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    ABSTRACT: Recent genome-wide association studies (GWASs) of schizophrenia (SCZ) identified several susceptibility genes and suggested shared genetic components between SCZ and bipolar disorder (BD). We conducted a genetic association study of single nucleotide polymorphisms (SNPs) selected according to previous SCZ GWAS targeting psychotic disorders (SCZ and BD) in the Japanese population. Fifty-one SNPs were analyzed in a two-stage design using first-set screening samples (all SNPs: 1,032 SCZ, 1,012 BD, and 993 controls) and second-set replication samples (“significant” SNPs in the first-set screening analysis: 1,808 SCZ, 821 BD, and 2,321 controls). We assessed allelic associations between the selected SNPs and the three phenotypes (SCZ, BD, and “psychosis” [SCZ + BD]). Nine SNPs revealed nominal association signals for all comparisons (Puncorrected < 0.05), of which two SNPs located in the major histocompatibility complex region (rs7759855 in zinc finger and SCAN domain containing 31 [ZSCAN31] and rs1736913 in HLA-F antisense RNA1 [HLA-F-AS1]) were further assessed in the second-set replication samples. The associations were confirmed for rs7759855 (Pcorrected = 0.026 for psychosis; Pcorrected = 0.032 for SCZ), although the direction of effect was opposite to that in the original GWAS of the Chinese population. Finally, a meta-analysis was conducted using our two samples and using our data and data from Psychiatric GWAS Consortium (PGC), which have shown the same direction of effect. SNP in ZSCAN31 (rs7759855) had the strongest association with the phenotypes (best P = 6.8 × 10−5 for psychosis: present plus PGC results). These data support shared risk SNPs between SCZ and BD in the Japanese population and association between MHC and psychosis. © 2014 Wiley Periodicals, Inc.
    American Journal of Medical Genetics Part B Neuropsychiatric Genetics 07/2014; 165(5). DOI:10.1002/ajmg.b.32246 · 3.27 Impact Factor
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    ABSTRACT: The Genomic Psychiatry Cohort (GPC) is a longitudinal resource designed to provide the necessary population-based sample for large-scale genomic studies, studies focusing on Research Domain Criteria (RDoC) and/or other alternate phenotype constructs, clinical and interventional studies, nested case-control studies, long-term disease course studies, and genomic variant-to-phenotype studies. We provide and will continue to encourage access to the GPC as an international resource. DNA and other biological samples and diagnostic data are available through the National Institute of Mental Health (NIMH) Repository. After appropriate review and approval by an advisory board, investigators are able to collaborate in, propose, and co-lead studies involving cohort participants. © 2013 Wiley Periodicals, Inc.
    American Journal of Medical Genetics Part B Neuropsychiatric Genetics 06/2013; 162(4). DOI:10.1002/ajmg.b.32160 · 3.27 Impact Factor
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    ABSTRACT: Schizophrenia (SCZ) is a common, complex and severe psychiatric disorder associated with many different genetic and environmental risk factors. A recent genome-wide association study identified a single-nucleotide polymorphism (SNP, rs1625579) in microRNA-137 (miR-137) as a possible susceptibility locus for SCZ. Hoping to validate this finding, we conducted a case-control study of the Han Chinese population, with 506 SCZ cases and 522 healthy controls, using the Ligase detection reaction-polymerase chain reaction method to genotype the polymorphism rs1625579 in the miR-137 gene. However, we found no significant difference (P > 0.05) in either allele or genotype frequency in this SNP between patients and controls. In addition, a meta-analysis indicated that the 'T' allele of SNP rs1625579 was not associated with susceptibility to SCZ in Han Chinese populations (pooled OR 1.087, 95 % CI 0.847-1.396, P = 0.512). Thus, these results do not support the previous finding suggesting further replication studies using a large-scale association analysis that should be warranted in Han Chinese populations.
    Molecular Genetics and Genomics 09/2014; 290(1). DOI:10.1007/s00438-014-0924-3 · 2.83 Impact Factor

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