

Alleles Increasing Negative Side Effects for All Drugs Combined
Test SNP in
linkageFrequency in
Gene NameTable B SNPdisequilibriumr2AllelediscontinuersPOR
HS1BP3rs17662644rs176630450.92T0.4080.0058071.664
HS1BP3rs10166174rs10166174N/AA0.2650.019350.635
INPP1rs4656rs18828921.00A0.4260.0023441.721
INPP1rs2016037rs18828920.70A0.4260.0023441.721
INPP1rs10931450rs18828920.67A0.4260.0023441.721
NAB1rs1468684rs45991500.86A0.3090.038511.489
MYO1Brs4853561rs134277610.54G0.5130.018941.512
MYO1Brs4853581rs134277610.96G0.5130.018941.512
HECW2rs7355529rs134285010.73A0.1130.023350.547
HECW2rs7577213rs134285011.00A0.1130.023350.547
NGEFrs2289914rs22927240.95G0.1330.048860.603
TRPM8rs2052029rs75605620.64C0.4470.01391.565
GADL1rs13316876rs65500241.00G0.0690.013582.537
ENTPD3rs1047855rs49738981.00A0.2650.04220.673
ENTPD3rs2305522rs49738981.00A0.2650.04220.673
ENTPD3rs7648952rs49738981.00A0.2650.04220.673
ENTPD3rs9817233rs49738981.00A0.2650.04220.673
ENTPD3rs9841335rs49738981.00A0.2650.04220.673
JAKMIP1rs6446469rs131128681.00G0.2590.03860.667
JAKMIP1rs9993666rs131128680.69G0.2590.03860.667
STIM2rs12642922rs117372180.62T0.2880.045261.485
CENTD1rs1878825rs76708680.69G0.4930.033841.467
CENTD1rs2271810rs76708680.67G0.4930.033841.467
CENTD1rs10517369rs76708680.61G0.4930.033841.467
CENTD1rs12651329rs76708681.00G0.4930.033841.467
CENTD1rs16991904rs76708680.87G0.4930.033841.467
GPRIN3rs754750rs124984050.96T0.3830.034490.686
GPRIN3rs919615rs124984050.96T0.3830.034490.686
GPRIN3rs1036111rs124984051.00T0.3830.034490.686
GPRIN3rs1346946rs124984050.52T0.3830.034490.686
SNCArs3775433rs100143960.52C0.1480.0075171.997
GRID2rs11097378rs46933310.52C0.3630.009440.626
PPP3CArs6532920rs27325060.71C0.3140.011820.622
CTNND2rs2905990rs10244970.51T0.1520.027650.592
CTNND2rs6875838rs14234940.83C0.2590.0006790.518
IQGAP2rs10942768rs92936830.85C0.2800.019710.630
IQGAP2rs6453217rs100773720.87A0.5440.025841.484
SCAMP1rs3922654rs21154360.64T0.3090.043321.491
SCAMP1rs10942856rs21154360.95T0.3090.043321.491
KCNIP1_KCNMB1rs314155rs7035040.56C0.4750.0023021.720
STK10rs11134732rs11134732N/AA0.4510.026251.480
DGKBrs2357958rs1967510.51T0.5130.034171.451
DGKBrs3823843rs102366530.87G0.5310.011561.559
DGKBrs4721345rs102366530.69G0.5310.011561.559
PIK3CGrs849412rs849412N/AT0.0900.017830.498
SLC26A4rs2248465rs20578370.61G0.3310.014371.592
SLC26A4rs2701685rs20578370.65G0.3310.014371.592
GPR22rs12673675rs20578370.92G0.3310.014371.592
NRCAMrs381318rs4097240.77T0.2280.040490.659
NRCAMrs401433rs4097240.68T0.2280.040490.659
NRCAMrs404287rs4097240.56T0.2280.040490.659
NRCAMrs409797rs4097241.00T0.2280.040490.659
NRCAMrs411444rs4097240.56T0.2280.040490.659
NRCAMrs439587rs4097240.56T0.2280.040490.659
NRCAMrs441468rs4097240.56T0.2280.040490.659
NRCAMrs2142325rs4097240.77T0.2280.040490.659
NRCAMrs6958498rs4097240.56T0.2280.040490.659
NRCAMrs6962066rs4097240.73T0.2280.040490.659
NRCAMrs12537654rs4097240.77T0.2280.040490.659
NRCAMrs12670313rs4097241.00T0.2280.040490.659
NRCAMrs428459rs22842800.51A0.2280.046990.664
NRCAMrs11983886rs22842800.51A0.2280.046990.664
NRCAMrs2300053rs23000370.51C0.2720.011730.616
PNPLA8rs40847rs23960010.56T0.3210.047980.694
PNPLA8rs40849rs23960011.00T0.3210.047980.694
PNPLA8rs40877rs23960010.56T0.3210.047980.694
PNPLA8rs40893rs23960010.56T0.3210.047980.694
PNPLA8rs3815252rs23960010.96T0.3210.047980.694
TSNARE1rs11167136rs100980730.64A0.4250.018790.660
SVEP1rs7038903rs7038903N/AC0.2040.030671.622
SVEP1rs7852962rs70389031.00C0.2040.030671.622
SVEP1rs7863519rs70389030.59C0.2040.030671.622
EDG2rs13094rs4917490.93A0.3030.034450.673
EDG2rs491855rs4917490.93A0.3030.034450.673
EDG2rs498328rs4917490.93A0.3030.034450.673
EDG2rs12555560rs20257660.67T0.2380.0131.696
DFNB31rs2274159rs2274159N/AG0.4190.037140.691
DFNB31rs942519rs107596970.81A0.4070.024260.671
DFNB31rs10982256rs10007090.51C0.3580.044310.695
PCDH15rs4519000rs110038630.89G0.1050.02840.550
CTNNA3rs10762168rs107621580.61C0.1790.027111.685
CTNNA3rs10762170rs109977011.00C0.1670.010331.874
CTNNA3rs12265366rs31253120.58A0.3580.023621.519
SLIT1rs7922865rs78968830.73C0.1670.017520.584
SLIT1rs7922865rs78968830.73C0.1670.017520.584
SLIT1rs2817667rs15654951.00C0.5310.015731.526

