Candidate Gene For Schizophrenia Research Articles

No association between catechol-o-methyltransferase Val108/158Met polymorphism and schizophrenia or its clinical symptomatology in a Mexican population

The gene coding for catecol-o-methyltransferase (COMT), participant in the metabolism of catecholamines, has long been implicated as a candidate gene for schizophrenia. We determined the relation of the COMT Val108/158Met polymorphism with schizophrenia or its symptomatology (negative, disorganized and psychotic dimension). We conducted a case–control study comprising 186 patients with schizophrenia and 247 controls. The diagnosis of schizophrenia was established using the DSM-IV criteria for this illness. The clinical symptomatology was assessed through the Scale for the Assessment of Negative Symptoms and the Scale for the Assessment of Positive Symptoms. No significant differences were found in the distribution of alleles (χ2 = 0.01, df = 1, p = 0.90) or genotypes (χ2 = 1.66, df = 2, p = 0.43) between schizophrenic patients and the control group. Multivariate analysis showed that the COMT Val108/158Met polymorphism has no influence in the clinical symptomatology of schizophrenia. Our results showed no association between COMT Val108/158Met and schizophrenia or evidence for an association between COMT and the clinical symptomatology of this illness. This suggests that the COMT gene may not contribute to the risk for schizophrenia among the Mexican population.

DISC1 (disrupted-in-schizophrenia 1) is associated with cortical grey matter volumes in the human brain: A voxel-based morphometry (VBM) study

DISC1 (Disrupted-In-Schizophrenia 1), one of the top candidate genes for schizophrenia, has been associated with a range of major mental illnesses over the last two decades. DISC1 is crucially involved in neurodevelopmental processes of the human brain. Several haplotypes and single nucleotide polymorphisms of DISC1 have been associated with changes of grey matter volumes in brain regions known to be altered in schizophrenia and other psychiatric disorders. The aim of the present study was to investigate the effects of two single nucleotide polymorphisms (SNPs) of DISC1 on grey matter volumes in human subjects using voxel-based morphometry (VBM). 114/113 participating subjects (psychiatric patients and healthy controls) were genotyped with respect to two at-risk SNPs of DISC1, rs6675281 and rs821616. All participants underwent structural magnetic resonance imaging (MRI). MRI data was statistically analyzed using voxel-based morphometry. We found significant alterations of grey matter volumes in prefrontal and temporal brain regions in association with rs6675281 and rs821616. These effects of DISC1 polymorphisms on brain morphology provide further support for an involvement of DISC1 in the neurobiology of major psychiatric disorders such as schizophrenia.

Transcriptomic analysis of postmortem brain identifies dysregulated splicing events in novel candidate genes for schizophrenia

The diverse spatial and temporal expression of alternatively spliced transcript isoforms shapes neurodevelopment and plays a major role in neuronal adaptability. Although alternative splicing is extremely common in the brain, its role in mental illnesses such as schizophrenia has received little attention. To examine this relationship, postmortem brain tissue was obtained from 20 individuals with schizophrenia (SZ) and 20 neuropsychiatrically normal comparison subjects. Gray matter samples were extracted from two brain regions implicated in the disorder: Brodmann Area 10 and caudate. Affymetrix Human Gene 1.0 ST arrays were used on four subjects per group to attain an initial profile of differential expression of transcribed elements within and across brain regions in SZ. Numerous genes of interest with altered mRNA transcripts were identified by microarray through the differential expression of particular exons and 3′ untranslated regions (UTRs) between diagnostic groups. Select microarray results—including dysregulation of ENAH exon 11a and CPNE3 3′UTR—were verified by qRTPCR and replicated in the remaining independent sample of 16 SZ patients and 16 normal comparison subjects. These results, if further replicated, clearly illustrate the importance of Identifying transcriptomic variants in expression studies, and implicate novel candidate genes in the disorder.

