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Shared genetic aetiology between cognitive functions and physical and mental health in UK Biobank (N=112 151) and 24 GWAS consortia.

Shared genetic aetiology between cognitive functions and physical and mental health in UK Biobank (N=112 151) and 24 GWAS consortia.
Shared genetic aetiology between cognitive functions and physical and mental health in UK Biobank (N=112 151) and 24 GWAS consortia.
Causes of the well-documented association between low levels of cognitive functioning and many adverse neuropsychiatric outcomes, poorer physical health and earlier death remain unknown. We used linkage disequilibrium regression and polygenic profile scoring to test for shared genetic aetiology between cognitive functions and neuropsychiatric disorders and physical health. Using information provided by many published genome-wide association study consortia, we created polygenic profile scores for 24 vascular-metabolic, neuropsychiatric, physiological-anthropometric and cognitive traits in the participants of UK Biobank, a very large population-based sample (N=112?151). Pleiotropy between cognitive and health traits was quantified by deriving genetic correlations using summary genome-wide association study statistics and to the method of linkage disequilibrium score regression. Substantial and significant genetic correlations were observed between cognitive test scores in the UK Biobank sample and many of the mental and physical health-related traits and disorders assessed here. In addition, highly significant associations were observed between the cognitive test scores in the UK Biobank sample and many polygenic profile scores, including coronary artery disease, stroke, Alzheimer's disease, schizophrenia, autism, major depressive disorder, body mass index, intracranial volume, infant head circumference and childhood cognitive ability. Where disease diagnosis was available for UK Biobank participants, we were able to show that these results were not confounded by those who had the relevant disease. These findings indicate that a substantial level of pleiotropy exists between cognitive abilities and many human mental and physical health disorders and traits and that it can be used to predict phenotypic variance across samples.Molecular Psychiatry advance online publication, 26 January 2016; doi:10.1038/mp.2015.225.
1359-4184
1-9
Hagenaars, S.P.
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Harris, S.E.
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Davies, G.
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Hill, W.D.
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Liewald, D.C.M.
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Ritchie, S.J.
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Marioni, R.E.
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Fawns-Ritchie, C.
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Cullen, B.
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Worrall, B.B.
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Sudlow, C.L.M.
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Wardlaw, J.M.
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Gallacher, J.
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Pell, J.
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McIntosh, A.M.
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Smith, D.J.
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Gale, C.R.
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Deary, I.J.
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Hagenaars, S.P.
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Harris, S.E.
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Davies, G.
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Hill, W.D.
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Liewald, D.C.M.
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Ritchie, S.J.
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Marioni, R.E.
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Fawns-Ritchie, C.
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Cullen, B.
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Worrall, B.B.
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Sudlow, C.L.M.
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Wardlaw, J.M.
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Gallacher, J.
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Pell, J.
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McIntosh, A.M.
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Smith, D.J.
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Gale, C.R.
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Deary, I.J.
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Hagenaars, S.P., Harris, S.E. and Davies, G. et al. (2016) Shared genetic aetiology between cognitive functions and physical and mental health in UK Biobank (N=112 151) and 24 GWAS consortia. Molecular Psychiatry, 1-9. (doi:10.1038/mp.2015.225). (PMID:26809841)

Record type: Article

Abstract

Causes of the well-documented association between low levels of cognitive functioning and many adverse neuropsychiatric outcomes, poorer physical health and earlier death remain unknown. We used linkage disequilibrium regression and polygenic profile scoring to test for shared genetic aetiology between cognitive functions and neuropsychiatric disorders and physical health. Using information provided by many published genome-wide association study consortia, we created polygenic profile scores for 24 vascular-metabolic, neuropsychiatric, physiological-anthropometric and cognitive traits in the participants of UK Biobank, a very large population-based sample (N=112?151). Pleiotropy between cognitive and health traits was quantified by deriving genetic correlations using summary genome-wide association study statistics and to the method of linkage disequilibrium score regression. Substantial and significant genetic correlations were observed between cognitive test scores in the UK Biobank sample and many of the mental and physical health-related traits and disorders assessed here. In addition, highly significant associations were observed between the cognitive test scores in the UK Biobank sample and many polygenic profile scores, including coronary artery disease, stroke, Alzheimer's disease, schizophrenia, autism, major depressive disorder, body mass index, intracranial volume, infant head circumference and childhood cognitive ability. Where disease diagnosis was available for UK Biobank participants, we were able to show that these results were not confounded by those who had the relevant disease. These findings indicate that a substantial level of pleiotropy exists between cognitive abilities and many human mental and physical health disorders and traits and that it can be used to predict phenotypic variance across samples.Molecular Psychiatry advance online publication, 26 January 2016; doi:10.1038/mp.2015.225.

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Accepted/In Press date: 7 December 2015
e-pub ahead of print date: 26 January 2016
Organisations: MRC Life-Course Epidemiology Unit

Identifiers

Local EPrints ID: 395508
URI: http://eprints.soton.ac.uk/id/eprint/395508
ISSN: 1359-4184
PURE UUID: beb5254f-706a-4ec8-9a5e-ab57d5088145
ORCID for C.R. Gale: ORCID iD orcid.org/0000-0002-3361-8638

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Date deposited: 31 May 2016 11:46
Last modified: 15 Mar 2024 02:49

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Contributors

Author: S.P. Hagenaars
Author: S.E. Harris
Author: G. Davies
Author: W.D. Hill
Author: D.C.M. Liewald
Author: S.J. Ritchie
Author: R.E. Marioni
Author: C. Fawns-Ritchie
Author: B. Cullen
Author: B.B. Worrall
Author: C.L.M. Sudlow
Author: J.M. Wardlaw
Author: J. Gallacher
Author: J. Pell
Author: A.M. McIntosh
Author: D.J. Smith
Author: C.R. Gale ORCID iD
Author: I.J. Deary

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