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

Authors :
Shen, Xueyi
Howard, David M.
Adams, Mark J.
Hill, W. David
Clarke, Toni-Kim
Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium
McIntosh, Andrew M.
Deary, Ian J.
Wray, Naomi R.
Ripke, Stephan
Mattheisen, Manuel
Trzaskowski, Maciej
Byrne, Enda M.
Abdellaoui, Abdel
Agerbo, Esben
Air, Tracy M.
Andlauer, Till F. M.
Bacanu, Silviu-Alin
Bækvad-Hansen, Marie
Beekman, Aartjan T. F.
Source :
Nature Communications; 5/8/2020, Vol. 11 Issue 1, p1-16, 16p
Publication Year :
2020

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, p<subscript>FDR</subscript> < 0.043). Several behavioural traits are also associated with depression-PRS (β: 0.014 to 0.180, p<subscript>FDR</subscript>: 0.049 to 1.28 × 10<superscript>−14</superscript>) 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. Depression is correlated with many brain-related traits. Here, Shen et al. perform phenome-wide association studies of a depression polygenic risk score (PRS) and find associations with 51 behavioural and 26 neuroimaging traits which are further followed up on using Mendelian randomization and mediation analyses. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20411723
Volume :
11
Issue :
1
Database :
Complementary Index
Journal :
Nature Communications
Publication Type :
Academic Journal
Accession number :
143113419
Full Text :
https://doi.org/10.1038/s41467-020-16022-0