Example 8

Novel Markers Associated with Overall Psychiatric Endophenotypes in SZ

[0329]

Genotype and PANNS phonotype data were evaluated for 417 SZ patients enrolled in the CATIE trial. Following a period of drug wash-out, the CATIE study investigators rated each participant at baseline for psychopathology using the PANSS.

[0330]

Each of the individual and composite scores is a quantitative trait that can be assessed using quantitative statistical genetics methods. Genetic analysis to determine the influence of haplotypes on quantitative PANSS values was performed using the PLINK 1.03 whole genome analysis toolset developed by Purcell and coworkers (Purcell et al., Am. J. Hum. Genet. 81:559-575 (2007)).

[0331]

Confirmation of SNP Effects on Psychiatric Endophenotypes:

[0332]

Tables 14 and 15 show numerous examples of novel alleles that affect the values obtained for specific psychiatric endophenotypes. Note in Tables 14 and 15 that haplotype blocks result in the same Test SNP being in linkage disequilibrium with multiple SNPs in Table B. Similarly, haplotype blocks result in multiple Test SNPs that can be used for each SNP listed in Table B, though such redundant examples are not presented in Tables 12 and 13 unless different test SNPs influence different psychiatric endophenotypes.

[0333]

Tables 14 and 15 report results for specific SNP alleles that affect quantitative endophenotypes for SZ, along with Beta values and P values for the particular alleles of SNPs listed in Tables B and C. The Beta, beta weight from the regression, measures the impact of the SNP allele on the particular scale. A positive Beta means that the allele for the test SNP increases the score for that measure of psychopathology by the Beta value, while a negative Beta means that the allele for the test SNP decreases the score that for that measure of psychopathology by the Beta value.

[0334]

Table 14 shows selected examples for PANSS Total score, Positive Symptoms subscale, Negative Symptoms subscale, and the General Psychopathology subscale, analyzed as quantitative traits in PLINK using linear regression.

