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Genetic Correlates of Social Stratification in Great Britain

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Journal Nat Hum Behav
Date 2019 Oct 23
PMID 31636407
Citations 90
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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.

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References
1.
Novembre J, Johnson T, Bryc K, Kutalik Z, Boyko A, Auton A . Genes mirror geography within Europe. Nature. 2008; 456(7218):98-101. PMC: 2735096. DOI: 10.1038/nature07331. View

2.
Abdellaoui A, Hottenga J, de Knijff P, Nivard M, Xiao X, Scheet P . Population structure, migration, and diversifying selection in the Netherlands. Eur J Hum Genet. 2013; 21(11):1277-85. PMC: 3798851. DOI: 10.1038/ejhg.2013.48. View

3.
Leslie S, Winney B, Hellenthal G, Davison D, Boumertit A, Day T . The fine-scale genetic structure of the British population. Nature. 2015; 519(7543):309-314. PMC: 4632200. DOI: 10.1038/nature14230. View

4.
Zhang G, Muglia L, Chakraborty R, Akey J, Williams S . Signatures of natural selection on genetic variants affecting complex human traits. Appl Transl Genom. 2016; 2:78-94. PMC: 5121263. DOI: 10.1016/j.atg.2013.10.002. View

5.
Berg J, Coop G . A population genetic signal of polygenic adaptation. PLoS Genet. 2014; 10(8):e1004412. PMC: 4125079. DOI: 10.1371/journal.pgen.1004412. View