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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Data sharing recommendations for future research based on experience from the PRIMED Consortium - chart depicting details about data sharing mechanisms, implementing data sharing in the cloud, release of data to scientific community, and engaging diverse communities for data sharing
PRIMED shares experience and policy recommendations for genomic data sharing

On July 7, the PRIMED Data Sharing Working Group’s Perspective was published in the American Journal of Human Genetics, describing consortium data sharing policies and procedures to bring together diverse global datasets, implementation of cloud-based data sharing in AnVIL, and experiences with public release of data derivatives. The Perspective also makes policy recommendations to inform future research and data sharing efforts.

Colorful image of multiple open journals. Image by kconcha from Pixabay.
Recent publications
Khan, Alyna, et al. A data model for population descriptors in genomic research American Journal of Human Genetics.
Flores, Alyssa, et al. Polygenic Prediction of Peripheral Artery Disease and Major Adverse Limb Events. JAMA Cardiology.

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