[0335]

Table 15 shows selected examples for the individual PANSS components. The component evaluated in each row is identified by one of the following abbreviations: Positive Symptoms: P1-delusions, P2-conceptual disorganization, P3-hallucinatory behavior, P4-exitement, P5-grandiosity, P6-suspiciousness, P7-hostility; Negative Symptoms: N1-blunted affect, N2-emotional withdrawal, N3-poor rapport, N4-passive/appathetic social withdrawal, N5-difficulty in abstract thinking, N60 lack of spontaneity and flow of conversation, N7-steryotyped thinking; General Psychopathology Symptoms: G1-somatic concern, G2-anxiety, G3-guilt feelings, G4-tension, G5-mannerisms and posturing, G6-depression, G7-motor retardation, G8-uncooperativeness, G9-unusual thought content, G10-disorentation, G11-poor attention, G12-lack of judgment and insight, G13 disturbance of volition, G14-poor impulse control, G15-preoccupation, G16-active social avoidance.

[0000]

Alleles Influencing Composite Psychiatric Endophenotypes
Test SNP in
linkage
Gene NameTable B SNPdisequilibriumr2AllelePANSSBetaP
NAGrs6730450rs67268171.00ATotal4.340.009287
NAGrs6730450rs67268171.00APositive1.420.008585
NAGrs6730450rs67268171.00AGeneral2.070.01763
NAGrs6730450rs168624320.51ANegative2.230.03748
NAGrs4668888rs37649221.00CNegative2.110.009896
VSNL1rs2710672rs67511130.93TTotal2.920.01724
VSNL1rs2710672rs67511130.93TPositive0.800.04677
VSNL1rs2710672rs67511130.93TGeneral1.620.0114
KCNS3rs6713395rs48325241.00ATotal−3.030.01423
KCNS3rs6713395rs48325241.00ANegative−1.260.005327
KCNS3rs4832524rs4832524N/AANegative−1.260.005327
KCNS3rs6713395rs48325241.00AGeneral−1.560.01613
SLC4A10rs1449629rs15674210.67TNegative2.040.005843
SLC4A10rs13006199rs15674210.67TNegative2.040.005843
SLC4A10rs979375rs15100940.72ATotal3.920.01638
SLC4A10rs1399650rs15100941.00ATotal3.920.01638
SLC4A10rs1515186rs15100941.00ATotal3.920.01638
SLC4A10rs1227919rs64327040.58GNegative0.940.02821
SLC4A10rs6432705rs64327040.86GNegative0.940.02821
SLC4A10rs6734760rs64327040.77GNegative0.940.02821
GLSrs984610rs129871130.96GPositive−0.840.03674
GLSrs2204859rs129871130.64GPositive−0.840.03674
TMEFF2rs4853658rs130013040.62CTotal3.090.01725
TMEFF2rs4853658rs130013040.62CGeneral1.850.006363
HECW2rs1531111rs67306180.65CPositive−1.080.01544
HECW2rs1406218rs67474190.53CNegative0.960.04894
HECW2rs10180365rs67474190.53CNegative0.960.04894
HECW2rs7577213rs134197920.57GTotal−4.050.01024
HECW2rs7577213rs134197920.57GGeneral−1.960.01802
HECW2rs7355529rs92882640.89GPositive−1.140.01322
HECW2rs7577213rs92882640.60GPositive−1.140.01322
ABI2rs11682759rs14707900.81AGeneral−2.110.01016
