Evidence map›Paper›PMID 24944428›Full record

ArticleIntelligence2014

Molecular genetic contributions to socioeconomic status and intelligence.

Riccardo E Marioni, Gail Davies, Caroline Hayward, Dave Liewald, Shona M Kerr, Archie Campbell, Michelle Luciano, Blair H Smith, Sandosh Padmanabhan, Lynne J Hocking and 5 more

Abstract read
In one paragraph

Article in Intelligence, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 66 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
66citing papers in PubMed, 7 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

66 citing papers in PubMed, 7 syntheses or guidelines pooled it.

  1. Pooled it
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  5. Independent evidence for an association between general cognitive ability and a genetic locus for educational attainment.American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics · 2015
    Pooled it
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  7. Common genetic variants associated with cognitive performance identified using the proxy-phenotype method.Proceedings of the National Academy of Sciences of the United States of America · 2014
    Pooled it
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6 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

15 authors.

Riccardo E MarioniCentre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, 7 George Square, Edinburgh EH8 9JZ, UK ; Department of Psychology, University of Edinburgh, Edinburgh EH8 9JZ, UK.
Gail DaviesCentre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, 7 George Square, Edinburgh EH8 9JZ, UK ; Department of Psychology, University of Edinburgh, Edinburgh EH8 9JZ, UK ; Medical Genetics Section, Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh EH4 2XU, UK.
Caroline HaywardMedical Research Council Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh EH4 2XU, UK.
Dave LiewaldCentre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, 7 George Square, Edinburgh EH8 9JZ, UK.
Shona M KerrMedical Research Council Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh EH4 2XU, UK.
Archie CampbellMedical Genetics Section, Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh EH4 2XU, UK.
Michelle LucianoCentre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, 7 George Square, Edinburgh EH8 9JZ, UK ; Department of Psychology, University of Edinburgh, Edinburgh EH8 9JZ, UK.
Blair H SmithMedical Research Institute, University of Dundee, Dundee DD2 4RB, UK.
Sandosh PadmanabhanBritish Heart Foundation Glasgow Cardiovascular Research Centre, Institute of Cardiovascular and Medical Sciences, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow G12 8TA, UK.
Lynne J HockingMusculoskeletal Research Programme, Division of Applied Medicine, University of Aberdeen, Aberdeen AB25 2ZD, UK.
Nicholas D HastieMedical Research Council Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh EH4 2XU, UK.
Alan F WrightMedical Research Council Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh EH4 2XU, UK.
David J PorteousCentre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, 7 George Square, Edinburgh EH8 9JZ, UK ; Medical Genetics Section, Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh EH4 2XU, UK.
Peter M VisscherCentre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, 7 George Square, Edinburgh EH8 9JZ, UK ; University of Queensland Diamantina Institute, The University of Queensland, Princess Alexandra Hospital, Brisbane 4072, QLD, Australia ; Queensland Brain Institute, The University of Queensland, Brisbane 4072, QLD, Australia.
Ian J DearyCentre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, 7 George Square, Edinburgh EH8 9JZ, UK ; Department of Psychology, University of Edinburgh, Edinburgh EH8 9JZ, UK.

Funding

Chief Scientist Office CZD/16/6/4Medical Research Council G0100266Medical Research Council G0700704Medical Research Council MC_PC_U127561128Medical Research Council MR/K026992/1
6 · The paper itself

Abstract

Education, socioeconomic status, and intelligence are commonly used as predictors of health outcomes, social environment, and mortality. Education and socioeconomic status are typically viewed as environmental variables although both correlate with intelligence, which has a substantial genetic basis. Using data from 6815 unrelated subjects from the Generation Scotland study, we examined the genetic contributions to these variables and their genetic correlations. Subjects underwent genome-wide testing for common single nucleotide polymorphisms (SNPs). DNA-derived heritability estimates and genetic correlations were calculated using the 'Genome-wide Complex Trait Analyses' (GCTA) procedures. 21% of the variation in education, 18% of the variation in socioeconomic status, and 29% of the variation in general cognitive ability was explained by variation in common SNPs (SEs ~ 5%). The SNP-based genetic correlations of education and socioeconomic status with general intelligence were 0.95 (SE 0.13) and 0.26 (0.16), respectively. There are genetic contributions to intelligence and education with near-complete overlap between common additive SNP effects on these traits (genetic correlation ~ 1). Genetic influences on socioeconomic status are also associated with the genetic foundations of intelligence. The results are also compatible with substantial environmental contributions to socioeconomic status.

Indexed as

EducationGeneration ScotlandGeneticsIntelligenceSocioeconomic status

Identifiers

PMID24944428
PMCPMC4051988

What OpenQuestion holds

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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.