The PRIMED Perspective manuscript has been published, viewable on the AJHG website and ScienceDirect. In brief, this Consortium marker paper describes the PRIMED Consortium and organization of its activities, and highlights methodological innovations and early products, with the goal of facilitating additional initiatives that aim to reduce inequity in genomic medicine.

We hope those attending the ASHG 2024 Annual Meeting in Denver, Colorado from November 5-9 check out the many PRIMED Consortium contributions! The Coordinating Center has put together a list of PRIMED posters, presentations, and other related events at ASHG 2024, which is also available on the PRIMED Consortium website's Abstracts page. Please also share with your colleagues and networks.

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.

PRIMED researchers from the FFAIRR-PRS Site have developed new methods to integrate multiple polygenic risk scores to produce more accurate predictions across diverse ancestries.

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.

The UW will serve as the Coordinating Center for NIH's new new Polygenic Risk Score Diversity Consortium.  NIH will fund consortium work through grants totaling $38 million over five years.

The NIH will fund grants totaling $38 million over five years to develop methods that will improve the way that polygenic risk scores can be used to predict disease in diverse communities.