Admixture-informed polygenic risk reporting using the ePRS framework

Abstract Polygenic risk score values vary with genetic ancestry due to differences in population-specific allele frequencies and linkage disequilibrium patterns. We present a framework to calibrate polygenic risk scores based on ancestral makeup. We propose the “expected polygenic risk score” or ePR...

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Principais autores:	Yu-Jyun Huang, Nuzulul Kurniansyah, Matthew O. Goodman, Brian W. Spitzer, Jiongming Wang, Adrienne Stilp, Cecelia Laurie, Paul S. de Vries, Han Chen, Yuan-I Min, Mario Sims, Gina M. Peloso, Xiuqing Guo, Joshua C. Bis, Jennifer A. Brody, Laura M. Raffield, Jennifer A. Smith, Wei Zhao, Jerome I. Rotter, Stephen S. Rich, Susan Redline, Myriam Fornage, Robert Kaplan, Nora Franceschini, Daniel Levy, Alanna C. Morrison, Eric Boerwinkle, Nicholas L. Smith, Charles Kooperberg, Bruce M. Psaty, Sebastian Zöllner, the Trans-Omics for Precision Medicine Consortium, Tamar Sofer
格式:	Artigo
語言:	Inglês
出版:	Nature Portfolio 2026-04-01
叢編:	Nature Communications
在線閱讀:	https://doi.org/10.1038/s41467-026-72457-x
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