Genetic Options: The Impact of Genetic Ancestry Testing on Consumers’ Racial and Ethnic Identities
Abstract
The rapid growth of genetic ancestry testing has brought concerns that these tests will transform consumers’ racial and ethnic identities, producing “geneticized” identities determined by genetic knowledge. Drawing on 100 qualitative interviews with white, black, Hispanic/Latino, Asian, and Native Americans, the authors develop the genetic options theory to account for how genetic ancestry tests influence consumers’ ethnic and racial identities. The theory maintains that consumers do not accept the tests’ results as given but choose selectively from the estimates according to two mechanisms: their identity aspirations and social appraisals. Yet consumers’ prior racialization also influences their identity aspirations; white respondents aspired to new identities more readily and in substantively different ways. The authors’ findings suggest that genetic ancestry testing can reinforce race privilege among those who already experience it.
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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 [98]
Cites
Optimal Distinctiveness Theory
Leonardelli, G. J., Pickett, C. L., & Brewer, M. B. (2010) · Advances in Experimental Social Psychology · doi:10.1016/s0065-2601(10)43002-6 · Cited by 374 · see citing works
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Towards a critical race methodology in algorithmic fairness
Hanna, A., Denton, R., Smart, A., & Smith-Loud, J. (2020) · Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency · doi:10.1145/3351095.3372826 · Cited by 295 · see citing works
“ic identification [15, 91, 113]. [59, 63]. Genetic ancestry testing has been criticized for its potentialtopromotebiologicalessentialilsmandreinforceraceprivilege amongst those already experiencing it [15, 98]. Finally, bioinformatics tools and research practices themselves contribute to the essentialization of race [1…”
Racial categories in machine learning
Benthall, S., & Haynes, B. D. (2019) · Proceedings of the Conference on Fairness, Accountability, and Transparency · doi:10.1145/3287560.3287575 · Cited by 110 · see citing works
Ancestry, Color, or Culture? How Whites Racially Classify Others in the U.S.
Schachter, A., Flores, R. D., & Maghbouleh, N. (2021) · American Journal of Sociology · doi:10.1086/714215 · Cited by 74 · see citing works
The Intersection of Racial and Gender Attitudes, 1977 through 2018
Scarborough, W. J., Pepin, J. R., Lambouths, D. L., Kwon, R., & Monasterio, R. (2021) · American Sociological Review · doi:10.1177/00031224211033582 · Cited by 43 · see citing works
Zeghiche, S., Côté, I., & Lavoie, K. (2023) · Reproductive BioMedicine Online · doi:10.1016/j.rbmo.2023.04.011 · Cited by 6 · see citing works
- Authors
- Roth, W. D., & Ivemark, B.
- Affiliations
- University of British Columbia (CA)
- ORCID
- Roth, Wendy D.
- Venue
- American Journal of Sociology
- Publisher
- University of Chicago Press
- Published
- 2018-07
- Volume
- 124
- Issue
- 1
- Pages
- 150-184
- ISSN
- 0002-9602 (ISSN-L)
- 1537-5390
- OpenAlex
- W2811313855
- Cited by
- 172
- References
- 1
- Citations by year
- 2026: 14 · 2025: 20 · 2024: 13 · 2023: 24 · 2022: 23 · 2021: 46 · 2020: 21 · 2019: 9 · 2018: 1 · 2017: 1
- FWCI
- 11.80
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- American Journal of Sociology (publishedVersion)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Race, Genetics, and Society
- Social Sciences › Sociology and Political Science › Racial and Ethnic Identity Research
- Social Sciences › Arts and Humanities › Philosophy › Cultural Identity and Representation
- Keywords
- genetic ancestry testing, racial identity, ethnic identity, social evaluation, white identity
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