<p>New genomic technologies allow the apportionment of individuals’ genotyped DNA into admixture proportions traceable to historically isolated biogeographic ancestry (BGA) groups such as African, European, and Amerindian. These BGA admixture proportions have proven valuable in a wide range of recent epidemiological research. We performed a meta-analysis of epidemiological studies involving populations in the Americas which revealed consistent patterns of correlation between BGA admixture proportions and socio-economic status (SES). Given this finding, the consistent omission of BGA from sociological and economic analyses raises the concern of omitted-variable bias, potentially confounding interpretations of race- and ethnicity-related inequality. Incorporating BGA into economic and sociological models is essential for a more accurate and comprehensive understanding of the determinants of SES disparities.</p>

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Biogeographic Ancestry and Socioeconomic Status: A Meta-Analysis of Epidemiological Findings

  • John Fuerst,
  • Gregory Connor,
  • Meng Hu,
  • Michael Woodley of Menie

摘要

New genomic technologies allow the apportionment of individuals’ genotyped DNA into admixture proportions traceable to historically isolated biogeographic ancestry (BGA) groups such as African, European, and Amerindian. These BGA admixture proportions have proven valuable in a wide range of recent epidemiological research. We performed a meta-analysis of epidemiological studies involving populations in the Americas which revealed consistent patterns of correlation between BGA admixture proportions and socio-economic status (SES). Given this finding, the consistent omission of BGA from sociological and economic analyses raises the concern of omitted-variable bias, potentially confounding interpretations of race- and ethnicity-related inequality. Incorporating BGA into economic and sociological models is essential for a more accurate and comprehensive understanding of the determinants of SES disparities.