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Copy number variants (CNVs) conferring risk of schizophrenia present incomplete penetrance, suggesting the existence of second genetic hits. Identification of second hits may help to find genes with rare variants of susceptibility to schizophrenia. The aim of this work was to search for second hits of moderate/high risk in schizophrenia carriers of risk CNVs and resequencing of the relevant genes in additional samples. To this end, ten patients with risk CNVs at cytobands 15q11.2, 15q11.2-13.1, 16p11.2, or 16p13.11, were subjected to whole-exome sequencing. Rare single nucleotide variants, defined as those absent from main public databases, were classified according to bioinformatic prediction of pathogenicity by CADD scores. The average number of rare predicted pathogenic variants per sample was 13.6 (SD 2.01). Two genes, BFAR and SYNJ1, presented rare predicted pathogenic variants in more than one sample. Follow-up resequencing of these genes in 432 additional cases and 432 controls identified a significant excess of rare predicted pathogenic variants in case samples at SYNJ1. Taking into account its function in clathrin-mediated synaptic vesicle endocytosis at presynaptic terminals, our results suggest an impairment of this process in schizophrenia. [ABSTRACT FROM AUTHOR]

A fraction of genetic risk to develop schizophrenia may be due to low-frequency variants. This multistep study attempted tofind low-frequency variants of high effect at coding regions of eleven schizophrenia susceptibility genes supported by genome-wide association studies (GWAS) and nine genes for the DISC1 interactome, a susceptibility gene-set. During the discovery step, a total of 125 kb per sample were resequenced in 153 schizophrenia patients and 153 controls from Galicia (NW Spain), and the cumulative role of low-frequency variants at a gene or at the DISC1 gene-set were analyzed by burden and variance-based tests. Relevant results were meta-analyzed when appropriate data were available. In addition, case-only putative damaging variants were genotyped in a further 419 cases and 398 controls. The discovery step revealed a protective effect of rare missense variants at NRXN1, a result supported by meta-analysis (OR = 0.67, 95% CI: 0.47-0.94, P = 0.021, based on 3848 patients and 3896 controls from six studies). The follow-up step based on case-only putative damaging variants revealed a promising risk variant at AKAP9. This variant, K873R, reached nominal significance after inclusion of 240 additional Spanish controls from databases. The variant, located in an ADCY2 binding region, is absent from large public databases. Interestingly, GWAS revealed an association between common ADCY2 variants and bipolar disorder, a disorder with considerable genetic overlap with schizophrenia. These data suggest a role of rare missense variants at NRXN1 and AKAP9 in schizophrenia susceptibility, probably related to alteration of the excitatory/inhibitory synaptic balance, deserving further investigation. [ABSTRACT FROM AUTHOR]

Background: Genome-wide association studies using several hundred thousand anonymous markers present limited statistical power. Alternatively, association studies restricted to common nonsynonymous single nucleotide polymorphisms (nsSNPs) have the advantage of strongly reducing the multiple testing problem, while increasing the probability of testing functional single nucleotide polymorphisms (SNPs). Methods: We performed a case-control association study of common nsSNPs in Galician (northwest Spain) samples using the Affymetrix GeneChip Human 20k cSNP Kit, followed by a replication study of the more promising results. After quality control procedures, the discovery sample consisted of 5100 nsSNPs at minor allele frequency >5% analyzed in 476 schizophrenia patients and 447 control subjects. The replication sample consisted of 4069 cases and 15,128 control subjects of European origin. We also performed multilocus analysis, using aggregated scores of nsSNPs at liberal significance thresholds and cross-validation procedures. Results: The 5 independent nsSNPs with false discovery rate q ≤ .25, as well as 13 additional nsSNPs at p < .01 and located in functional candidate genes, were genotyped in the replication samples. One SNP, rs13107325, located at the metal ions transporter gene SLC39A8, reached significance in the combined sample after Bonferroni correction (trend test, p = 2.7 × 10−6, allelic odds ratio = 1.32). This SNP presents minor allele frequency of 5% to 10% in many European populations but is rare outside Europe. We also confirmed the polygenic component of susceptibility. Conclusions: Taking into account that another metal ions transporter gene, SLC39A3, is associated to bipolar disorder, our findings reveal a role for brain metal homeostasis in psychosis. [Copyright &y& Elsevier]

Abstract: Catechol-O-methyltransferase (COMT) has been largely studied in relation to schizophrenia susceptibility. Most studies focused on the functional single nucleotide polymorphism (SNP) rs4680 that causes a substitution of Val by Met at codon 158 of the COMT protein. Recent meta-analyses do not support an association between allelic variants at rs4680 and schizophrenia. However, the putative role of overdominance has not been tested in meta-analyses, despite its biological plausibility. In this work, we tested the overdominant model in two Spanish samples (from Valencia and Santiago de Compostela), representing a total of 762 schizophrenic patients and 1042 controls, and performed a meta-analysis of the available studies under this model. A total of 51 studies comprising 13,894 schizophrenic patients and 16,087 controls were included in the meta-analysis, that revealed a small but significant protective effect for heterozygosity at rs4680 (pooled OR=0.947, P =0.023). Post-hoc analysis on southwestern European samples suggested a stronger effect in these populations (pooled OR=0.813, P =0.0009). Thus, the COMT functional polymorphism rs4680 contributes to schizophrenia genetic susceptibility under an overdominant model, indicating that both too high and too low levels of dopamine (DA) signalling may be risk factors. This effect can be modulated by genetic background [ABSTRACT FROM AUTHOR]