Shen, Xueyi
[Author];
Howard, David M.
[Author];
Adams, Mark J.
[Author];
Hill, W. David
[Author];
Clarke, Toni-Kim
[Author];
Deary, Ian J.
[Author];
Whalley, Heather C.
[Author];
McIntosh, Andrew M.
[Author];
Domschke, Katharina
[Author]
A phenome-wide association and Mendelian Randomisation study of polygenic risk for depression in UK Biobank
Description:
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 < 0.043). Several behavioural traits are also associated with depression-PRS (β: 0.014 to 0.180, pFDR: 0.049 to 1.28 × 10−14) and we find a significant and positive interaction between depression-PRS and adverse environmental exposures on mental health outcomes. This study reveals replicable associations between depression-PRS and white matter microstructure. Our results indicate that white matter microstructure differences may be a causal consequence of liability to depression