Summary statistics for three depression phenotypes in UK Biobank
Type
datasetData Creator
Howard, DavidAdams, Mark
Shirali, Masoud
Clarke, Toni-Kim
Marioni, Riccardo
Davies, Gail
Coleman, Jonathan
Alloza, Clara
Shen, Xueyi
Barbu, Miruna
Wigmore, Eleanor
Gibson, Jude
23andMe Research Team
Hagenaars, Saskia
Lewis, Cathryn
Ward, Joey
Smith, Daniel
Sullivan, Patrick
Haley, Chris
Breen, Gerome
Deary, Ian
McIntosh, Andrew
Publisher
University of EdinburghRelation (Is Referenced By)
https://www.nature.com/articles/s41467-018-03819-3Metadata
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Citation
Howard, David; Adams, Mark; Shirali, Masoud; Clarke, Toni-Kim; Marioni, Riccardo; Davies, Gail; Coleman, Jonathan; Alloza, Clara; Shen, Xueyi; Barbu, Miruna; Wigmore, Eleanor; Gibson, Jude; 23andMe Research Team; Hagenaars, Saskia; Lewis, Cathryn; Ward, Joey; Smith, Daniel; Sullivan, Patrick; Haley, Chris; Breen, Gerome; Deary, Ian; McIntosh, Andrew. (2018). Summary statistics for three depression phenotypes in UK Biobank, [dataset]. University of Edinburgh. https://doi.org/10.7488/ds/2350.Description
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 behavior, postsynapse, 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.The following licence files are associated with this item: