A functional genomics predictive network model identifies regulators of inflammatory bowel disease.

ABSTRACT: A major challenge in inflammatory bowel disease (IBD) is the integration of diverse IBD data sets to construct predictive models of IBD. We present a predictive model of the immune component of IBD that informs causal relationships among loci previously linked to IBD through genome-wide association studies (GWAS) using functional and regulatory annotations that relate to the cells, tissues, and pathophysiology of IBD. Our model consists of individual networks constructed using molecular data generated from intestinal samples isolated from three populations of patients with IBD at different stages of disease. We performed key driver analysis to identify genes predicted to modulate network regulatory states associated with IBD, prioritizing and prospectively validating 12 of the top key driv

SUBMITTER: Peters LA 

PROVIDER: S-EPMC5660607 | biostudies-literature | 2017 Oct

REPOSITORIES: biostudies-literature