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Building causal knowledge in behavior genetics without racial/ethnic diversity will result in weak causal knowledge

Published online by Cambridge University Press:  11 September 2023

Moin Syed Open the ORCID record for Moin Syed [Opens in a new window]
Moin Syed*
Affiliation:
Department of Psychology, University of Minnesota, Minneapolis, MN, USA [email protected] https://cla.umn.edu/about/directory/profile/moin
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Abstract

Behavior genetics often emphasizes methods over the underlying quality of the psychological information to which the methods are applied. A core aspect of this quality is the demographic diversity of the samples. Building causal genetic models based only on European-ancestry samples compromises their generalizability. Behavior genetics researchers must spend additional time and resources diversifying their samples before emphasizing causation.

Type
Open Peer Commentary
Information
Behavioral and Brain Sciences , Volume 46 , 2023 , e202
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Copyright
Copyright © The Author(s), 2023. Published by Cambridge University Press

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References

Adetula, A., Forscher, P. S., Basnight-Brown, D., Azouaghe, S., & IJzerman, H. (2022). Psychology should generalize from – not just to – Africa. Nature Reviews Psychology, 1, 370–371. https://doi.org/10.1038/s44159-022-00070-yCrossRefGoogle Scholar
Bernal, G., & Scharrón-del-Río, M. R. (2001). Are empirically supported treatments valid for ethnic minorities? Toward an alternative approach for treatment research. Cultural Diversity and Ethnic Minority Psychology, 7(4), 328–342. https://psycnet.apa.org/doi/10.1037/1099-9809.7.4.328CrossRefGoogle ScholarPubMed
Bradley, V. C., Kuriwaki, S., Isakov, M., Sejdinovic, D., Meng, X. L., & Flaxman, S. (2021). Unrepresentative big surveys significantly overestimated US vaccine uptake. Nature, 600(7890), 695–700. https://doi.org/10.1038/s41586-021-04198-4CrossRefGoogle ScholarPubMed
Castro, F. G., Barrera, M. Jr, & Holleran Steiker, L. K. (2010). Issues and challenges in the design of culturally adapted evidence-based interventions. Annual Review of Clinical Psychology, 6, 213–239. https://doi.org/10.1146/annurev-clinpsy-033109-132032CrossRefGoogle ScholarPubMed
Cauce, A. M., Coronado, N., & Watson, J. (1998). Conceptual, methodological, and statistical issues in culturally competent research. In Hernandez, M. & Mareasa, R. (Eds.), Promoting cultural competence in children's mental health services (pp. 305–329). Paul Brooks.Google Scholar
Deaton, A., & Cartwright, N. (2018). Understanding and misunderstanding randomized controlled trials. Social Science & Medicine, 210, 2–21. https://doi.org/10.1016/j.socscimed.2017.12.005CrossRefGoogle ScholarPubMed
Flay, B. R., Biglan, A., Boruch, R. F., Castro, F. G., Gottfredson, D., Kellam, S., … Ji, P. (2005). Standards of evidence: Criteria for efficacy, effectiveness and dissemination. Prevention Science, 6(3), 151–175. https://doi.org/10.1007/s11121-005-5553-yCrossRefGoogle ScholarPubMed
Holden, L. R., Haughbrook, R., & Hart, S. A. (2022). Developmental behavioral genetics research on school achievement is missing vulnerable children, to our detriment. New Directions for Child and Adolescent Development, 183-184, 47–55. https://doi.org/10.1002/cad.20485.CrossRefGoogle ScholarPubMed
Jones, D. S., & Podolsky, S. H. (2015). The history and fate of the gold standard. The Lancet, 385(9977), 1502–1503. https://doi.org/10.1016/S0140-6736(15)60742-5CrossRefGoogle ScholarPubMed
Lee, J. J., Wedow, R., Okbay, A., Kong, E., Maghzian, O., Zacher, M., … Cesarini, D. (2018). Gene discovery and polygenic prediction from a genome-wide association study of educational attainment in 1.1 million individuals. Nature Genetics, 50(8), 1112–1121. https://doi.org/10.1038/s41588-018-0147-3CrossRefGoogle ScholarPubMed
Mathieson, I. (2021). The omnigenic model and polygenic prediction of complex traits. The American Journal of Human Genetics, 108(9), 1558–1563. https://doi.org/10.1016/j.ajhg.2021.07.003CrossRefGoogle ScholarPubMed
Mertens, J., Wang, Q. W., Kim, Y., Yu, D. X., Pham, S., Yang, B., … Yao, J. (2015). Differential responses to lithium in hyperexcitable neurons from patients with bipolar disorder. Nature, 527(7576), 95–99. https://doi.org/10.1038/nature15526CrossRefGoogle ScholarPubMed
Nguyen, P. L. L., Syed, M., & McGue, M. (2021). Behavior genetics research on personality: Moving beyond traits to examine characteristic adaptations. Social and Personality Psychology Compass, 15, e12628. https://doi.org/10.1111/spc3.12628CrossRefGoogle Scholar
Pelt, D., Schwabe, I., & Bartels, M. (2022). Using item response theory modeling to address bias in genetic findings for happiness, life satisfaction, and social support. PsyArXiv. https://doi.org/10.31234/osf.io/7uz9yGoogle Scholar
Santos, R., Linker, S. B., Stern, S., Mendes, A. P., Shokhirev, M. N., Erikson, G., … Gage, F. H. (2021). Deficient LEF1 expression is associated with lithium resistance and hyperexcitability in neurons derived from bipolar disorder patients. Molecular Psychiatry, 26(6), 2440–2456. https://doi.org/10.1038/s41380-020-00981-3CrossRefGoogle ScholarPubMed
Stern, S., Santos, R., Marchetto, M. C., Mendes, A. P. D., Rouleau, G. A., Biesmans, S., … Gage, F. H. (2018). Neurons derived from patients with bipolar disorder divide into intrinsically different sub-populations of neurons, predicting the patients’ responsiveness to lithium. Molecular Psychiatry, 23(6), 1453–1465. https://doi.org/10.1038/mp.2016.260CrossRefGoogle Scholar
Whaley, A. L., & Davis, K. E. (2007). Cultural competence and evidence-based practice in mental health services: A complementary perspective. American Psychologist, 62(6), 563–574. https://doi.org/10.1037/0003-066X.62.6.563CrossRefGoogle ScholarPubMed
Wojcik, G. L., Graff, M., Nishimura, K. K., Tao, R., Haessler, J., Gignoux, C. R., … Carlson, C. S. (2019). Genetic analyses of diverse populations improves discovery for complex traits. Nature, 570(7762), 514–518. https://doi.org/10.1038/s41586-019-1310-4CrossRefGoogle ScholarPubMed
Yarkoni, T. (2022). The generalizability crisis. Behavioral and Brain Sciences, 45, E1. https://doi.org/10.1017/S0140525X20001685.CrossRefGoogle Scholar