Tomo Okochi

Genome-wide association study of schizophrenia in a Japanese population.

BACKGROUND Genome-wide association studies have detected a small number of weak but strongly supported schizophrenia risk alleles. Moreover, a substantial polygenic component to the disorder consisting of a large number of such alleles has been reported by the International Schizophrenia Consortium. METHOD We report a Japanese genome-wide association study of schizophrenia comprising 575 cases and 564 controls. We attempted to replicate 97 markers, representing a nonredundant panel of markers derived mainly from the top 150 findings, in up to three data sets totaling 1990 cases and 5389 controls. We then attempted to replicate the observation of a polygenic component to the disorder in the Japanese and to determine whether this overlaps that seen in UK populations. RESULTS Single-locus analysis did not reveal genome-wide support for any locus in the genome-wide association study sample (best p = 6.2 × 10(-6)) or in the complete data set in which the best supported locus was SULT6B1 (rs11895771: p = 3.7 × 10(-5) in the meta-analysis). Of loci previously supported by genome-wide association studies, we obtained in the Japanese support for NOTCH4 (rs2071287: p(meta) = 5.1 × 10(-5)). Using the approach reported by the International Schizophrenia Consortium, we replicated the observation of a polygenic component to schizophrenia within the Japanese population (p = .005). Our trans Japan-UK analysis of schizophrenia also revealed a significant correlation (best p = 7.0 × 10(-5)) in the polygenic component across populations. CONCLUSIONS These results indicate a shared polygenic risk of schizophrenia between Japanese and Caucasian samples, although we did not detect unequivocal evidence for a novel susceptibility gene for schizophrenia.

Copy Number Variation in Schizophrenia in the Japanese Population

BACKGROUND Copy number variants (CNVs) have been shown to increase the risk to develop schizophrenia. The best supported findings are at 1q21.1, 15q11.2, 15q13.3, and 22q11.2 and deletions at the gene neurexin 1 (NRXN1). METHODS In this study, we used Affymetrix 5.0 arrays to investigate the role of rare CNVs in 575 patients with schizophrenia and 564 control subjects from Japan. RESULTS There was a nonsignificant trend for excess of rare CNVs in schizophrenia (p = .087); however, we did not confirm the previously implicated association for very large CNVs (>500 kilobase [kb]) in this population. We provide support for three previous findings in schizophrenia, as we identified one deletion in a case at 1q21.1, one deletion within NRXN1, and four duplications in cases and one in a control subject at 16p13.1, a locus first implicated in autism and later in schizophrenia. CONCLUSIONS In this population, we support some of the previous findings in schizophrenia but could not find an increased burden of very large (>500 kb) CNVs, which was proposed recently. However, we provide support for the role of CNVs at 16p13.1, 1q21.1, and NRXN1.

Identification of Novel Candidate Genes for Treatment Response to Risperidone and Susceptibility for Schizophrenia: Integrated Analysis Among Pharmacogenomics, Mouse Expression, and Genetic Case-Control Association Approaches

BACKGROUND Pharmacogenomic approaches based on genomewide sets of single nucleotide polymorphisms (SNPs) are now feasible and offer the potential to uncover variants that influence drug response. METHODS To detect potential predictor gene variants for risperidone response in schizophrenic subjects, we performed a convergent analysis based on 1) a genomewide (100K SNP) SNP pharmacogenetic study of risperidone response and 2) a global transcriptome study of genes with mRNA levels influenced by risperidone exposure in mouse prefrontal cortex. RESULTS Fourteen genes were highlighted as of potential relevance to risperidone activity in both studies: ATP2B2, HS3ST2, UNC5C, BAG3, PDE7B, PAICS, PTGFRN, NR3C2, ZBTB20, ST6GAL2, PIP5K1B, EPHA6, KCNH5, and AJAP1. The SNPs related to these genes that were associated in the pharmacogenetic study were further assessed for evidence for association with schizophrenia in up to three case-control series comprising 1564 cases and 3862 controls in total (Japanese [JPN] 1st and 2nd samples and UK sample). Of 14 SNPs tested, one (rs9389370) in PDE7B showed significant evidence for association with schizophrenia in a discovery sample (p(allele) = .026 in JPN_1st, two-tailed). This finding replicated in a joint analysis of two independent case-control samples (p(JPN_2nd+UK) = .008, one-tailed, uncorrected) and in all combined data sets (p(all) = .0014, two-tailed, uncorrected and p(all) = .018, two-tailed, Bonferroni correction). CONCLUSIONS We identified novel candidate genes for treatment response to risperidone and provide evidence that one of these additionally may confer susceptibility to schizophrenia. Specifically, PDE7B is an attractive candidate gene, although evidence from integrated methodology, including pharmacogenomics, pharmacotranscriptomic, and case-control association approaches.

