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
Shen, Jiayi, et al. Hierarchical joint analysis of marginal summary statistics—Part I: Multipopulation fine mapping and credible set construction Genetic Epidemiology.
He, Yixuan, et al. Multi-trait and multi-ancestry genetic analysis of comorbid lung diseases and traits improves genetic discovery and polygenic risk prediction medRxiv.

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