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UrduYou may be familiar with a range of tips for living a healthy life: Watch your weight, exercise, eat nutritious food and don’t smoke, for example. What if you could combine these lifestyle factors with a host of other variables to learn your risk of developing specific diseases, to help catch and treat them early or prevent them altogether? Victor Ortega, M.D., Ph.D., associate director for the Mayo Clinic Center for Individualized Medicine in Arizona, explains how science is drawing ever closer to making such personal health forecasts possible.
Tag: polygenic risk scores
Penn Study Highlights Inconsistencies of Genetic Markers for Predicting Heart Disease
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.
Genetic risk prediction for 10 chronic diseases moves closer to the clinic
As part of a nationwide collaboration, Broad Clinical Labs researchers have optimized 10 polygenic scores for use in clinical research as part of a study on how to implement genetic risk prediction for patients.
UCLA Health receives $4.8M NIH grant to improve genetic estimates of disease risk in diverse populations
UCLA Health will receive a $4.8 million grant from The National Institutes of Health to develop methods that will improve genetic risk estimates – polygenic risk scores – for specific diseases in people from diverse populations and mixed ancestries.
Polygenic risk score improves psychosis risk prediction
A new study led by researchers at the University of North Carolina at Chapel Hill has found that that using a polygenic risk score (PRS) based on data from genome-wide association studies (GWAS) improves psychosis risk prediction in persons meeting clinical high-risk criteria.