TY - JOUR
T1 - A phenome-wide association and Mendelian Randomisation study of polygenic risk for depression in UK Biobank
AU - Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium
AU - Shen, Xueyi
AU - Howard, David M.
AU - Adams, Mark J.
AU - Hill, W. David
AU - Clarke, Toni Kim
AU - McIntosh, Andrew M.
AU - Deary, Ian J.
AU - Wray, Naomi R.
AU - Ripke, Stephan
AU - Mattheisen, Manuel
AU - Trzaskowski, Maciej
AU - Byrne, Enda M.
AU - Abdellaoui, Abdel
AU - Agerbo, Esben
AU - Air, Tracy M.
AU - Andlauer, Till F.M.
AU - Bacanu, Silviu Alin
AU - Bækvad-Hansen, Marie
AU - Beekman, Aartjan T.F.
AU - Bigdeli, Tim B.
AU - Binder, Elisabeth B.
AU - Bryois, Julien
AU - Buttenschøn, Henriette N.
AU - Bybjerg-Grauholm, Jonas
AU - Cai, Na
AU - Castelao, Enrique
AU - Christensen, Jane Hvarregaard
AU - Coleman, Jonathan R.I.
AU - Colodro-Conde, Lucía
AU - Couvy-Duchesne, Baptiste
AU - Craddock, Nick
AU - Crawford, Gregory E.
AU - Davies, Gail
AU - Degenhardt, Franziska
AU - Derks, Eske M.
AU - Direk, Nese
AU - Dolan, Conor V.
AU - Dunn, Erin C.
AU - Eley, Thalia C.
AU - Escott-Price, Valentina
AU - Kiadeh, Farnush Farhadi Hassan
AU - Finucane, Hilary K.
AU - Foo, Jerome C.
AU - Forstner, Andreas J.
AU - Frank, Josef
AU - Gaspar, Héléna A.
AU - Gill, Michael
AU - Rice, John P.
AU - Heath, Andrew C.
AU - Madden, Pamela A.F.
N1 - Publisher Copyright:
© 2020, The Author(s).
PY - 2020/12/1
Y1 - 2020/12/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85084721245&partnerID=8YFLogxK
U2 - 10.1038/s41467-020-16022-0
DO - 10.1038/s41467-020-16022-0
M3 - Article
C2 - 32385265
AN - SCOPUS:85084721245
SN - 2041-1723
VL - 11
JO - Nature communications
JF - Nature communications
IS - 1
M1 - 2301
ER -