Genome-wide association study identifies 30 loci associated with bipolar disorder
eQTLGen Consortium; BIOS Consortium; the Bipolar Disorder Working Group of the Psychiatric Genomics Consortium
(2019) Nature Genetics, volume 51, issue 5, pp. 793 - 803
(Article)
Abstract
Bipolar disorder is a highly heritable psychiatric disorder. We performed a genome-wide association study (GWAS) including 20,352 cases and 31,358 controls of European descent, with follow-up analysis of 822 variants with P < 1 × 10 -4 in an additional 9,412 cases and 137,760 controls. Eight of the 19 variants that were genome-wide significant
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(P < 5 × 10 -8) in the discovery GWAS were not genome-wide significant in the combined analysis, consistent with small effect sizes and limited power but also with genetic heterogeneity. In the combined analysis, 30 loci were genome-wide significant, including 20 newly identified loci. The significant loci contain genes encoding ion channels, neurotransmitter transporters and synaptic components. Pathway analysis revealed nine significantly enriched gene sets, including regulation of insulin secretion and endocannabinoid signaling. Bipolar I disorder is strongly genetically correlated with schizophrenia, driven by psychosis, whereas bipolar II disorder is more strongly correlated with major depressive disorder. These findings address key clinical questions and provide potential biological mechanisms for bipolar disorder.
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Keywords: Bipolar Disorder/classification, Case-Control Studies, Depressive Disorder, Major/genetics, Female, Genetic Loci, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Male, Polymorphism, Single Nucleotide, Psychotic Disorders/genetics, Schizophrenia/genetics, Systems Biology, Genetics, Research Support, Non-U.S. Gov't, Meta-Analysis, Research Support, N.I.H., Intramural, Journal Article
ISSN: 1061-4036
Publisher: Nature Publishing Group
Note: Funding Information: This paper is dedicated to the memory of Psychiatric Genomics Consortium (PGC) founding member and Bipolar Disorder Working Group co-chair Pamela Sklar. We thank the participants who donated their time, experiences and DNA to this research, and the clinical and scientific teams that worked with them. We are deeply indebted to the investigators who comprise the PGC. Analyses were carried out on the NL Genetic Cluster Computer (http://www.geneticcluster.org), hosted by SURFsara, and the Mount Sinai high performance computing cluster (http://hpc.mssm.edu). PGC members have received major funding from the US National Institute of Mental Health. This work was funded in part by the Brain and Behavior Research Foundation, Stanley Medical Research Institute, University of Michigan, Pritzker Neuropsychiatric Disorders Research Fund L.L.C., Marriot Foundation and the Mayo Clinic Center for Individualized Medicine, the NIMH Intramural Research Program; Canadian Institutes of Health Research; the UK Maudsley NHS Foundation Trust, NIHR, NRS, MRC, Wellcome Trust; European Research Council; German Ministry for Education and Research, German Research Foundation IZKF of Münster, Deutsche Forschungsgemeinschaft, ImmunoSensation, the Dr Lisa-Oehler Foundation, University of Bonn; the Swiss National Science Foundation; French Foundation FondaMental and ANR; Spanish Ministerio de Economía, CIBERSAM, Industria y Competitividad, European Regional Development Fund (ERDF), Generalitat de Catalunya, EU Horizon 2020 Research and Innovation Programme; BBMRI-NL; South-East Norway Regional Health Authority and Mrs Throne-Holst; Swedish Research Council, Stockholm County Council, Söderström Foundation; Lundbeck Foundation, Aarhus University; Australia NHMRC, NSW Ministry of Health, Janette M. O’Neil and Betty C. Lynch. The views expressed are those of the authors and not necessarily those of their institutions or any funding or regulatory bodies. Additional acknowledgements, including funding sources, are presented in the Supplementary Note. Publisher Copyright: © 2019, The Author(s), under exclusive licence to Springer Nature America, Inc.
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