ABI2rs3731652rs24699500.59GTotal−4.560.04554
ABI2rs3731652rs24699500.59GGeneral−3.360.004748
DGKDrs11681604rs75662210.86CPositive−1.150.02618
TRPM8rs2215173rs75959600.59APositive1.530.02015
CENTG2rs1018313rs17108291.00ATotal3.100.03344
CENTG2rs2696398rs17108290.95ATotal3.100.03344
CENTG2rs1018313rs17108291.00APositive0.990.03763
CENTG2rs1018313rs17108291.00AGeneral1.630.03334
CENTG2rs2696398rs10183130.95CPositive1.010.03323
CENTG2rs2696398rs10183130.95CGeneral1.720.02522
CENTG2rs6759206rs64314000.96TPositive−0.990.01398
CENTG2rs7593724rs19624430.60CTotal2.660.0268
CENTG2rs7593724rs19624430.60CPositive0.970.01258
CENTG2rs7593724rs19624430.60CGeneral1.350.0317
GADL1rs9823803rs7954410.53GPositive1.030.008114
GADL1rs1393748rs98238030.64APositive−1.130.003323
GADL1rs9823803rs9823803N/AAPositive−1.130.003323
BSNrs1352889rs42414070.54GNegative−1.050.04063
ROBO1rs2271151rs67885110.87ATotal−3.440.01733
ROBO1rs10049102rs67885110.95ATotal−3.440.01733
ROBO1rs2271151rs67885110.87AGeneral−2.060.0063
ROBO1rs10049102rs67885110.95AGeneral−2.060.0063
ROBO1rs6788511rs6788511N/AAGeneral−2.060.0063
ROBO1rs6788511rs173754960.87TGeneral−1.810.02111
ROBO1rs6795556rs173754960.54TGeneral−1.810.02111
ROBO1rs983513rs15633840.59GNegative1.040.03862
CHMP2Brs9836453rs131002181.00TPositive−1.710.03798
CHMP2Brs13100218rs13869271.00GPositive−1.650.04814
EPHA3rs7646842rs124869710.57CNegative−1.240.02833
EPHA3rs13074291rs124869710.54CNegative−1.240.02833
CBLBrs13060223rs76461590.51GNegative−1.170.009087
CBLBrs10804442rs10804442N/ACTotal−3.850.005479
CBLBrs6807382rs108044420.90CNegative−1.170.02129
CBLBrs7645021rs108044421.00CNegative−1.170.02129
CBLBrs7649466rs108044420.71CNegative−1.170.02129
CBLBrs10804442rs10804442N/ACGeneral−1.900.008938
CBLBrs6807382rs67959610.90GTotal−4.230.002443
CBLBrs7645021rs67959611.00GTotal−4.230.002443
CBLBrs7649466rs67959610.71GTotal−4.230.002443
CBLBrs10804442rs67959611.00GTotal−4.230.002443
CBLBrs13060223rs67959610.95GTotal−4.230.002443
CBLBrs6807382rs67959610.90GPositive−1.010.02619
CBLBrs7645021rs67959611.00GPositive−1.010.02619
CBLBrs7649466rs67959610.71GPositive−1.010.02619
CBLBrs10804442rs67959611.00GPositive−1.010.02619
CBLBrs13060223rs67959610.95GPositive−1.010.02619
CBLBrs10804442rs67959611.00GNegative−1.150.02584
CBLBrs6807382rs67959610.90GGeneral−2.070.004685
CBLBrs7645021rs67959611.00GGeneral−2.070.004685
CBLBrs7649466rs67959610.71GGeneral−2.070.004685
CBLBrs10804442rs67959611.00GGeneral−2.070.004685
CBLBrs13060223rs67959610.95GGeneral−2.070.004685
JAKMIP1rs1514326rs38897240.71ATotal3.410.01061
JAKMIP1rs1514326rs38897240.71ANegative1.350.005729
JAKMIP1rs1514326rs38897240.71AGeneral1.840.008186
