Genome-wide association analysis identifies 13 new risk loci for schizophrenia

1] Analytical and Translational Genetics Unit, Massachusetts General Hospital, Boston, Massachusetts, USA. [2] Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA. [3].
Nature Genetics (Impact Factor: 29.35). 10/2013; 45(10). DOI: 10.1038/ng.2742


Schizophrenia is an idiopathic mental disorder with a heritable component and a substantial public health impact. We conducted a multi-stage genome-wide association study (GWAS) for schizophrenia beginning with a Swedish national sample (5,001 cases and 6,243 controls) followed by meta-analysis with previous schizophrenia GWAS (8,832 cases and 12,067 controls) and finally by replication of SNPs in 168 genomic regions in independent samples (7,413 cases, 19,762 controls and 581 parent-offspring trios). We identified 22 loci associated at genome-wide significance; 13 of these are new, and 1 was previously implicated in bipolar disorder. Examination of candidate genes at these loci suggests the involvement of neuronal calcium signaling. We estimate that 8,300 independent, mostly common SNPs (95% credible interval of 6,300-10,200 SNPs) contribute to risk for schizophrenia and that these collectively account for at least 32% of the variance in liability. Common genetic variation has an important role in the etiology of schizophrenia, and larger studies will allow more detailed understanding of this disorder.

