Whose genomics?
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Most genome-wide association studies focus on white male subjects and those that explore sex differences in complex traits are scarce.
“Most of genome-wide association studies (GWAS) focus on white male subjects127 and those that explore sex differences in complex traits are scarce128.”
From Sex and gender differences and biases in artificial intelligence for biomedicine and healthcare (2020) · cites this paper as [127]
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References 4 · Cited by 11
- Venue
- Nature Human Behaviour
- Published
- 2019-05-14
- Volume
- 3
- Issue
- 5
- Pages
- 409-410
- ISSN
- 2397-3374 (ISSN-L)
- OpenAlex
- W4254505967
- Cited by
- 11
- References
- 4
- Citations by year
- 2026: 1 · 2025: 1 · 2024: 1 · 2023: 2 · 2022: 3 · 2021: 2 · 2020: 1
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Nature Human Behaviour (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Race, Genetics, and Society
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Forensic and Genetic Research
- Keywords
- Eurocentrism, genomic research, research equity, underrepresented groups, global health disparities, research ethics
- MeSH terms
- Humans, Smoking, Genomics, White People, Asian People, Genome-Wide Association Study
About these checks
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.
Statistics and arithmetic are recomputed, not judged.
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