The NIH-funded Polygenic Risk Methods in Diverse Populations (PRIMED) Consortium is developing and evaluating methods to improve the use of polygenic risk scores (PRS) to predict disease and health outcomes in diverse ancestry populations. 

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GenomeWeb highlights how the PRIMED Consortium is improving genetic risk estimates in diverse global populations

GenomeWeb spoke with PRIMED investigators for this article highlighting how PRIMED is improving genetic risk estimates in diverse global populations. The piece features contributions from Consortium members Iftikhar Kullo, James Meigs, Jaewon Choi, and Soo-Heon Kwak in advancing PRS for type 2 diabetes and cardiovascular disease.


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Colorful image of multiple open journals. Image by kconcha from Pixabay.
Recent publications
Alicia Huerta-Chagoya, Philip Schroeder, Ravi Mandla, Jiang Li, et al. Rare variant analyses in 51,256 type 2 diabetes cases and 370,487 controls reveal the pathogenicity spectrum of monogenic diabetes genes Nature Genetics.
Shen, Jiayi, et al. Hierarchical joint analysis of marginal summary statistics—Part I: Multipopulation fine mapping and credible set construction Genetic Epidemiology.

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