Cited by 200Race, Genetics, and SocietyForensic and Genetic ResearchGenetic Associations and Epidemiology

Race, Ethnicity, and Genomics: Social Classifications as Proxies of Biological Heterogeneity

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Foster, Morris W., Sharp, Richard R.·2002·Genome Research

Abstract

Over the past century, genetics has experienced a tension between the view that racial and ethnic categories are biologically meaningful and the view that these social classifications have little or no biological significance. That tension continues to inform genomics and is evident in the assembly of biological collections and sequence databases that seek to approximate the genetic variation found in human populations. Although social identities can be useful and convenient proxies of some biological features, for example, in ensuring that genomic resources capture a range of genetic variants found in most human populations, the ways in which geneticists conceptualize the relationship between racial and ethnic identities and genetic variation can be problematic. Inclusion of racial and ethnic identifiers in genomic resources can create risks for all members of those identified populations and influence lay perceptions of the nature of racial and ethnic groups. Thus, the burden of showing the scientific utility of racial and ethic identities in the construction and analysis of genomic resources falls on researchers. This requires that genetic researchers pay as much attention to the social constitution of human populations as presently is paid to their genetic composition.

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Crossref · 10.1101/gr.99202

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  • The use of race as a natural category can obfuscate the environmental, social, and structural factors that contribute to health disparities and lead to the racialization of certain diseases.

    “For example, the use of race as a natural category can obfuscate the environmental, social, and structural factors that contribute to health disparities [29, 110] and lead to the racialization of certain diseases [19, 30, 37].”

    From Towards a critical race methodology in algorithmic fairness (2020) · cites this paper as [37]

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References 58 · Cited by 200

Authors
Foster, M. W., & Sharp, R. R.
Affiliations
National Institutes of Health (US)
Venue
Genome Research
Published
2002-06-01
Volume
12
Issue
6
Pages
844-850
ISSN
  • 1088-9051 (ISSN-L)
  • 1549-5469
OpenAlex
W2139243023
Cited by
200
References
58
Citations by year
2026: 1 · 2025: 3 · 2024: 8 · 2023: 15 · 2022: 6 · 2021: 8 · 2020: 10 · 2019: 9 · 2018: 13 · 2017: 6 · 2016: 2 · 2015: 5 · 2014: 9 · 2013: 7 · 2012: 3
Type
posted content
Language
en
Open access
Locations
  • Genome Research (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • National Institutes of Health (AI24717, ES11174)
  • National Human Genome Research Institute
  • National Institute of Allergy and Infectious Diseases (AI 24717-S2)
  • National Institute of Environmental Health Sciences (R01ES011174, ES 11174)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Race, Genetics, and Society
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Forensic and Genetic Research
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
Keywords
race, ethnicity, genomics, genetic variation, biological heterogeneity, genomic resources, population genetic variation, social categorization, genetic ancestry, bioethics
MeSH terms
Ethnicity, Humans, Social Class, Genetic Heterogeneity, Genomics, Racial Groups

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