Taking race out of human genetics
Abstract
Engaging a century-long debate about the role of race in science
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Even as genomics researchers warn not to interpret genetic ancestry as race or ethnicity, this has not prevented people from interpreting them as such.
“Even as genomics researchers warn not to interpret genetic ancestry as race or ethnicity [15, 122], this has not prevented people (e.g. customers of direct-to-consumer genetic testing companies) from interpreting them as such [98].”
From Towards a critical race methodology in algorithmic fairness (2020) · cites this paper as [122]
When disconnected from their social and political histories, racial categories have no place in biological research.
“However, when disconnected from their social and political histories, racial categories have no place in biological research [30, 90, 122].”
From Towards a critical race methodology in algorithmic fairness (2020) · cites this paper as [122]
Genetics, biomedical researchers, and sociologists of science have emphasized the importance of distinguishing ancestry from racial taxonomies within biomedical research and have warned against the dangers of using racial categories to describe genetic variation.
“Genetics, biomedical researchers, and sociologists of science have emphasized the importance of distinguishing ancestry from racial taxonomies within biomedical research [40, 49, 84] and have warned against the dangers of of using racial categories to describe genetic variation [14, 30, 122].”
From Towards a critical race methodology in algorithmic fairness (2020) · cites this paper as [122]
Some objections to the use of race as a variable in prediction models have little to do with unfairness as described here.
“We also acknowledge that some objections to the use of race as a variable in prediction models have little to do with unfairness as described here49.”
From Predictably unequal: understanding and addressing concerns that algorithmic clinical prediction may increase health disparities (2020) · cites this paper as [49]
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- Authors
- Yudell, M., Roberts, D., DeSalle, R., & Tishkoff, S.
- Affiliations
- Drexel University (US)
- University of Pennsylvania (US)
- American Museum of Natural History (US)
- Corresponding author
- Yudell, Michael
- Venue
- Science
- Published
- 2016-02-05
- Volume
- 351
- Issue
- 6273
- Pages
- 564-565
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W2263626698
- Cited by
- 631
- References
- 19
- Citations by year
- 2026: 35 · 2025: 34 · 2024: 44 · 2023: 59 · 2022: 97 · 2021: 104 · 2020: 111 · 2019: 40 · 2018: 44 · 2017: 33 · 2016: 24
- FWCI
- 37.93
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Science (publishedVersion)
- PubMed (publishedVersion)
- Penn Carey Law Legal Scholarship Repository (University of Pennsylvania) (submittedVersion)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Race, Genetics, and Society
- Social Sciences › Arts and Humanities › History › Medical History and Research
- Social Sciences › Arts and Humanities › History and Philosophy of Science › Philosophy and History of Science
- Keywords
- race, human genetics, racial classification, social construction of race
- MeSH terms
- Genetics, Medical, Humans, Genetic Variation, Genome, Human, Racial Groups, Racism
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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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