JAKMIP1rs6446469rs131128681.00GPositive−0.970.02233
JAKMIP1rs9993666rs131128680.69GPositive−0.970.02233
SNCArs3775433rs8942780.90GNegative2.330.01457
SNCArs10033209rs8942780.83GNegative2.330.01457
GRID2rs3796675rs119315290.54CPositive1.740.04943
GRID2rs994011rs9899270.58ATotal−2.680.02355
GRID2rs2271385rs9899270.62ATotal−2.680.02355
GRID2rs4502650rs9899270.58ATotal−2.680.02355
GRID2rs994011rs9899270.58APositive−1.140.002843
GRID2rs2271385rs9899270.62APositive−1.140.002843
GRID2rs4502650rs9899270.58APositive−1.140.002843
GRID2rs1385405rs100292331.00TPositive0.880.03042
UNC5Crs2276322rs37750480.92GPositive1.010.01919
UNC5Crs3733212rs37750481.00GPositive1.010.01919
UNC5Crs4699415rs37750480.79GPositive1.010.01919
UNC5Crs4699836rs37750480.84GPositive1.010.01919
UNC5Crs12642020rs37750480.96GPositive1.010.01919
PPP3CArs2732509rs27325100.66CTotal−4.050.04997
PPP3CArs2732509rs27325100.66CNegative−1.810.01739
PPP3CArs6532920rs27325060.71CPositive−0.990.01484
TACR3rs3822290rs13844010.96ANegative0.980.03565
TACR3rs7657032rs13844010.86ANegative0.980.03565
GPM6Ars2581754rs23332610.86ATotal−3.000.01478
GPM6Ars2581754rs23332610.86APositive−0.790.0498
GPM6Ars2581754rs23332610.86ANegative−0.930.04069
GPM6Ars2581754rs23332610.86AGeneral−1.290.04589
CTNND2rs2973488rs68872770.53CPositive−1.460.02743
CTNND2rs10036380rs100585181.00AGeneral3.140.04197
CTNND2rs2727591rs25309100.92TTotal2.810.03157
CTNND2rs2727591rs25309100.92TGeneral1.590.02043
NLNrs34980rs349820.76GTotal−2.360.04782
NLNrs252637rs349820.81GTotal−2.360.04782
NLNrs1301475rs349820.57GTotal−2.360.04782
NLNrs2548788rs349820.66GTotal−2.360.04782
NLNrs34980rs13098210.96GGeneral−1.750.006965
NLNrs252637rs13098210.96GGeneral−1.750.006965
NLNrs1301475rs13098210.66GGeneral−1.750.006965
NLNrs2548788rs13098210.81GGeneral−1.750.006965
NLNrs2248213rs25612000.54TTotal2.660.03416
NLNrs2254485rs8953790.68ATotal−2.440.03848
NLNrs2248213rs8953790.57AGeneral−1.790.003513
NLNrs2254485rs8953790.68AGeneral−1.790.003513
NLNrs2250861rs25611930.61TGeneral−1.640.01899
IQGAP2rs6859984rs43261190.95CNegative−1.050.03753
IQGAP2rs10045155rs43261190.81CNegative−1.050.03753
IQGAP2rs152339rs1533171.00GNegative−1.040.02476
IQGAP2rs464494rs1533171.00GNegative−1.040.02476
PDE8Brs3214046rs23598750.71GNegative−1.170.03235
PDE8Brs3733952rs23598750.71GNegative−1.170.03235
NMUR2rs7341041rs174472800.94CTotal3.650.01629
STK10rs2279514rs22795150.89CPositive1.030.02974
STK10rs3103575rs22795150.71CPositive1.030.02974
NRN1rs582262rs5821860.51ANegative−1.360.003787
NRN1rs582186rs582186N/AANegative−1.360.003787
RHAGrs1480617rs69348670.56TTotal−3.430.03109
RHAGrs1480619rs69348670.58TTotal−3.430.03109
