Genome-Wide Interaction Analyses between Genetic Variants and Alcohol Consumption and Smoking for Risk of Colorectal Cancer

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Author
Gong, Jian
Hutter, Carolyn M.
Newcomb, Polly A.
Ulrich, Cornelia M.
Bien, Stephanie A.
Campbell, Peter T.
Baron, John A.
Berndt, Sonja I.
Bezieau, Stephane
Brenner, Hermann
Casey, Graham
Chang-Claude, Jenny
Du, Mengmeng
Duggan, David
Figueiredo, Jane C.
Gallinger, Steven
Haile, Robert W.
Harrison, Tabitha A.
Hayes, Richard B.
Hoffmeister, Michael
Hopper, John L.
Hudson, Thomas J.
Jeon, Jihyoun
Jenkins, Mark A.
Kocarnik, Jonathan
Küry, Sébastien
Le Marchand, Loic
Lin, Yi
Lindor, Noralane M.
Potter, John D.
Rudolph, Anja
Schoen, Robert E.
Schrotz-King, Petra
Seminara, Daniela
Slattery, Martha L.
Thibodeau, Stephen N.
Thornquist, Mark
Toth, Reka
Wallace, Robert
White, Emily
Jiao, Shuo
Lemire, Mathieu
Hsu, Li
Peters, Ulrike
Note: Order does not necessarily reflect citation order of authors.
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https://doi.org/10.1371/journal.pgen.1006296Metadata
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Gong, J., C. M. Hutter, P. A. Newcomb, C. M. Ulrich, S. A. Bien, P. T. Campbell, J. A. Baron, et al. 2016. “Genome-Wide Interaction Analyses between Genetic Variants and Alcohol Consumption and Smoking for Risk of Colorectal Cancer.” PLoS Genetics 12 (10): e1006296. doi:10.1371/journal.pgen.1006296. http://dx.doi.org/10.1371/journal.pgen.1006296.Abstract
Genome-wide association studies (GWAS) have identified many genetic susceptibility loci for colorectal cancer (CRC). However, variants in these loci explain only a small proportion of familial aggregation, and there are likely additional variants that are associated with CRC susceptibility. Genome-wide studies of gene-environment interactions may identify variants that are not detected in GWAS of marginal gene effects. To study this, we conducted a genome-wide analysis for interaction between genetic variants and alcohol consumption and cigarette smoking using data from the Colon Cancer Family Registry (CCFR) and the Genetics and Epidemiology of Colorectal Cancer Consortium (GECCO). Interactions were tested using logistic regression. We identified interaction between CRC risk and alcohol consumption and variants in the 9q22.32/HIATL1 (Pinteraction = 1.76×10−8; permuted p-value 3.51x10-8) region. Compared to non-/occasional drinking light to moderate alcohol consumption was associated with a lower risk of colorectal cancer among individuals with rs9409565 CT genotype (OR, 0.82 [95% CI, 0.74–0.91]; P = 2.1×10−4) and TT genotypes (OR,0.62 [95% CI, 0.51–0.75]; P = 1.3×10−6) but not associated among those with the CC genotype (p = 0.059). No genome-wide statistically significant interactions were observed for smoking. If replicated our suggestive finding of a genome-wide significant interaction between genetic variants and alcohol consumption might contribute to understanding colorectal cancer etiology and identifying subpopulations with differential susceptibility to the effect of alcohol on CRC risk.Other Sources
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5065124/pdf/Terms of Use
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