The impact of a genome-wide supported psychosis variant in the ZNF804A gene on memory function in schizophrenia†

A recent genome‐wide association study showed that a variant (rs1344706) in the ZNF804A gene was associated with schizophrenia and bipolar disorder. Replication studies supported the evidence for association between this variant in the ZNF804A gene and schizophrenia and that this variant is the most likely susceptibility variant. Subsequent functional magnetic resonance imaging studies in healthy subjects demonstrated the association of the high‐risk ZNF804A variant with neural activation during a memory task and a theory of mind task. As these cognitive performances are disturbed in patients with schizophrenia, this gene may play a role in cognitive dysfunction in schizophrenia. The aim of the current study was to investigate the potential relationship between this ZNF804A polymorphism and memory function. The effects of the high‐risk ZNF804A genotype, diagnosis, and genotype–diagnosis interaction on verbal memory, visual memory (VisM), attention/concentration, and delayed recall (measured by the Wechsler Memory Scale‐Revised) were analyzed by two‐way analysis of covariance in 113 patients with schizophrenia and 184 healthy subjects. Consistent with previous studies, patients with schizophrenia exhibited poorer performance on all indices as compared to healthy control subjects (P < 0.001). A significant ZNF804A genotype–diagnosis interaction was found for VisM performance (P = 0.0012). Patients with the high‐risk T/T genotype scored significantly lower on VisM than G carriers did (P = 0.018). In contrast, there was no genotype effect for any index in the healthy control subjects (P > 0.05). Our data suggest that rs1344706 may be related to memory dysfunction in schizophrenia.

Association analysis of nuclear receptor Rev-erb alpha gene (NR1D1) with mood disorders in the Japanese population

Several investigations have suggested that alterations in circadian rhythms may lay the foundation for the development of mood disorder (bipolar disorder and major depressive disorder). Recently, the nuclear receptor Rev-erb alpha was reported to be related to circadian rhythms, and was shown to be involved in the biological action of lithium in vitro. These evidences indicate that the nuclear receptor Rev-erb alpha gene (NR1D1) is a good candidate gene for the pathogenesis of mood disorders. To evaluate the association between NR1D1 and mood disorders, we conducted a case-control study of Japanese samples (147 bipolar patients, 322 major depressive disorder patients and 360 controls) with three tagging SNPs selected by HapMap database. One SNP showed an association with bipolar disorder in females. After Bonferroni correction for multiple testing, however, this significance disappeared. No significant association was found with major depressive disorder. In conclusion, our findings suggest that NR1D1 does not play a major role in the pathophysiology of mood disorders in the Japanese population.

SIRT1 gene is associated with major depressive disorder in the Japanese population.

BACKGROUND Many studies including our previous ones as to PROKR2 and CLOCK have suggested that circadian genes may be involved in the mechanisms of mood disorders and their treatment responses. Also several recent investigations have reported that SIRT1 plays an important role in the circadian system as conventional circadian clock genes, and also have some relation to dopaminergic metabolism. So we considered the SIRT1 gene to be a good candidate gene for the pathophysiology for MDD and SSRI responses in MDD, and conducted a case-control study using four tagging SNPs (450 MDD patients, including 261 patients treated by SSRIs and 766 controls). METHOD The MDD patients in this study had scores of 12 or higher on the 17 items of the Structured Interview Guide for Hamilton Rating Scale for Depression (SIGH-D). We defined a clinical response as a decrease of more than 50% in baseline SIGH-D within 8 weeks, and clinical remission as an SIGH-D score of less than 7 at 8 weeks. Marker-trait association analysis was used to evaluate allele and genotype association with the chi-square test, and haplotype association analysis was evaluated with a likelihood ratio test. RESULT We found an association between rs10997875 in SIRT1 gene and MDD in the allele/genotype analysis. In addition, this significance of these associations survived Bonferroni correction. However, we did not find any association between SIRT1 gene and SSRI therapeutic response in MDD in the allele/genotype analysis or haplotype analysis. LIMITATIONS A replication study using larger samples may be required for conclusive results, since our sample size was small. CONCLUSIONS Our results suggest that rs10997875 in SIRT1 gene may play a role in the pathophysiology of MDD in the Japanese population.

Serotonin 1A receptor gene and major depressive disorder: an association study and meta-analysis.

Several genetic studies have shown an association between the 5-HT1A receptor gene (HTR1A) and major depressive disorder (MDD); however, results have been rather inconsistent. Moreover, to our knowledge, no association study on HTR1A and MDD in the Japanese population has been reported. Therefore, to evaluate the association between HTR1A and MDD, we conducted a case–control study of Japanese population samples with two single-nucleotide polymorphisms (SNPs), including rs6295 (C-1019G) in HTR1A. In addition, we conducted a meta-analysis of rs6295, which has been examined in other papers. Using one functional SNP (rs6295) and one tagging SNP (rs878567) selected with the HapMap database, we conducted a genetic association analysis of case–control samples (331 patients with MDD and 804 controls) in the Japanese population. Seven population-based association studies, including this study, met our criteria for the meta-analysis of rs6295. We found an association between rs878567 and Japanese MDD patients in the allele-wise analysis, but the significance of this association did not remain after Bonferronis correction. We also did not detect any association between HTR1A and MDD in the allele/genotype-wise or haplotype-wise analysis. On the other hand, we detected an association between rs6295 and MDD in the meta-analysis (P(Z)=0.0327). In an explorative analysis, rs6295 was associated with Asian MDD patients after correction for multiple testing (P(Z)=0.0176), but not with Caucasian MDD patients (P(Z)=0.138). Our results suggest that HTR1A may not have a role in the pathophysiology of Japanese MDD patients. On the other hand, according to the meta-analysis, HTR1A was associated with MDD patients, especially in the Asian population.