RHAGrs6458705rs69348670.83TTotal−3.430.03109
RHAGrs1471541rs69348670.91TGeneral−2.160.009458
RHAGrs1480617rs69348670.56TGeneral−2.160.009458
RHAGrs1480619rs69348670.58TGeneral−2.160.009458
RHAGrs6458705rs69348670.83TGeneral−2.160.009458
RHAGrs6934867rs6934867N/ATGeneral−2.160.009458
DGKBrs979499rs102434410.67GPositive−1.110.01593
DGKBrs4632953rs102434410.54GPositive−1.110.01593
CALN1rs10229537rs5013830.65AGeneral3.240.008859
CALN1rs10255136rs126665781.00ATotal3.890.01599
CALN1rs10255136rs102604200.85CGeneral2.400.006748
CALN1rs1232514rs126991250.96GGeneral1.590.01678
GPR22rs10244871rs77861860.84GPositive0.910.02043
GPR22rs12673675rs115352850.77GTotal3.980.007621
GPR22rs12673675rs115352850.77GPositive1.630.000744
GPR22rs12673675rs115352850.77GGeneral1.800.02125
SLC26A4rs2248465rs22936580.64TPositive1.370.002822
SLC26A4rs2701685rs22936580.68TPositive1.370.002822
NRCAMrs726471rs37634621.00ATotal3.480.005388
NRCAMrs2300053rs37634620.90ATotal3.480.005388
NRCAMrs726471rs37634621.00AGeneral2.140.000984
PNPLA8rs40848rs102255611.00CTotal−4.130.0017
PNPLA8rs40848rs102255611.00CPositive−1.040.01579
PNPLA8rs40848rs102255611.00CGeneral−2.440.000383
CENTG3rs729712rs47253920.75TPositive1.050.01013
ACTR3Brs940261rs47262070.58GGeneral−1.330.04726
ACTR3Brs940262rs47262070.50GGeneral−1.330.04726
SLArs2252805rs22529171.00GNegative−0.860.04407
SLArs2252917rs2252917N/AGNegative−0.860.04407
TSNARE1rs7462663rs49769520.51GNegative−1.890.01989
TSNARE1rs6583623rs117845230.52ATotal−5.470.02284
TSNARE1rs7462663rs117845230.51ATotal−5.470.02284
TSNARE1rs6583623rs117845230.52ANegative−1.840.03737
TSNARE1rs6583623rs117845230.52AGeneral−3.190.01133
TSNARE1rs7462663rs117845230.51AGeneral−3.190.01133
PAPPArs1405rs108178650.76GNegative−0.950.03462
PAPPArs405485rs108178651.00GNegative−0.950.03462
PAPPArs407200rs108178650.70GNegative−0.950.03462
PAPPArs1888636rs108178650.73GNegative−0.950.03462
PAPPArs10983070rs108178650.70GNegative−0.950.03462
PAPPArs10983085rs108178650.73GNegative−0.950.03462
PAPPArs13290387rs108178650.73GNegative−0.950.03462
ASTN2rs2900131rs117932120.57CPositive0.960.01757
ASTN2rs2900131rs78566250.62CNegative−1.030.02335
ASTN2rs10513278rs108179670.52ATotal−2.910.0477
ASTN2rs10513278rs108179670.52APositive−0.960.04475
ASTN2rs10513278rs108179670.52AGeneral−1.930.01191
ASTN2rs10983437rs108179721.00ANegative−1.490.02913
NEK6rs2416rs78534720.65ANegative0.950.04831
NEK6rs748741rs78534720.85ANegative0.950.04831
NEK6rs1107342rs78534720.82ANegative0.950.04831
NEK6rs1330811rs78534720.59ANegative0.950.04831
NEK6rs2274780rs78534720.66ANegative0.950.04831
NEK6rs2282084rs78534720.89ANegative0.950.04831

