生命银行
表型
全基因组关联研究
生物
萧条(经济学)
重性抑郁障碍
遗传关联
遗传学
神经科学
兴奋性突触后电位
基因
生物信息学
单核苷酸多态性
基因型
经济
认知
受体
宏观经济学
作者
David M. Howard,Mark J. Adams,Masoud Shirali,Toni‐Kim Clarke,Riccardo E. Marioni,Gail Davies,Jonathan R. I. Coleman,Clara Alloza,Xueyi Shen,Miruna C. Barbu,Eleanor M. Wigmore,Jude Gibson,Michelle Agee,Babak Alipanahi,Adam Auton,Robert K. Bell,Katarzyna Bryc,Sarah L. Elson,Pierre Fontanillas,Nicholas A. Furlotte
标识
DOI:10.1038/s41467-018-03819-3
摘要
Abstract Depression is a polygenic trait that causes extensive periods of disability. Previous genetic studies have identified common risk variants which have progressively increased in number with increasing sample sizes of the respective studies. Here, we conduct a genome-wide association study in 322,580 UK Biobank participants for three depression-related phenotypes: broad depression, probable major depressive disorder (MDD), and International Classification of Diseases (ICD, version 9 or 10)-coded MDD. We identify 17 independent loci that are significantly associated ( P < 5 × 10 −8 ) across the three phenotypes. The direction of effect of these loci is consistently replicated in an independent sample, with 14 loci likely representing novel findings. Gene sets are enriched in excitatory neurotransmission, mechanosensory behaviour, post synapse, neuron spine and dendrite functions. Our findings suggest that broad depression is the most tractable UK Biobank phenotype for discovering genes and gene sets that further our understanding of the biological pathways underlying depression.
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