Polygenic risk scores (PRSs) are a cutting-edge tool in genetics, combining information from genetic markers across the genome to estimate a person’s risk of developing certain diseases, such as coronary artery disease (CAD). By analyzing a person’s DNA, PRSs offer insights into an individual’s genetic predisposition for conditions like heart disease, potentially informing a more personalized approach to healthcare. But there can be significant variability across currently available PRSs, which may limit their reliability for individual predictions, according to new research from the Perelman School of Medicine at the University of Pennsylvania published this week in JAMA and presented at the American Heart Association’s Scientific Sessions in Chicago.
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