4.7 Article

Genetic correlates of social stratification in Great Britain

期刊

NATURE HUMAN BEHAVIOUR
卷 3, 期 12, 页码 1332-+

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NATURE PORTFOLIO
DOI: 10.1038/s41562-019-0757-5

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资金

  1. Australian National Health and Medical Research Council [1107258, 1078901, 1078037, 1056929, 1048853, 1113400]
  2. Sylvia and Charles Viertel Charitable Foundation (Senior Medical Research Fellowship)
  3. Foundation Volksbond Rotterdam
  4. ZonMw grants from The Netherlands Organisation for Health Research and Development [849200011, 531003014]
  5. Australian Research Council [FT160100298]
  6. National Institutes of Health [RC2 AG036607]
  7. Robert Wood Johnson Foundation
  8. Ellison Medical Foundation
  9. Wayne and Gladys Valley Foundation
  10. Kaiser Permanente
  11. Welsh Assembly Government
  12. British Heart Foundation
  13. Diabetes UK
  14. National Health and Medical Research Council of Australia [1056929] Funding Source: NHMRC
  15. Australian Research Council [FT160100298] Funding Source: Australian Research Council

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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 similar to 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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