Evidence map›Paper›PMID 26476593›Full record

ArticleBiological psychiatry2016

Age-Dependent Pleiotropy Between General Cognitive Function and Major Psychiatric Disorders.

W David Hill, Gail Davies, CHARGE Cognitive Working Group, David C Liewald, Andrew M McIntosh, Ian J Deary

Open access · hybridAbstract read
In one paragraph

Article in Biological psychiatry, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed, 2 pooled it
7.4field-weighted citation impact, top 2% of its field
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

49 citing papers in PubMed, 2 syntheses or guidelines pooled it, 91 citations in OpenAlex.

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  14. Intelligence, health and death.Nature human behaviour · 2021
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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

6 authors at 1 institution in 1 country.

W David HillCentre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, United Kingdom; Departments of Psychology, University of Edinburgh, Edinburgh, United Kingdom.
Gail DaviesCentre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, United Kingdom; Departments of Psychology, University of Edinburgh, Edinburgh, United Kingdom.
CHARGE Cognitive Working Group
David C LiewaldCentre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, United Kingdom; Departments of Psychology, University of Edinburgh, Edinburgh, United Kingdom.
Andrew M McIntoshCentre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, United Kingdom; Psychiatry, University of Edinburgh, Edinburgh, United Kingdom.
Ian J DearyCentre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, United Kingdom; Departments of Psychology, University of Edinburgh, Edinburgh, United Kingdom. Electronic address: ian.deary@ed.ac.uk.
University of Edinburgh · GB

Funding

Biotechnology and Biological Sciences Research Council BB/F019394/1Medical Research Council G0700704Medical Research Council MR/K026992/1Wellcome Trust 104036
6 · The paper itself

Abstract

backgroundGeneral cognitive function predicts psychiatric illness across the life course. This study examines the role of pleiotropy in explaining the link between cognitive function and psychiatric disorder.

methodsWe used two large genome-wide association study data sets on cognitive function-one from older age, n = 53,949, and one from childhood, n = 12,441. We also used genome-wide association study data on educational attainment, n = 95,427, to examine the validity of its use as a proxy phenotype for cognitive function. Using a new method, linkage disequilibrium regression, we derived genetic correlations, free from the confounding of clinical state between psychiatric illness and cognitive function.

resultsWe found a genetic correlation of .711 (p = 2.26e-12) across the life course for general cognitive function. We also showed a positive genetic correlation between autism spectrum disorder and cognitive function in childhood (rg = .360, p = .0009) and for educational attainment (rg = .322, p = 1.37e-5) but not in older age. In schizophrenia, we found a negative genetic correlation between older age cognitive function (rg = -.231, p = 3.81e-12) but not in childhood or for educational attainment. For Alzheimer's disease, we found negative genetic correlations with childhood cognitive function (rg = -.341, p = .001), educational attainment (rg = -.324, p = 1.15e-5), and with older age cognitive function (rg = -.324, p = 1.78e-5).

conclusionsThe pleiotropy exhibited between cognitive function and psychiatric disorders changed across the life course. These age-dependent associations might explain why negative selection has not removed variants causally associated with autism spectrum disorder or schizophrenia.

Indexed as

AgingCognition DisordersFemaleGenetic Association StudiesGenetic Predisposition to DiseaseHumansMaleMental DisordersMeta-Analysis as TopicAgingAutismCognitive functionGeneticsPleiotropySchizophrenia

Identifiers

PMID26476593
PMCPMC4974237
OpenAlexW1878273090

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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.