Journal
CANCER EPIDEMIOLOGY BIOMARKERS & PREVENTION
Volume 20, Issue 5, Pages 758-766Publisher
AMER ASSOC CANCER RESEARCH
DOI: 10.1158/1055-9965.EPI-10-0675
Keywords
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Funding
- National Cancer Institute, NIH, under RFA [CA-95-011]
- Australasian Colorectal Cancer Family Registry [U01 CA097735]
- Ontario Registry for Studies of Familial Colorectal Cancer [U01 CA074783]
- Seattle Colorectal Cancer Family Registry [U01 CA074794]
- NIH/NCI [U01CA122839 GWAS]
- Canadian Cancer Society Research Institute
- Ontario Institute for Cancer Research
- Ontario Ministry of Research and Innovation
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Background: Genome-wide association studies (GWAS) have led to the identification of a number of common susceptibility loci for colorectal cancer (CRC); however, none of these GWAS have considered gene-environment (G x E) interactions. Therefore, it is unclear whether current hits are modified by environmental exposures or whether there are additional hits whose effects are dependent on environmental exposures. Methods: We conducted a systematic search for G x E interactions using genome wide data from the Colon Cancer Family Registry that included 1,191 cases of microsatellite stable (MSS) or microsatellite instability-low (MSI-L) CRC and 999 controls genotyped using either the Illumina Human1M or Human1M-Duo BeadChip. We tested for interactions between genotypes and 14 environmental factors using 3 methods: a traditional case-control test, a case-only test, and the recently proposed 2-step method by Murcray and colleagues. All potentially significant findings were replicated in the ARCTIC Study. Results: No G x E interactions were identified that reached genome-wide significance by any of the 3 methods. When analyzing previously reported susceptibility loci, 7 significant G x E interactions were found at a 5% significance level. We investigated these 7 interactions in an independent sample and none of the interactions were replicated. Conclusions: Identifying G x E interactions will present challenges in a GWAS setting. Our power calculations illustrate the need for larger sample sizes; however, as CRC is a heterogeneous disease, a tradeoff between increasing sample size and heterogeneity needs to be considered. Impact: The results from this first genome-wide analysis of G x E in CRC identify several challenges, which may be addressed by large consortium efforts. Cancer Epidemiol Biomarkers Prev; 20(5); 758-66. (C)2011 AACR.
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