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

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 media...

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Main Authors: Xueyi Shen, David M. Howard, Mark J. Adams, W. David Hill, Toni-Kim Clarke, Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium, Ian J. Deary, Heather C. Whalley, Andrew M. McIntosh
Format: Article
Language:English
Published: Nature Publishing Group 2020-05-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-020-16022-0
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spelling doaj-28a072e158aa43dd8062b55e678c77e22021-05-11T08:14:34ZengNature Publishing GroupNature Communications2041-17232020-05-0111111610.1038/s41467-020-16022-0A phenome-wide association and Mendelian Randomisation study of polygenic risk for depression in UK BiobankXueyi Shen0David M. Howard1Mark J. Adams2W. David Hill3Toni-Kim Clarke4Major Depressive Disorder Working Group of the Psychiatric Genomics ConsortiumIan J. Deary5Heather C. Whalley6Andrew M. McIntosh7Division of Psychiatry, University of EdinburghDivision of Psychiatry, University of EdinburghDivision of Psychiatry, University of EdinburghCentre for Cognitive Ageing and Cognitive Epidemiology, University of EdinburghDivision of Psychiatry, University of EdinburghCentre for Cognitive Ageing and Cognitive Epidemiology, University of EdinburghDivision of Psychiatry, University of EdinburghDivision of Psychiatry, University of EdinburghDepression 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.https://doi.org/10.1038/s41467-020-16022-0
collection DOAJ
language English
format Article
sources DOAJ
author Xueyi Shen
David M. Howard
Mark J. Adams
W. David Hill
Toni-Kim Clarke
Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium
Ian J. Deary
Heather C. Whalley
Andrew M. McIntosh
spellingShingle Xueyi Shen
David M. Howard
Mark J. Adams
W. David Hill
Toni-Kim Clarke
Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium
Ian J. Deary
Heather C. Whalley
Andrew M. McIntosh
A phenome-wide association and Mendelian Randomisation study of polygenic risk for depression in UK Biobank
Nature Communications
author_facet Xueyi Shen
David M. Howard
Mark J. Adams
W. David Hill
Toni-Kim Clarke
Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium
Ian J. Deary
Heather C. Whalley
Andrew M. McIntosh
author_sort Xueyi Shen
title A phenome-wide association and Mendelian Randomisation study of polygenic risk for depression in UK Biobank
title_short A phenome-wide association and Mendelian Randomisation study of polygenic risk for depression in UK Biobank
title_full A phenome-wide association and Mendelian Randomisation study of polygenic risk for depression in UK Biobank
title_fullStr A phenome-wide association and Mendelian Randomisation study of polygenic risk for depression in UK Biobank
title_full_unstemmed A phenome-wide association and Mendelian Randomisation study of polygenic risk for depression in UK Biobank
title_sort phenome-wide association and mendelian randomisation study of polygenic risk for depression in uk biobank
publisher Nature Publishing Group
series Nature Communications
issn 2041-1723
publishDate 2020-05-01
description 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.
url https://doi.org/10.1038/s41467-020-16022-0
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