Glutamate receptor delta 1 (GRID1) genetic variation and brain structure in schizophrenia

Common genetic variation in the promoter region of the glutamate receptor delta 1 (GRID1) gene has recently been shown to confer increased risk for schizophrenia in several independent large samples. We analysed high-resolution magnetic resonance imaging (MRI) data from 62 patients with schizophrenia and 54 healthy controls using voxel-based morphometry (VBM) to assess the effect of single nucleotide polymorphism rs3814614 (located in the GRID1 promoter region), of which the T allele was identified as a risk factor in a previous association study. There were no effects of genotype or group × genotype interactions on total brain grey matter or white matter, but on regional grey matter. In healthy subjects, we identified a significant effect of rs3814614 genotype in the anterior thalamus (bilaterally), superior prefrontal cortex, and orbitofrontal cortex – in all cases with the homozygous risk genotype TT resulting in higher grey matter density. We did not find this association within the schizophrenia sample, where rs3814614 variation was only associated with grey matter reduction in TT homozygous subjects in medial parietal cortex and increased grey matter in right medial cerebellum. For white matter, we did not find significant genotype effects in healthy controls, and only minor effects within schizophrenia patients in the posterior temporal lobe white matter. Our data indicate that GRID1 rs3814614 genotype is related to grey matter variation in prefrontal and anterior thalamic brain areas in healthy subjects, but not in patients indicating a potential role of this schizophrenia candidate gene in thalamo-cortical functioning.

No Association of Catechol-O-Methyltransferase Polymorphisms with Schizophrenia in the Han Chinese Population

Genetics play a major role in the etiology of schizophrenia (SZ). Catechol-O-methyltransferase (COMT) is one of the promising candidate genes for SZ. A nonsynonymous single-nucleotide polymorphism (SNP), rs4680, causing a Valine (Val) to Methionine (Met) substitution, has been widely studied in relation to psychiatric phenotypes, including SZ, but with conflicting results. We conducted a two-stage study to examine the association of COMT polymorphisms with SZ in the Han Chinese population. Association analysis of nine SNPs in 768 patients and 1348 controls failed to detect any positive markers or haplotypes. Then, we tested rs4680 in a validation sample of 963 patients and 992 controls, and no significant association was observed, but the cases significantly deviated from Hardy-Weinberg equilibrium (p=5.7e-4). There was no association of rs4680 with SZ in the combined sample (n=4071, p=0.110, odds ratio=1.08). Our results do not support the association of COMT with SZ in the Han Chinese population.

Genetic analysis of the DLGAP1 gene as a candidate gene for schizophrenia

Schizophrenia is a severe chronic mental disorder with high genetic components in its etiology. Several studies indicated that synaptic dysfunction is involved in the pathophysiology of schizophrenia. Postsynaptic synapse-associated protein 90/postsynaptic density 95-associated proteins (SAPAPs) constitute a part of the N-methyl-d-aspartate receptor-associated postsynaptic density proteins, and are involved in synapse formation. We hypothesized that genetic variants of the SAPAPs might be associated with schizophrenia. Thus, we systemically sequenced all the exons of the discs, large (Drosophila) homolog-associated protein 1 (DLGAP1) gene that encodes SAPAP1 in a sample of 121 schizophrenic patients and 120 controls from Taiwan. We totally identified six genetic variants, including five known SNPs (rs145691437, rs3786431, rs201567254, rs3745051 and rs11662259) and one rare missense mutation (c.1922A>G) in this sample. SNP- and haplotype-based analyses showed no association of these SNPs with schizophrenia. The c.1922A>G mutation that changes the amino acid lysine to arginine at codon 641 was found in one out of 121 patients, but not in 275 control subjects, suggesting it might be a patient-specific mutation. Nevertheless, bioinformatic analysis showed this mutation does not affect the function of the DLGAP1 gene and appears to be a benign variant. Hence, its relationship with the pathogenesis remains to be investigated.

Converging evidence that sequence variations in the novel candidate gene MAP2K7 (MKK7) are functionally associated with schizophrenia

