Cromer SJ et al., The American Journal of Human Genetics - This paper reviews polygenic risk scores (PRS) and social determinants of health (SDoH) and outlines best practices for integrating PRS and SDoH across diverse populations to improve prediction and equity.
Study Highlights:
This review focuses on human populations and uses conceptual frameworks, hypothetical population examples, and synthesis of methodological studies to evaluate PRS and SDoH integration. It summarizes methods for PRS construction and transferability, SDoH measurement at individual and area levels, and analytic approaches including interaction, mediation, and calibration. Quantitatively, the authors note substantial declines in PRS predictive accuracy when applied to genetically distinct populations (for example, African-ancestry performance often ~20–40% of European-derived PRS). The review highlights harmonization, population-specific calibration, and interdisciplinary teams as functional steps to improve predictive validity and reduce inequitable impacts.
Conclusion:
Integrating PRSs with carefully measured and harmonized SDoH across diverse populations requires population-aware conceptual frameworks, calibrated analytic methods, diverse datasets, and ethical safeguards to improve predictive validity and equity.
Music:
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Reference:
Cromer SJ, Cobran EK, Iyer HS, Hysong MR, Vargas LB, Smith JL, Konigsberg IR, Bogumil D, Glover L, King G, PRIMED Consortium SDoH Working Group, Lange LA, Patel A, Wojcik G, Raffield L, Conti DV, et al. Incorporating polygenic risk scores and social determinants of health across populations: Considerations and best practices in research. The American Journal of Human Genetics. 2026;113:1–25. https://doi.org/10.1016/j.ajhg.2026.02.007
License:
This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/
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