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    • "In 2013, the Psychiatric Genetic Consortium (PGC) published the largest GWAS to date with an initial discovery sample of 21 856 individuals and a replication sample of 29 839 individuals (Ripke et al. 2013). Their strongest finding was located in the primary transcript of hsa-miR-137 (miR-137). "
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    ABSTRACT: Schizophrenia (SZ) and bipolar disorder (BD) have substantial negative impact on the quality of human life. Both, microRNA (miRNA) expression profiling in SZ and BD postmortem brains [and genome-wide association studies (GWAS)] have implicated miRNAs in disease etiology. Here, we aim to determine whether significant GWAS signals observed in the Psychiatric Genetic Consortium (PGC) are enriched for miRNAs. A two-stage approach was used to determine whether association signals from PGC affect miRNAs: (i) statistical assessment of enrichment using a Simes test and sum of squares test (SST) and (ii) biological evidence that quantitative trait loci (eQTL) mapping to known miRNA genes affect their expression in an independent sample of 78 postmortem brains from the Stanley Medical Research Institute. A total of 2567 independent single nucleotide polymorphisms (SNPs) (R 2 > 0.8) were mapped locally, within 1 Mb, to all known miRNAs (miRBase v. 21). We show robust enrichment for SZ- and BD-related SNPs with miRNAs using Simes (SZ: p ≤ 0.0023, BD: p ≤ 0.038), which remained significant after adjusting for background inflation in SZ (empirical p = 0.018) and approached significance in BD (empirical p = 0.07). At a false discovery rate of 10%, we identified a total of 32 eQTLs to influence miRNA expression; 11 of these overlapped with BD. Our approach of integrating PGC findings with eQTL results can be used to generate specific hypotheses regarding the role of miRNAs in SZ and BD.
    Psychological Medicine 03/2015; 45(12):1-13. DOI:10.1017/S0033291715000483 · 5.94 Impact Factor
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    • "All of the subjects were of European ancestry. Detailed information about sample description, including diagnostic assessments, genotyping, quality control and statistical analysis can be found in the original publication (Ripke et al., 2013). For replication analysis, we recruited two independent schizophrenia caseecontrol samples and five family-based samples from different populations. "
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    ABSTRACT: Schizophrenia is a brain disorder with high heritability. Recent studies have implicated genes involved in the immune response pathway in the pathogenesis of schizophrenia. Interferon regulatory factor 3 (IRF3), a virus-immune-related gene, activates the transcription of several interferon-induced genes, and functionally interacts with several schizophrenia susceptibility genes. To test whether IRF3 is a schizophrenia susceptibility gene, we analyzed the associations of its SNPs with schizophrenia in independent population samples as well as reported data from expression quantitative trait loci (eQTL) in healthy individuals. We observed multiple independent SNPs in IRF3 showing nominally significant associations with schizophrenia (P < 0.05); more intriguingly, a SNP (rs11880923), which is significantly correlated with IRF3 expression in independent samples (P < 0.05), is also consistently associated with schizophrenia across different cohorts and in combined samples (odds ratio = 1.075, Pmeta = 2.08 × 10(-5)), especially in Caucasians (odds ratio = 1.078, Pmeta = 2.46 × 10(-5)). These results suggested that IRF3 is likely a risk gene for schizophrenia, at least in Caucasians. Although the clinical associations of IRF3 with diagnosis did not achieve genome-wide level of statistical significance, the observed odds ratio is comparable with other susceptibility loci identified through large-scale genetic association studies on schizophrenia, which could be regarded simply as small but detectable effects. Copyright © 2015 Elsevier Ltd. All rights reserved.
    Journal of Psychiatric Research 03/2015; 64. DOI:10.1016/j.jpsychires.2015.03.008 · 3.96 Impact Factor
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    • "In this study, we found that early life adverse events, namely severity of childhood maltreatment as well as BPD, were associated with several CpGs located within or near genes involved in several biological functions such as inflammatory processes (IL17RA), regulation of gene expression (miR124-3), neuronal excitability and development or maintenance of the nervous system (KCNQ2 and EFNB1), structure of cell and regulation of cell functions such as molecule transport through cell membranes, calcium-ion-dependent exocytosis in both endocrine and exocrine cells, cycle progression , signal transduction, apoptosis and gene regulation (OCA2, MFAP2, RPH3AL and WDR60), and other biological functions (CST9L, EP400, A2ML1, NT5DC2, FAM163A and SPSB2). Several of these genes have previously been found to be associated with neuropsychiatric disorders, such as KCNQ2, which is involved in bipolar disorder (Judy et al. 2013), or NT5DC2, previously found to be associated with schizophrenia (Ripke et al. 2013). In addition, NT5DC2 is a target of miR137, one of the genes found to be associated with childhood maltreatment in our sample (see Table 4). "
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    ABSTRACT: Early life adversity plays a critical role in the emergence of borderline personality disorder (BPD) and this could occur through epigenetic programming. In this perspective, we aimed to determine whether childhood maltreatment could durably modify epigenetic processes by the means of a whole-genome methylation scan of BPD subjects.Using the Illumina Infinium® HumanMethylation450 BeadChip, global methylation status of DNA extracted from peripheral blood leucocytes was correlated to the severity of childhood maltreatment in 96 BPD subjects suffering from a high level of child adversity and 93 subjects suffering from major depressive disorder (MDD) and reporting a low rate of child maltreatment.Several CpGs within or near the following genes (IL17RA, miR124-3, KCNQ2, EFNB1, OCA2, MFAP2, RPH3AL, WDR60, CST9L, EP400, A2ML1, NT5DC2, FAM163A, SPSB2) were found to be differently methylated, either in BPD compared to MDD or in relation to the severity of childhood maltreatment. A highly relevant biological result was observed for cg04927004 close to miR124-3 that was significantly associated with BPD and severity of childhood maltreatment. miR124-3 codes for a microRNA (miRNA) targeting several genes previously found to be associated with BPD such as NR3C1.Our results highlight the potentially important role played by miRNAs in the etiology of neuropsychiatric disorders such as BPD and the usefulness of using methylome-wide association studies to uncover such candidate genes. Moreover, they offer new understanding of the impact of maltreatments on biological processes leading to diseases and may ultimately result in the identification of relevant biomarkers.
    Genes Brain and Behavior 01/2015; 14(2). DOI:10.1111/gbb.12197 · 3.66 Impact Factor
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