Schizophrenia is a debilitating psychiatric disease with a strong genetic contribution, potentially linked to altered glutamatergic function in brain regions such as the prefrontal cortex (PFC). Here, we report converging evidence to support a functional candidate gene for schizophrenia. In post-mortem PFC from patients with schizophrenia, we detected decreased expression of MKK7/MAP2K7-a kinase activated by glutamatergic activity. While mice lacking one copy of the Map2k7 gene were overtly normal in a variety of behavioural tests, these mice showed a schizophrenia-like cognitive phenotype of impaired working memory. Additional support for MAP2K7 as a candidate gene came from a genetic association study. A substantial effect size (odds ratios: ~1.9) was observed for a common variant in a cohort of case and control samples collected in the Glasgow area and also in a replication cohort of samples of Northern European descent (most significant P-value: 3 × 10(-4)). While some caution is warranted until these association data are further replicated, these results are the first to implicate the candidate gene MAP2K7 in genetic risk for schizophrenia. Complete sequencing of all MAP2K7 exons did not reveal any non-synonymous mutations. However, the MAP2K7 haplotype appeared to have functional effects, in that it influenced the level of expression of MAP2K7 mRNA in human PFC. Taken together, the results imply that reduced function of the MAP2K7-c-Jun N-terminal kinase (JNK) signalling cascade may underlie some of the neurochemical changes and core symptoms in schizophrenia.

Reduced levels of serotonin 2A receptors underlie resistance of Egr3-deficient mice to locomotor suppression by clozapine.

The immediate-early gene early growth response 3 (Egr3) is associated with schizophrenia and expressed at reduced levels in postmortem patients' brains. We have previously reported that Egr3-deficient (Egr3(-/-)) mice display reduced sensitivity to the sedating effects of clozapine compared with wild-type (WT) littermates, paralleling the heightened tolerance of schizophrenia patients to antipsychotic side effects. In this study, we have used a pharmacological dissection approach to identify a neurotransmitter receptor defect in Egr3(-/-) mice that may mediate their resistance to the locomotor suppressive effects of clozapine. We report that this response is specific to second-generation antipsychotic agents (SGAs), as first-generation medications suppress the locomotor activity of Egr3(-/-) and WT mice to a similar degree. Further, in contrast to the leading theory that sedation by clozapine results from anti-histaminergic effects, we show that H1 histamine receptors are not responsible for this effect in C57BL/6 mice. Instead, selective serotonin 2A receptor (5HT(2A)R) antagonists ketanserin and MDL-11939 replicate the effect of SGAs, repressing the activity in WT mice at a dosage that fails to suppress the activity of Egr3(-/-) mice. Radioligand binding revealed nearly 70% reduction in 5HT(2A)R expression in the prefrontal cortex of Egr3(-/-) mice compared with controls. Egr3(-/-) mice also exhibit a decreased head-twitch response to 5HT(2A)R agonist 1-(2,5-dimethoxy 4-iodophenyl)-2-amino propane (DOI). These findings provide a mechanism to explain the reduced sensitivity of Egr3(-/-) mice to the locomotor suppressive effects of SGAs, and suggest that 5HT(2A)Rs may also contribute to the sedating properties of these medications in humans. Moreover, as the deficit in cortical 5HT(2A)R in Egr3(-/-) mice aligns with numerous studies reporting decreased 5HT(2A)R levels in the brains of schizophrenia patients, and the gene encoding the 5HT(2A)R is itself a leading schizophrenia candidate gene, these findings suggest a potential mechanism by which putative dysfunction in EGR3 in humans may influence risk for schizophrenia.

Association of MB-COMT polymorphisms with schizophrenia-susceptibility and symptom severity in an African cohort

The catechol-O-methyltransferase (COMT) gene is an attractive schizophrenia candidate gene, encoding a catabolic dopamine enzyme. The enzyme exists as two distinct isoforms, with the membrane bound enzyme (i.e. MB-COMT) being predominantly expressed in the brain. Since African populations remain underrepresented in genetic/genomic research, we performed an association study to determine whether MB-COMT genetic variants are associated with schizophrenia-susceptibility and symptom severity in the South African Xhosa population. Fourteen candidate polymorphisms were selected by means of a literature search and in silico analyses and were subsequently genotyped in a cohort of 238 Xhosa schizophrenia patients and 240 healthy Xhosa controls. Genetic association was tested with schizophrenia-susceptibility as well as symptom severity within the patient group. Polymorphisms of interest were also analysed using functional assays. Two SNPs, rs2020917 (OR=0.54, 95% CI 0.37-0.79; P=0.0011) and rs737865 (OR=0.52, 95% CI 0.36-0.74; P=0.0002), in the P2 promoter region were significantly associated with schizophrenia as well as an increase (increase=11.2%, 95% CI 3.7%-19.2%; P=0.0031) in reporter gene expression. The minor alleles of these SNPs were underrepresented in the schizophrenia cohort, indicating a possible protective effect. The P2 region also formed part of a haplotype found to be associated with the severity of the negative symptoms of the disorder. The data generated by this study indicate that genetic variation of MB-COMT could be associated with schizophrenia and negative symptom severity in the Xhosa population and may therefore be one of the genomic loci contributing towards the disorder in the South African community. Future large-scale studies in other African schizophrenia populations are required to further elucidate the significance of these findings.