Resequencing and Association Analysis of the KALRN and EPHB1 Genes And Their Contribution to Schizophrenia Susceptibility

BACKGROUND Our genome-wide association study of schizophrenia found association signals at the Kalirin gene (KALRN) and EPH receptor B1 gene (EPHB1) in a Japanese population. The importance of these synaptogenic pathway genes in schizophrenia is gaining independent supports. Although there has been growing interest in rare (<1%) missense mutations as potential contributors to the unexplained heritability of schizophrenia, there are no population-based studies targeting rare (<1%) coding mutations with a larger effect size (eg, OR >1.5) in KALRN or EPHB1. METHODS AND RESULTS The present study design consisted of 3 phases. At the discovery phase, we conducted resequencing analyses for all exon regions of KALRN and EPHB1 using a DNA microarray-based method. Seventeen rare (<1%) missense mutations were discovered in the first sample set (320 schizophrenic patients). After the prioritization phase based on frequencies in the second sample set (729 cases and 562 controls), we performed association analyses for each selected mutation using the third sample set (1511 cases and 1517 controls), along with a combined association analysis across all selected mutations. In KALRN, we detected a significant association between schizophrenia and P2255T (OR = 2.09, corrected P = .048, 1 tailed); this was supported in the combined association analysis (OR = 2.07, corrected P = .006, 1 tailed). We found no evidence of association of EPHB1 with schizophrenia. In silico analysis indicated the functional relevance of these rare missense mutations. CONCLUSION We provide evidence that multiple rare (<1%) missense mutations in KALRN may be genetic risk factors for schizophrenia.

BDNF is not associated with schizophrenia: Data from a Japanese population study and meta-analysis

A variety of evidence suggests brain-derived neurotrophic factor (BDNF) as a candidate gene for schizophrenia, and several genetic studies have shown a significant association between the disease and certain SNPs within BDNF (specifically, Val66Met and C270T). According to a recent study, the functional microsatellite marker BDNF-LCPR (BDNF-linked complex polymorphic region), which affects the expression level of BDNF, is associated with bipolar disorder. The goals of our current study were to 1) evaluate the quality of HapMap-based linkage disequilibrium (LD) tagging of BDNF-LCPR, 2) examine whether these tagging SNPs are associated with schizophrenia in a Japanese population, and 3) conduct a meta-analysis of the two most extensively studied polymorphisms: Val66Met and C270T. We genotyped eight tagging SNPs, including Val66Met and C270T. Our LD evaluation showed that BDNF-LCPR could be represented by these tagging SNPs in controls (with 73.5% allelic coverage). However, the functional A1 allele was not captured due to its low minor allele frequency (2.2%). In a case-control study (1117 schizophrenics and 1102 controls), no association was found in single-marker or multimarker analysis. Moreover, in a meta-analysis, the Val66Met polymorphism was not associated with schizophrenia, whereas C270T showed a trend for association in a fixed model (p=0.036), but not in a random model (p=0.053). From these findings, we conclude that if BDNF is indeed associated with schizophrenia, the A1 allele in BDNF-LCPR would be the most promising candidate. Further LD evaluation, as well as an association study in which BDNF-LCPR is genotyped directly, would be required for a more conclusive result.

Serotonin 1A receptor gene, schizophrenia and bipolar disorder: An association study and meta-analysis

Several investigations have reported associations between serotonin 1A (5-HT1A) receptor and major psychiatric disorders, such as schizophrenia and bipolar disorder (BP), making the 5-HT1A receptor gene (HTR1A) a good candidate gene for the pathophysiology of schizophrenia and BP. To evaluate the association between HTR1A and schizophrenia and BP, we conducted a case-control study of Japanese population samples with two single- nucleotide polymorphisms (SNPs), including rs6295 (C-1019G) in HTR1A. In addition, we conducted a meta-analysis of rs6295, which has been examined in other studies. Using one functional single- nucleotide polymorphism (SNP; rs6295) and one tagging SNP (rs878567), we conducted a genetic association analysis of case-control samples (857 schizophrenic patients, 1028 BP patients and 1810 controls) in the Japanese population. Two association studies for schizophrenia and three association studies for BP, including this study, met our criteria for the meta-analysis of rs6295. We found an association between HTR1A and Japanese BP in a haplotype-wise analysis, the significance of which remained after Bonferroni correction. In addition, we detected an association between rs6295 and BP in the meta-analysis (fixed model: P(Z)=0.000400). However, we did not detect an association between HTR1A and schizophrenia in the allele/genotype-wise, haplotype-wise or meta-analysis. HTR1A may play an important role in the pathophysiology of BP, but not schizophrenia in the Japanese population. In the meta-analysis, rs6295 in HTR1A was associated with BP patients.