Evidence map›Paper›PMID 31636407›Full record

ArticleNature human behaviour2019

Genetic correlates of social stratification in Great Britain.

Abdel Abdellaoui, David Hugh-Jones, Loic Yengo, Kathryn E Kemper, Michel G Nivard, Laura Veul, Yan Holtz, Brendan P Zietsch, Timothy M Frayling, Naomi R Wray and 3 more

Abstract read
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In one paragraph

Article in Nature human behaviour, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 121 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
121citing papers in PubMed, 3 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

121 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors.

Abdel AbdellaouiDepartment of Psychiatry, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands. a.abdellaoui@amsterdamumc.nl.ORCID http://orcid.org/0000-0003-1088-6784
David Hugh-JonesDepartment of Economics, University of East Anglia, Norwich, UK.
Loic YengoInstitute for Molecular Bioscience, University of Queensland, Brisbane, Australia.ORCID http://orcid.org/0000-0002-4272-9305
Kathryn E KemperInstitute for Molecular Bioscience, University of Queensland, Brisbane, Australia.ORCID http://orcid.org/0000-0002-9288-4522
Michel G NivardDepartment of Biological Psychology, VU University, Amsterdam, The Netherlands.ORCID http://orcid.org/0000-0003-2015-1888
Laura VeulDepartment of Psychiatry, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
Yan HoltzInstitute for Molecular Bioscience, University of Queensland, Brisbane, Australia.
Brendan P ZietschSchool of Psychology, University of Queensland, Brisbane, Queensland, Australia.ORCID http://orcid.org/0000-0003-0274-6140
Timothy M FraylingGenetics of Complex Traits, University of Exeter Medical School, University of Exeter, Exeter, UK.
Naomi R WrayInstitute for Molecular Bioscience, University of Queensland, Brisbane, Australia.ORCID http://orcid.org/0000-0001-7421-3357
Jian YangInstitute for Molecular Bioscience, University of Queensland, Brisbane, Australia.ORCID http://orcid.org/0000-0003-2001-2474
Karin J H VerweijDepartment of Psychiatry, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
Peter M VisscherInstitute for Molecular Bioscience, University of Queensland, Brisbane, Australia. peter.visscher@uq.edu.au.ORCID http://orcid.org/0000-0002-2143-8760

Funding

A Resource for Genetic Epidemiology Research in Adult Health and AgingRC2AG036607 · NIA · KAISER FOUNDATION RESEARCH INSTITUTE · PI RISCH, NEIL J., SCHAEFER, CATHERINE ANN · 2009 to 2010
$24.8M
NIA NIH HHS RC2 AG036607
6 · The paper itself

Abstract

Human DNA polymorphisms vary across geographic regions, with the most commonly observed variation reflecting distant ancestry differences. Here we investigate the geographic clustering of common genetic variants that influence complex traits in a sample of ~450,000 individuals from Great Britain. Of 33 traits analysed, 21 showed significant geographic clustering at the genetic level after controlling for ancestry, probably reflecting migration driven by socioeconomic status (SES). Alleles associated with educational attainment (EA) showed the most clustering, with EA-decreasing alleles clustering in lower SES areas such as coal mining areas. Individuals who leave coal mining areas carry more EA-increasing alleles on average than those in the rest of Great Britain. The level of geographic clustering is correlated with genetic associations between complex traits and regional measures of SES, health and cultural outcomes. Our results are consistent with the hypothesis that social stratification leaves visible marks in geographic arrangements of common allele frequencies and gene-environment correlations.

Indexed as

Educational StatusEmigration and ImmigrationSocial ClassAdipose TissueAllelesBody HeightBody Mass IndexCluster AnalysisGeographic MappingHealth StatusHumansMultifactorial InheritancePhenotypePolymorphism, Single NucleotideUnited KingdomWhite People

Identifiers

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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.