Effect of SOX10 gene polymorphism on early onset schizophrenia in Chinese Han population

Schizophrenia is one of highly heritable psychiatric disorders. Patients with early onset schizophrenia tend to have a greater genetic loading and may be an attractive subpopulation for genetics studies. A single nucleotide polymorphism (SNP) rs139887 in sex-determining region Y-box 10 (SOX10), a candidate gene for schizophrenia, was suggested to be associated with schizophrenia although inconsistent results had been reported. The aim of this study was to evaluate the association between SOX10 rs139887 polymorphism and schizophrenia using an early onset sample in the Chinese Han population. A total of 321 schizophrenic patients with onset before age 18 and 400 healthy controls were recruited for association study. In addition, two populations involved in three studies were selected for meta-analysis to determine the effect of rs139887 on schizophrenia. Our association study results showed that the allele and genotype frequencies were significantly different between schizophrenic patients and controls (P=0.013 and P=0.034, respectively). Interestingly, a significant association in allele and genotype frequencies were found in male patients (P=0.017 and P=0.045, respectively), but not female patients. Moreover, the C/C genotype had a significant association with an earlier age of onset in male schizophrenic patients (Kaplan–Meier log-rank test P=0.029), but not in female patients (Kaplan–Meier log-rank test P=0.876). The meta-analysis result showed the same C allele was significantly associated with schizophrenia (P=0.007). In conclusion, the SOX10 rs139887 polymorphism was related to the development of schizophrenia in a gender-specific manner, and may be a significant genetic marker for managing subgroups and etiological clues in schizophrenia.

Convergent functional genomics of schizophrenia: from comprehensive understanding to genetic risk prediction.

We have used a translational convergent functional genomics (CFG) approach to identify and prioritize genes involved in schizophrenia, by gene-level integration of genome-wide association study data with other genetic and gene expression studies in humans and animal models. Using this polyevidence scoring and pathway analyses, we identify top genes (DISC1, TCF4, MBP, MOBP, NCAM1, NRCAM, NDUFV2, RAB18, as well as ADCYAP1, BDNF, CNR1, COMT, DRD2, DTNBP1, GAD1, GRIA1, GRIN2B, HTR2A, NRG1, RELN, SNAP-25, TNIK), brain development, myelination, cell adhesion, glutamate receptor signaling, G-protein–coupled receptor signaling and cAMP-mediated signaling as key to pathophysiology and as targets for therapeutic intervention. Overall, the data are consistent with a model of disrupted connectivity in schizophrenia, resulting from the effects of neurodevelopmental environmental stress on a background of genetic vulnerability. In addition, we show how the top candidate genes identified by CFG can be used to generate a genetic risk prediction score (GRPS) to aid schizophrenia diagnostics, with predictive ability in independent cohorts. The GRPS also differentiates classic age of onset schizophrenia from early onset and late-onset disease. We also show, in three independent cohorts, two European American and one African American, increasing overlap, reproducibility and consistency of findings from single-nucleotide polymorphisms to genes, then genes prioritized by CFG, and ultimately at the level of biological pathways and mechanisms. Finally, we compared our top candidate genes for schizophrenia from this analysis with top candidate genes for bipolar disorder and anxiety disorders from previous CFG analyses conducted by us, as well as findings from the fields of autism and Alzheimer. Overall, our work maps the genomic and biological landscape for schizophrenia, providing leads towards a better understanding of illness, diagnostics and therapeutics. It also reveals the significant genetic overlap with other major psychiatric disorder domains, suggesting the need for improved nosology.

