Analytics in Action News

Genetic Data Boosts Risk Prediction for Inflammatory Bowel Diseases

Studying genetic data in diverse populations helped improved risk prediction scores for inflammatory bowel diseases.

Genetic data boosts risk prediction for inflammatory bowel diseases

Source: Thinkstock

By Jessica Kent

- Using genetic data from diverse populations could help researchers develop better risk prediction scores for inflammatory bowel diseases, such as Crohn’s disease and ulcerative colitis, according to a study published in Gastroenterology.

Inflammatory bowel diseases (IBD) are complex diseases for which genome-wide association studies (GWAS) have identified over 200 significant specific locations of genes on chromosomes, called loci. Researchers noted that substantial population-based differences exist in major IBD loci, even for relatively common variants shared across populations.

Early detection and treatment can significantly improve treatment outcomes for IBD, so having the ability to accurately predict genetic disease risk in individuals across different races and ethnicities is critical.