Conceptualizing human variation
Abstract
What is the relationship between the patterns of biological and sociocultural variation in extant humans? Is this relationship accurately described, or best explained, by the term 'race' and the schema of 'racial' classification? What is the relationship between 'race', genetics and the demographic groups of society? Can extant humans be categorized into units that can scientifically be called 'races'? These questions underlie the discussions that address the explanations for the observed differences in many domains between named demographic groups across societies. These domains include disease incidence and prevalence and other variables studied by biologists and social scientists. Here, we offer a perspective on understanding human variation by exploring the meaning and use of the term 'race' and its relationship to a range of data. The quest is for a more useful approach with which to understand human biological variation, one that may provide better research designs and inform public policy.
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Each is checked against this paper’s own text: does it say what the citing paper says it does?
Humans cannot be divided into biologically distinct subcategories.
“Genetics demonstrates that humans cannot be divided into biologically distinct subcategories.”
From ASHG Denounces Attempts to Link Genetics and Racial Supremacy (2018) · cites this paper as [3]
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ASHG Denounces Attempts to Link Genetics and Racial Supremacy
(2018) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2018.10.011 · Cited by 130 · see citing works
Maglo, K. N., Mersha, T. B., & Martin, L. J. (2016) · Frontiers in Genetics · doi:10.3389/fgene.2016.00022 · Cited by 106 · see citing works
- Authors
- Keita, S. O. Y., Kittles, R. A., Royal, C. D. M., Bonney, G. E., Furbert-Harris, P., Dunston, G. M., & Rotimi, C. N.
- Affiliations
- Smithsonian Institution (US)
- Howard University (US)
- Corresponding author
- Kittles, R A
- Venue
- Nature Genetics
- Published
- 2004-10-26
- Volume
- 36
- Issue
- S11
- Pages
- S17-S20
- ISSN
- 1061-4036 (ISSN-L)
- 1546-1718
- OpenAlex
- W2058377711
- Cited by
- 166
- References
- 0
- Citations by year
- 2026: 7 · 2025: 2 · 2024: 6 · 2023: 7 · 2022: 5 · 2021: 12 · 2020: 4 · 2019: 4 · 2018: 4 · 2017: 5 · 2016: 8 · 2015: 8 · 2014: 11 · 2013: 9 · 2012: 6
- FWCI
- 5.69
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature Genetics (publishedVersion)
- PubMed (publishedVersion)
- DigitalGeorgetown (Georgetown University Library) (submittedVersion)
- 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 diversity and population structure
- Keywords
- human races, racial classification, biological variation, sociocultural variation, genetic variation, demographic groups, disease incidence, race and genetics
- MeSH terms
- Demography, Humans, Research, Genetic Variation, Genome, Human, Genetic Predisposition to Disease, Racial Groups
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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