Broad Institute of MIT and Harvard’s Post

Women face greater risk from cardiovascular disease than men for reasons that aren’t fully understood, and existing polygenic scores to predict risk perform worse in women than in men. Kaavya Paruchuri, Pradeep Natarajan, and colleagues built a new polygenic score that incorporates alleles exhibiting differential effects on risk for women than men. Using data from the CARDIoGRAMplusC4D analysis, their score helped improve prediction among women younger than 55, with some sex-based disparities still present. The work underscores the ongoing need to bridge the performance gap in polygenic risk prediction for coronary artery disease. Read more in the Journal of the American Heart Association. #BroadInstitute #Science #ScienceNews #Research #ScientificResearch

Using Sex‐Specific Polygenic Risk to Prognosticate Coronary Artery Disease in Women

Using Sex‐Specific Polygenic Risk to Prognosticate Coronary Artery Disease in Women

ahajournals.org

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