Old-school health assessment beats genetic test for predicting heart disease CircAHA
, researchers led by a team at Duke AI Health found that genetic tests do little to accurately identify cardiovascular risks compared to a simplecardiovascular disease
from progressing," said senior author Michael Pencina, Ph.D., vice dean for data science at Duke University School of Medicine and director of Duke AI Health, which develops, evaluates and implements artificial intelligence initiatives at Duke Health and elsewhere. "A lot of young people can be given a false sense of security if it looks like they have a low risk of inherited disease from their family," Pencina said."But in the nature vs. nurture battle, it's nurture that is the stronger factor for cardiovascular disease: how a person lives throughout adulthood is a much bigger factor in the course of this disease."
Pencina and colleagues analyzed two large databases—the Framingham Offspring Study and the Atherosclerosis Risk in Communities study—and stratified participants into three groups by age: Younger adults ; early mid-life ; and late mid-life . They applied two predictive models. The first, called a polygenic risk score, calculates the number of inherited genetic variants that are likely to put a person at risk of developing cardiovascular disease.
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