polygenic risk score

Researchers developed a framework known as OmniPRS to boost PRS prediction accuracy by incorporating functional annotation data in simulated and real datasets.

Researchers analyzed multiomic data for 1,064 patients with 10 cancer types, identifying common and rare germline variants influencing protein expression and function.

Along with rare disease variants found in exome or genome sequence data, researchers identified common variants that combine to influence heart failure risk.