Conference Proceedings
Functionally informed genome-wide interaction analysis of nonsteroidal anti-inflammatory drugs on colorectal cancer risk
Xiaoliang Wang, Yu-Ru Su, Andrew T Chan, Stephanie Bien, Sonja I Bernt, Hermann Brenner, Graham Casey, Jenny Chang-Claude, Steven J Gallinger, Robert W Haile, Tabitha A Harrison, Michael Hoffmeister, Mark A Jenkins, Amit Joshi, Yi Lin, Noralane M Lindor, Loic Le Marchand, Hongmei Nan, Polly A Newcomb, John D Potter Show all
CANCER RESEARCH | AMER ASSOC CANCER RESEARCH | Published : 2018
Abstract
Abstract Background Regular use of aspirin and other non-steroidal anti-inflammatory drugs (NSAIDs) is associated with lower risk of colorectal cancer (CRC). Genome-wide interaction analysis (GxE) has identified a few variants that may modify the effects of NSAIDs on CRC risk. However, limited statistical power remains a concern. Restricting analyses by using functional genomic information to aggregate variants into biologically relevant sets can reduce the number of tests, thereby increasing statistical power. We tested the interactions between variant models of gene expression and NSAIDs use on CRC risk. Methods Functional weights of each variant were estimate..
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