(December 24, 2020)
Using genetic data from nearly 30,000 people, Mount Sinai researchers have built risk scores from a combination of datasets representing distinct ancestral populations that improve prediction of risk for inflammatory bowel diseases (IBD) including Crohn’s disease and ulcerative colitis. The study was published in
Gastroenterology on December 24.
The researchers found that polygenic risk scores, built using association data from multiple populations in Mount Sinai’s multi-ethnic Bio
Me Biobank, maximized IBD predictions for every population in the biobank. Bio
Me is a system-wide effort at Mount Sinai that is revolutionizing diagnosis and classification of diseases according to the patient’s molecular profile. The study showed that risk scores calculated from integrating data significantly improved predictions among individuals with European, Ashkenazi Jewish, and Hispanic ancestry in Bio