[0000]

Alleles Influencing Specific Psychiatric Endophenotypes
Test SNP in
linkage
Gene NameTable B SNPdisequilibriumr2AllelePANSSBetaP
ATP6V1C2rs881572rs46696130.56AG140.290.0005718
ATP6V1C2rs4669613rs4669613N/AAG140.290.0005718
NAGrs6730450rs67268171.00AG160.480.0001579
NAGrs6730450rs67268171.00AP60.400.003656
NAGrs4668888rs168624350.56CG160.430.001175
NAGrs4668888rs37649221.00CN30.480.002039
NAGrs4668909rs64316920.80TN6−0.320.001716
NAGrs12692275rs64316920.93TN6−0.320.001716
NAGrs13029846rs64316920.80TN6−0.320.001716
NAGrs4668909rs38051060.86CP10.440.000228
NAGrs12692275rs38051061.00CP10.440.000228
NAGrs13029846rs38051060.86CP10.440.000228
NAGrs4668909rs67104561.00TG20.280.003053
NAGrs12692275rs67104560.86TG20.280.003053
NAGrs13029846rs67104561.00TG20.280.003053
SLC4A10rs1449629rs15674210.67TN50.590.0004231
SLC4A10rs13006199rs15674210.67TN50.590.0004231
SCN2Ars353119rs3531280.60GG2−0.270.00465
SCN2Ars2390258rs21166580.92TG16−0.290.00423
TMEFF2rs4853658rs130013040.62CG130.240.003892
HECW2rs1406218rs67101730.72GN30.280.001885
HECW2rs10180365rs67101730.72GN30.280.001885
HECW2rs7577213rs134197920.57GG9−0.350.002721
ABI2rs3731652rs134301940.81TG6−0.440.000546
ABI2rs11682759rs134301941.00TG6−0.440.000546
NGEFrs2289914rs22927240.95GG6−0.370.002689
TRPM8rs2215173rs75959600.59AG80.370.0001662
TRPM8rs6431648rs115632160.61GG80.250.002723
TRPM8rs6711120rs115632160.61GG80.250.002723
TRPM8rs10189040rs115632160.61GG80.250.002723
CENTG2rs6759206rs64314000.96TP5−0.290.001194
CENTG2rs7593724rs118988800.51TG60.280.004616
SLC6A11rs2600072rs22549310.68GG40.290.004546
GADL1rs9850620rs76148210.74AP5−0.290.004236
GADL1rs711684rs711684N/ACP50.310.0003848
GADL1rs1393748rs98238030.64AP5−0.330.0001195
GADL1rs9823803rs9823803N/AAP5−0.330.0001195
IHPK2rs4858798rs4858798N/AGG40.250.004065
IHPK2rs4858828rs48587981.00GG40.250.004065
IHPK2rs4858831rs48587981.00GG40.250.004065
ROBO1rs983513rs23113500.65GG20.290.003161
CHMP2Brs9836453rs13869271.00GP6−0.600.004197
CHMP2Brs13100218rs13869271.00GP6−0.600.004197
EPHA3rs7646842rs9077130.57CN5−0.510.0000675
EPHA3rs13074291rs9077130.54CN5−0.510.0000675
CBLBrs13060223rs76461590.51GG7−0.220.004856
CBLBrs13060223rs76461590.51GN6−0.270.004618
CBLBrs6807382rs76385040.62CN4−0.420.002002
CBLBrs7645021rs76385040.71CN4−0.420.002002
CBLBrs10804442rs76385040.71CN4−0.420.002002
CBLBrs13060223rs76385040.68CN4−0.420.002002
CBLBrs6807382rs67959610.90GG6−0.340.002181
CBLBrs7645021rs67959611.00GG6−0.340.002181
CBLBrs7649466rs67959610.71GG6−0.340.002181
CBLBrs10804442rs67959611.00GG6−0.340.002181
CBLBrs13060223rs67959610.95GG6−0.340.002181
CBLBrs7649466rs67959610.71GN4−0.310.00446
CBLBrs6807382rs67959610.90GP6−0.340.002978
CBLBrs7645021rs67959611.00GP6−0.340.002978
CBLBrs7649466rs67959610.71GP6−0.340.002978
CBLBrs10804442rs67959611.00GP6−0.340.002978
CBLBrs13060223rs67959610.95GP6−0.340.002978
CRMP1rs984576rs22768770.51TP70.210.001141
CRMP1rs13130069rs22768770.59TP70.210.001141
JAKMIP1rs1514326rs38897240.71AG150.310.0008114
SNCArs3775433rs8942780.90GN50.620.004212
SNCArs10033209rs8942780.83GN50.620.004212
GRID2rs2271385rs13691690.60GP3−0.320.004033
GRID2rs4502650rs13691690.56GP3−0.320.004033
GRID2rs1456359rs21246220.61AP30.340.002529
GRID2rs994011rs9899270.58AP5−0.270.001615
GRID2rs2271385rs9899270.62AP5−0.270.001615
GRID2rs4502650rs9899270.58AP5−0.270.001615
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CTNNA3rs10762075rs19113550.89CG30.340.002118
CTNNA3rs7092601rs28940200.57CG2−0.290.001329
CTNNA3rs7092601rs43414300.93CG40.260.001426
CTNNA3rs9651326rs109975820.79AG1−0.410.001991
CTNNA3rs12265366rs108230850.53AN1−0.330.002648
CTNNA3rs12265366rs9326560.53AN1−0.320.003733
CTNNA3rs12265366rs79140770.53GN1−0.310.004964
ZFYVE27rs17108378rs17108378N/AAG80.490.004051

OTHER EMBODIMENTS

[0336]

It is to be understood that while the invention has been described in conjunction with the detailed description thereof, the foregoing description is intended to illustrate and not limit the scope of the invention, which is defined by the scope of the appended claims. Other aspects, advantages, and modifications are within the scope of the following claims.

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