Structural and functional neuroimaging phenotypes in dysbindin mutant mice

Schizophrenia is a highly heritable psychiatric disorder that is associated with a number of structural and functional neurophenotypes. DTNBP1, the gene encoding dysbindin-1, is a promising candidate gene for schizophrenia. Use of a mouse model carrying a large genomic deletion exclusively within the dysbindin gene permits a direct investigation of the gene in isolation. Here, we use manganese-enhanced magnetic resonance imaging (MEMRI) to explore the regional alterations in brain structure and function caused by loss of the gene encoding dysbindin-1. We report novel findings that uniquely inform our understanding of the relationship of dysbindin-1 to known schizophrenia phenotypes. First, in mutant mice, analysis of the rate of manganese uptake into the brain over a 24-hour period, putatively indexing basal cellular activity, revealed differences in dopamine rich brain regions, as well as in CA1 and dentate subregions of the hippocampus formation. Finally, novel tensor-based morphometry techniques were applied to the mouse MRI data, providing evidence for structural volume deficits in cortical regions, subiculum and dentate gyrus, and the striatum of dysbindin mutant mice. The affected cortical regions were primarily localized to the sensory cortices in particular the auditory cortex. This work represents the first application of manganese-enhanced small animal imaging to a mouse model of schizophrenia endophenotypes, and a novel combination of functional and structural measures. It revealed both hypothesized and novel structural and functional neural alterations related to dysbindin-1.

Association between SNPs and gene expression in multiple regions of the human brain

Identifying the genetic cis associations between DNA variants (single-nucleotide polymorphisms (SNPs)) and gene expression in brain tissue may be a promising approach to find functionally relevant pathways that contribute to the etiology of psychiatric disorders. In this study, we examined the association between genetic variations and gene expression in prefrontal cortex, hippocampus, temporal cortex, thalamus and cerebellum in subjects with psychiatric disorders and in normal controls. We identified cis associations between 648 transcripts and 6725 SNPs in the various brain regions. Several SNPs showed brain regional-specific associations. The expression level of only one gene, PDE4DIP, was associated with a SNP, rs12124527, in all the brain regions tested here. From our data, we generated a list of brain cis expression quantitative trait loci (eQTL) genes that we compared with a list of schizophrenia candidate genes downloaded from the Schizophrenia Forum (SZgene) database (http://www.szgene.org/). Of the SZgene candidate genes, we found that the expression levels of four genes, HTR2A, PLXNA2, SRR and TCF4, were significantly associated with cis SNPs in at least one brain region tested. One gene, SRR, was also involved in a coexpression module that we found to be associated with disease status. In addition, a substantial number of cis eQTL genes were also involved in the module, suggesting eQTL analysis of brain tissue may identify more reliable susceptibility genes for schizophrenia than case–control genetic association analyses. In an attempt to facilitate the identification of genetic variations that may underlie the etiology of major psychiatric disorders, we have integrated the brain eQTL results into a public and online database, Stanley Neuropathology Consortium Integrative Database (SNCID; http://sncid.stanleyresearch.org).

Brain-derived neurotrophic factor Val66Met polymorphism and obsessive-compulsive symptoms in Egyptian schizophrenia patients

BackgroundBrain-derived neurotrophic factor (BDNF) has been advanced as a candidate gene for schizophrenia. BDNF promote the function and growth of 5-HT neurons in the brain and modulate the synaptic plasticity of DRD3-secreting neurons in the striatum, suggesting involvement of BDNF in the mediation of obsessive-compulsive disorder. ObjectivesTo test the hypothesis that the BDNF Val66Met polymorphism influence obsessive-compulsive symptoms (OCS) in schizophrenia, we examined the association between the BDNF Val66Met genotypes and OCS in a group of patients with schizophrenia. Methods320 schizophrenia patients were assessed using the Yale–Brown Obsessive-Compulsive Scale (YBOCS). BDNF Val66Met polymorphism was genotyped using PCR-RFLP method, and severity of OCS were compared between the genotype groups. ResultsOut of the 320 schizophrenia patients, 120 patients (37.5%) had significant OCS. There was a significant excess of valine allele in the schizophrenia with-OCS group compared to the without-OCS group. The mean YBOCS scores were significantly different among the three genotype groups. Val/Val homozygote patients had higher mean YBOCS scores compared to Val/Met genotype (p = 0.0001) as well as to the Met/Met homozygote group (p = 0.003). ConclusionOur data suggested an association between BDNF Val66Met polymorphism and OCS in Egyptian schizophrenia patients.

