QIMR Berghofer

Performance of risk prediction for inflammatory bowel disease based on genotyping platform and genomic risk score method

Abstract

Background: Predicting risk of disease from genotypes is being increasingly proposed for a variety of diagnostic and prognostic purposes. Genome-wide association studies (GWAS) have identified a large number of genome-wide significant susceptibility loci for Crohn's disease (CD) and ulcerative colitis (UC), two subtypes of inflammatory bowel disease (IBD). Recent studies have demonstrated that including only loci that are significantly associated with disease in the prediction model has low predictive power and that power can substantially be improved using a polygenic approach.

Authors Chen, Guo-Bo; Lee, Sang Hong; Montgomery, Grant W.; Wray, Naomi R.; Visscher, Peter M.; Gearry, Richard B.; Lawrance, Ian C.; Andrews, Jane M.; Bampton, Peter; Mahy, Gillian; Bell, Sally; Walsh, Alissa; Connor, Susan; Sparrow, Miles; Bowdler, Lisa M.; Simms, Lisa A.; Krishnaprasad, Krupa; Radford-Smith, Graham L.; Moser, Gerhard
Journal BMC MEDICAL GENETICS
Pages
Volume 18
Date 1/08/2017
Grant ID 1,080,157
Funding Body Australian National Health and Medical Research Council
URL http://www.ncbi.nlm.nih.gov/pubmed/?term=10.1186/s12881-017-0451-2