Genome-wide association study of depression phenotypes in UK Biobank identifies variants in excitatory synaptic pathways

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, Saskia P. Hagenaars, Cathryn M. Lewis, Joey Ward, Daniel J. Smith, Patrick F. Sullivan, Chris S. Haley, Gerome Breen, Ian J. Deary and Andrew M. McIntosh
Additional contact information
David M. Howard: University of Edinburgh
Mark J. Adams: University of Edinburgh
Masoud Shirali: University of Edinburgh
Toni-Kim Clarke: University of Edinburgh
Riccardo E. Marioni: University of Edinburgh
Gail Davies: University of Edinburgh
Jonathan R. I. Coleman: King’s College London
Clara Alloza: University of Edinburgh
Xueyi Shen: University of Edinburgh
Miruna C. Barbu: University of Edinburgh
Eleanor M. Wigmore: University of Edinburgh
Jude Gibson: University of Edinburgh
Saskia P. Hagenaars: King’s College London
Cathryn M. Lewis: King’s College London
Joey Ward: University of Glasgow
Daniel J. Smith: University of Glasgow
Patrick F. Sullivan: Karolinska Institutet
Chris S. Haley: University of Edinburgh
Gerome Breen: King’s College London
Ian J. Deary: University of Edinburgh
Andrew M. McIntosh: University of Edinburgh

Nature Communications, 2018, vol. 9, issue 1, 1-10

Abstract: 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

Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:9:y:2018:i:1:d:10.1038_s41467-018-03819-3

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DOI: 10.1038/s41467-018-03819-3

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