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Often wrong, sometimes useful: Including polygenic scores in social science research

Published online by Cambridge University Press:  11 September 2023

Jason Fletcher Open the ORCID record for Jason Fletcher [Opens in a new window]
Jason Fletcher*
Affiliation:
Center for Demography of Health and Aging, La Follette School of Public Affairs, University of Wisconsin-Madison, Madison, WI 53706, USA jason.fletcher@wisc.edu
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Abstract

This commentary seeks to briefly outline a clear-eyed middle ground between Burt's claims that the inclusion of polygenic scores (PGSs) is essentially useless for social science and proponents' vast overstatements and over-interpretations of these scores. Current practice of including PGSs in social science is often wrong but sometimes useful.

Type
Open Peer Commentary
Information
Behavioral and Brain Sciences , Volume 46 , 2023 , e213
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Copyright
Copyright © The Author(s), 2023. Published by Cambridge University Press

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References

Boardman, J. D., & Fletcher, J. M. (2015). To cause or not to cause? That is the question, but identical twins might not have all of the answers. Social Science and Medicine, 127, 198–200.CrossRefGoogle ScholarPubMed
Boardman, J. D., & Fletcher, J. M. (2021). Evaluating the continued integration of genetics into medical sociology. Journal of Health and Social Behavior, 62(3), 404–418.CrossRefGoogle ScholarPubMed
Fletcher, J. (2022a). Backdoor to a dead end: A review essay: The genetic lottery: Why DNA matters for social equality by Kathryn Paige Harden. Population and Development Review, 48(1), 253–258.CrossRefGoogle Scholar
Fletcher, J. (2022b). Lost in translation: Importing causal designs into behavioral genetics may be a dead end. https://osf.io/preprints/socarxiv/zyvkr/CrossRefGoogle Scholar
Fletcher, J., Wu, Y., Li, T., & Lu, Q. (2021). Interpreting polygenic score effects in sibling analysis. BioRxiv.Google Scholar
Harden, K. P. (2021). The genetic lottery: Why DNA matters for social equality. Princeton University Press.Google Scholar
Madole, J., & Harden, K. P. (2023). Building causal knowledge in behavior genetics. Behavioral and Brain Sciences. https://doi.org/10.1017/S0140525X22000681Google Scholar
Oster, E. (2019). Unobservable selection and coefficient stability: Theory and evidence. Journal of Business & Economic Statistics, 37(2), 187–204.CrossRefGoogle Scholar