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Researchers roll out a more accurate way to estimate genetic risks of disease

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A funnel decorated with computer circuits compiles information from many DNA sequences into one polygenic risk score.

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. The methods, called PRSMix and PRSMix+, are published in Cell Genomics, featured in a Broad Institute press release, and publicly available on the NHGRI AnVIL cloud platform.

Image by Ricardo Job-Reese, Broad Institute of MIT and Harvard.

Source
Cell Genomics
Link to article
Date
03/19/2024