Journal article
Genetic variants associated with subjective well-being, depressive symptoms, and neuroticism identified through genome-wide analyses
Aysu Okbay, Bart ML Baselmans, Jan-Emmanuel De Neve, Patrick Turley, Michel G Nivard, Mark Alan Fontana, S Fleur W Meddens, Richard Karlsson Linner, Cornelius A Rietveld, Jaime Derringer, Jacob Gratten, James J Lee, Jimmy Z Liu, Ronald de Vlaming, Tarunveer S Ahluwalia, Jadwiga Buchwald, Alana Cavadino, Alexis C Frazier-Wood, Nicholas A Furlotte, Victoria Garfield Show all
Nature Genetics | NATURE PUBLISHING GROUP | Published : 2016
DOI: 10.1038/ng.3552
Abstract
Very few genetic variants have been associated with depression and neuroticism, likely because of limitations on sample size in previous studies. Subjective well-being, a phenotype that is genetically correlated with both of these traits, has not yet been studied with genome-wide data. We conducted genome-wide association studies of three phenotypes: subjective well-being (n = 298,420), depressive symptoms (n = 161,460), and neuroticism (n = 170,911). We identify 3 variants associated with subjective well-being, 2 variants associated with depressive symptoms, and 11 variants associated with neuroticism, including 2 inversion polymorphisms. The two loci associated with depressive symptoms rep..
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Awarded by Ragnar Soderberg Foundation
Awarded by Swedish Research Council
Awarded by ERC Consolidator Grant
Awarded by NIA/NIH
Awarded by Economic and Social Research Council
Awarded by Medical Research Council
Awarded by National Institute for Health Research
Awarded by Novo Nordisk Fonden
Awarded by EUNICE KENNEDY SHRIVER NATIONAL INSTITUTE OF CHILD HEALTH & HUMAN DEVELOPMENT
Awarded by NATIONAL CENTER FOR ADVANCING TRANSLATIONAL SCIENCES
Awarded by NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES
Awarded by NATIONAL INSTITUTE ON AGING
Awarded by NATIONAL INSTITUTE ON DRUG ABUSE
Funding Acknowledgements
We are grateful to P.M. Visscher for advice, support, and feedback. We thank S. Cunningham and N. Galla for research assistance. This research was carried out under the auspices of the Social Science Genetic Association Consortium (SSGAC). The SSGAC seeks to facilitate studies that investigate the influence of genes on human behavior, well-being, and social-scientific outcomes using large GWAS meta-analyses. The SSGAC also provides opportunities for replication and promotes the collection of accurately measured, harmonized phenotypes across cohorts. The SSGAC operates as a working group within the CHARGE Consortium. This research has also been conducted using the UK Biobank Resource. The study was supported by funding from the US National Science Foundation (EAGER: 'Workshop for the Formation of a Social Science Genetic Association Consortium'), a supplementary grant from the National Institute of Health Office of Behavioral and Social Science Research, the Ragnar Soderberg Foundation (E9/11), the Swedish Research Council (421-2013-1061), the Jan Wallander and Tom Hedelius Foundation, an ERC Consolidator Grant (647648 EdGe), the Pershing Square Fund of the Foundations of Human Behavior, and the NIA/NIH through grants P01-AG005842, P01-AG005842-20S2, P30-AG012810, and T32-AG000186-23 to NBER and R01-AG042568-02 to the University of Southern California. A full list of acknowledgments is provided in the Supplementary Note.