Health
Multi-Population Risk Scores Could Improve Risk prediction For Inflammatory Bowel Diseases – Eurasia Review
Using genetic data from nearly 30,000 people, Mount Sinai researchers have built risk scores from a combination of datasets representing distinct
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.
The researchers found that polygenic risk scores, built using association data from multiple populations in Mount Sinai’s multi-ethnic BioMe Biobank, maximized IBD predictions…
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