DOCK4 and CEACAM21 as novel schizophrenia candidate genes in the Jewish population

It is well accepted that schizophrenia has a strong genetic component. Several genome-wide association studies (GWASs) of schizophrenia have been published in recent years; most of them population based with a case-control design. Nevertheless, identifying the specific genetic variants which contribute to susceptibility to the disorder remains a challenging task. A family-based GWAS strategy may be helpful in the identification of schizophrenia susceptibility genes since it is protected against population stratification, enables better accounting for genotyping errors and is more sensitive for identification of rare variants which have a very low frequency in the general population. In this project we implemented a family-based GWAS of schizophrenia in a sample of 107 Jewish-Israeli families. We found one genome-wide significant association in the intron of the DOCK4 gene (rs2074127, p value=1.134×10⁻⁷) and six additional nominally significant association signals with p<1×10⁻⁵. One of the top single nucleotide polymorphisms (p<1×10⁻⁵) which is located in the predicted intron of the CEACAM21 gene was significantly replicated in independent family-based sample of Arab-Israeli origin (rs4803480: p value=0.002; combined p value=9.61×10⁻⁸), surviving correction for multiple testing. Both DOCK4 and CEACAM21 are biologically reasonable candidate genes for schizophrenia although generalizability of the association of DOCK4 with schizophrenia should be investigated in further studies. In addition, gene-wide significant associations were found within three schizophrenia candidate genes: PGBD1, RELN and PRODH, replicating previously reported associations. By application of a family-based strategy to GWAS, our study revealed new schizophrenia susceptibility loci in the Jewish-Israeli population.

A re‐review of the association between the NOTCH4 locus and schizophrenia

NOTCH4 has long been identified as a candidate susceptibility gene for schizophrenia, but the collective body of genetic association studies of this gene has been less than conclusive. Recently a variant in NOTCH4 was implicated as one of the most reliably associated polymorphisms observed in a genome-wide association scan of the disorder, and the collective evidence for this polymorphism now surpasses criteria for genome-wide significance. To place these developments in context, we now summarize the initial work identifying NOTCH4 as a candidate gene for schizophrenia. The results of the genome-wide association studies that have confirmed this as a risk gene, and novel bioinformatics analyses that reveal potential functional profiles of the most likely risk-conferring polymorphisms. These analyses suggest that the NOTCH4 polymorphisms most strongly associated with schizophrenia exert their effects on susceptibility by altering the efficiency and/or alternative splicing of Notch4 transcripts. Further experimental evidence should be pursued to clarify the NOTCH4-regulated molecular and cellular phenotypes of relevance to the disorder, and the functional consequences of the implicated polymorphisms in the gene.

Oxytocin and vasopressin genes are significantly associated with schizophrenia in a large Arab-Israeli pedigree

We have previously studied the genetics of schizophrenia in a large inbred Arab-Israeli pedigree and found evidence for linkage on chromosome 20p13. This locus harbours four strong candidate genes for schizophrenia: atractin (ATRN), pantonate-kinase2 (PANK2), oxytocin (OXT) and arginine-vasopressin (AVP). In this study we further explored the association of these genes with schizophrenia in the pedigree and searched for the disease-causing variants. A mutation screening of affected individuals from the pedigree was performed by using intensive sequencing in these four genes of interest. Then, we studied the prevalence of the identified variants in all family members (n=56) as well as in Arab-Israeli nuclear families (n=276) and a Jewish case-control sample (n=545). We also studied the possible functional role of these variants by examining their association with gene expression in the brain (n=104). We identified seven genetic variants in the OXT-AVP cluster in affected individuals from the pedigree. Three of these variants were significantly associated with schizophrenia in this pedigree. A 7-SNP haplotype was also significantly associated with disease. We found significant association of some of these variants in the two samples from the general population. Expression data analysis showed a possible functional role of two of these variants in regulation of gene expression. Involvement of OXT and AVP in the aetiology of schizophrenia has been suggested in the past. This study demonstrates, for the first time, a significant genetic association of these neuropeptides with schizophrenia and strongly supports this hypothesis.

