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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Figure 3a showing elements of environment, social determinants, and genomics
Principles and methods for transferring polygenic risk scores across global populations

Now out in Nature Reviews Genetics, this Review is a collaborative effort from the PRIMED Methods Review Working Group, led by Linda Kachuri, John Witte, and Tian Ge. This PRIMED Methods Working Group paper covers key methodological issues for polygenic risk scores (PRS) faced by the Consortium. It considers the genetic and non-genetic factors that impact PRS transferability across populations, with a focus on PRS construction methods for diverse ancestries and how future work can improve and increase the value of PRS.


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Colorful image of multiple open journals. Image by kconcha from Pixabay.
Recent publications
Crome, SJ, et al. Algorithmic identification of atypical diabetes in electronic health record (EHR) systems PLoS One.
Kim, Hyunkyung, et al. High-throughput genetic clustering of type 2 diabetes loci reveals heterogeneous mechanistic pathways of metabolic disease Diabetologia.

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