Association of polygenic risk for major psychiatric illness with subcortical volumes and white matter integrity in UK Biobank

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作者
L. M. Reus
X. Shen
J. Gibson
E. Wigmore
L. Ligthart
M. J. Adams
G. Davies
S. R. Cox
S. P. Hagenaars
M. E. Bastin
I. J. Deary
H. C. Whalley
A. M. McIntosh
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[1] University of Edinburgh,Division of Psychiatry
[2] Royal Edinburgh Hospital,Department of Biological Psychology
[3] Vrije Universiteit,Department of Psychology
[4] Centre for Cognitive Ageing and Cognitive Epidemiology,undefined
[5] University of Edinburgh,undefined
[6] University of Edinburgh,undefined
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Major depressive disorder (MDD), schizophrenia (SCZ) and bipolar disorder (BP) are common, disabling and heritable psychiatric diseases with a complex overlapping polygenic architecture. Individuals with these disorders, as well as their unaffected relatives, show widespread structural differences in corticostriatal and limbic networks. Structural variation in many of these brain regions is also heritable and polygenic but whether their genetic architecture overlaps with that of major psychiatric disorders is unknown. We sought to address this issue by examining the impact of polygenic risk of MDD, SCZ, and BP on subcortical brain volumes and white matter (WM) microstructure in a large single sample of neuroimaging data; the UK Biobank Imaging study. The first release of UK Biobank imaging data comprised participants with overlapping genetic data and subcortical volumes (N = 978) and WM measures (N = 816). The calculation of polygenic risk scores was based on genome-wide association study results generated by the Psychiatric Genomics Consortium. Our findings indicated no statistically significant associations between either subcortical volumes or WM microstructure, and polygenic risk for MDD, SCZ or BP. These findings suggest that subcortical brain volumes and WM microstructure may not be closely linked to the genetic mechanisms of major psychiatric disorders.
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