A phenome-wide association and Mendelian Randomisation study of polygenic risk for depression in UK Biobank

Xueyi Shen, David M. Howard, Mark J. Adams, W. David Hill, Toni-Kim Clarke, Ian J. Deary, Heather C. Whalley and Andrew M. McIntosh ()
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Xueyi Shen: University of Edinburgh
David M. Howard: University of Edinburgh
Mark J. Adams: University of Edinburgh
W. David Hill: University of Edinburgh
Toni-Kim Clarke: University of Edinburgh
Ian J. Deary: University of Edinburgh
Heather C. Whalley: University of Edinburgh
Andrew M. McIntosh: University of Edinburgh

Nature Communications, 2020, vol. 11, issue 1, 1-16

Abstract: Abstract Depression is a leading cause of worldwide disability but there remains considerable uncertainty regarding its neural and behavioural associations. Here, using non-overlapping Psychiatric Genomics Consortium (PGC) datasets as a reference, we estimate polygenic risk scores for depression (depression-PRS) in a discovery (N = 10,674) and replication (N = 11,214) imaging sample from UK Biobank. We report 77 traits that are significantly associated with depression-PRS, in both discovery and replication analyses. Mendelian Randomisation analysis supports a potential causal effect of liability to depression on brain white matter microstructure (β: 0.125 to 0.868, pFDR

Date: 2020
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DOI: 10.1038/s41467-020-16022-0

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