Expression QTL analysis of top loci from GWAS meta-analysis highlights additional schizophrenia candidate genes

There is genetic evidence that schizophrenia is a polygenic disorder with a large number of loci of small effect on disease susceptibility. Genome-wide association studies (GWASs) of schizophrenia have had limited success, with the best finding at the MHC locus at chromosome 6p. A recent effort of the Psychiatric GWAS consortium (PGC) yielded five novel loci for schizophrenia. In this study, we aim to highlight additional schizophrenia susceptibility loci from the PGC study by combining the top association findings from the discovery stage (9394 schizophrenia cases and 12 462 controls) with expression QTLs (eQTLs) and differential gene expression in whole blood of schizophrenia patients and controls. We examined the 6192 single-nucleotide polymorphisms (SNPs) with significance threshold at P<0.001. eQTLs were calculated for these SNPs in a sample of healthy controls (n=437). The transcripts significantly regulated by the top SNPs from the GWAS meta-analysis were subsequently tested for differential expression in an independent set of schizophrenia cases and controls (n=202). After correction for multiple testing, the eQTL analysis yielded 40 significant cis-acting effects of the SNPs. Seven of these transcripts show differential expression between cases and controls. Of these, the effect of three genes (RNF5, TRIM26 and HLA-DRB3) coincided with the direction expected from meta-analysis findings and were all located within the MHC region. Our results identify new genes of interest and highlight again the involvement of the MHC region in schizophrenia susceptibility.

Analysis of the VAV3 as Candidate Gene for Schizophrenia: Evidences From Voxel-Based Morphometry and Mutation Screening

In recently completed Japanese genome-wide association studies (GWAS) of schizophrenia (JPN_GWAS) one of the top association signals was detected in the region of VAV3, a gene that maps to the chromosome 1p13.3. In order to complement JPN_GWAS findings, we tested the association of rs1410403 with brain structure in healthy individuals and schizophrenic patients and performed exon resequencing of VAV3. We performed voxel-based morphometry (VBM) and mutation screening of VAV3. Four independent samples were used in the present study: (1) for VBM analysis, we used case-control sample comprising 100 patients with schizophrenia and 264 healthy controls, (2) mutation analysis was performed on a total of 321 patients suffering from schizophrenia, and 2 case-control samples (3) 729 unrelated patients with schizophrenia and 564 healthy comparison subjects, and (4) sample comprising 1511 cases and 1517 healthy comparison subjects and were used for genetic association analysis of novel coding variants with schizophrenia. The VBM analysis suggests that rs1410403 might affect the volume of the left superior and middle temporal gyri (P=.011 and P=.013, respectively), which were reduced in patients with schizophrenia compared with healthy subjects. Moreover, 4 rare novel missense variants were detected. The mutations were followed-up in large independent sample, and one of the novel variants (Glu741Gly) was associated with schizophrenia (P=.02). These findings demonstrate that VAV3 can be seen as novel candidate gene for schizophrenia in which both rare and common variants may be related to increased genetic risk for schizophrenia in Japanese population.

Evidence of IQ-Modulated Association Between ZNF804A Gene Polymorphism and Cognitive Function in Schizophrenia Patients

ZNF804A gene polymorphism rs1344706 has been suggested as the most compelling case of a candidate gene for schizophrenia by a genome-wide association study and several replication studies. The current study of 570 schizophrenia patients and 448 controls again found significantly different genotype frequencies of rs1344706 between patients and controls. More important, we found that this association was modulated by IQ, with a stronger association among individuals with relatively high IQ, which replicated results of Walters et al, 2010. We further examined whether this IQ-modulated association also existed between the SNP and the intermediate phenotypes (working memory and executive functions) of schizophrenia. Data were available from an N-back task (366 patients and 414 controls) and the attention network task (361 patients and 416 controls). We found that the SNP and IQ had significant interaction effects on the intermediate phenotypes for patients, but not for controls. The disease risk allele was associated with poorer cognitive function in patients with high IQ, but better cognitive function in patients with low IQ. Together, these results indicated that IQ may modulate the role of rs1344706 in the etiology of both schizophrenia and its cognitive impairments, and pointed to the necessity of considering general cognitive function as indexed by IQ in the future studies of genetic bases of schizophrenia.