Evidence map›Paper›PMID 26809841›Full record

ArticleMolecular psychiatry2016

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

S P Hagenaars, S E Harris, G Davies, W D Hill, D C M Liewald, S J Ritchie, R E Marioni, C Fawns-Ritchie, B Cullen, R Malik and 12 more

Abstract read
In one paragraph

Article in Molecular psychiatry, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 214 papers, 11 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
214citing papers in PubMed, 11 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

214 citing papers in PubMed, 11 syntheses or guidelines pooled it.

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154 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

22 authors.

S P HagenaarsCentre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK.
S E HarrisCentre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK.
G DaviesCentre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK.
W D HillCentre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK.
D C M LiewaldCentre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK.
S J RitchieCentre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK.
R E MarioniCentre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK.
C Fawns-RitchieCentre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK.
B CullenInstitute of Health and Wellbeing, University of Glasgow, Glasgow, UK.
R MalikInstitute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians-Universität, Munich, Germany.
METASTROKE Consortium, International Consortium for Blood Pressure GWAS
SpiroMeta Consortium
CHARGE Consortium Pulmonary Group, CHARGE Consortium Aging and Longevity Group
B B WorrallDepartment of Neurology, University of Virginia, Charlottesville, VA, USA.
C L M SudlowCentre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK.
J M WardlawCentre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK.
J GallacherDepartment of Psychiatry, University of Oxford, Oxford, UK.
J PellInstitute of Health and Wellbeing, University of Glasgow, Glasgow, UK.
A M McIntoshDivision of Psychiatry, University of Edinburgh, Edinburgh, UK.
D J SmithInstitute of Health and Wellbeing, University of Glasgow, Glasgow, UK.
C R GaleCentre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK.
I J DearyCentre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK.

Funding

CHARGE Consortium: Omics Discovery for CVD and Aging PhenotypesR01HL105756 · NHLBI · UNIVERSITY OF WASHINGTON · PI Bruce M Psaty, NICHOLAS L SMITH · 2011 to 2026
$9.5M
Biotechnology and Biological Sciences Research CouncilMedical Research Council MC_QA137853Medical Research Council MC_UP_A620_1015Medical Research Council MC_UU_12011/2Medical Research Council MR/K026992/1Medical Research Council MR/L023784/1Medical Research Council MR/L023784/2NHLBI NIH HHS R01 HL105756Wellcome Trust 093707Wellcome Trust 104036
6 · The paper itself

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.

Indexed as

CognitionHealthAdultAgedBiological Specimen BanksDatabases, FactualFemaleGenetic Association StudiesGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansLinkage DisequilibriumMaleMental HealthMiddle AgedMultifactorial Inheritance

Identifiers

PMID26809841
PMCPMC5078856

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.