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

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-w...

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Autores principales: 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, Chan, Andrew T., Chang-Claude, Jenny, Du, Mengmeng, Duggan, David, Figueiredo, Jane C., Gallinger, Steven, Giovannucci, Edward L., 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., Nishihara, Reiko, Ogino, Shuji, 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5065124/
https://www.ncbi.nlm.nih.gov/pubmed/27723779
http://dx.doi.org/10.1371/journal.pgen.1006296
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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
Chan, Andrew T.
Chang-Claude, Jenny
Du, Mengmeng
Duggan, David
Figueiredo, Jane C.
Gallinger, Steven
Giovannucci, Edward L.
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.
Nishihara, Reiko
Ogino, Shuji
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
author_facet 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
Chan, Andrew T.
Chang-Claude, Jenny
Du, Mengmeng
Duggan, David
Figueiredo, Jane C.
Gallinger, Steven
Giovannucci, Edward L.
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.
Nishihara, Reiko
Ogino, Shuji
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
author_sort Gong, Jian
collection PubMed
description 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 (P(interaction) = 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.
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spelling pubmed-50651242016-10-27 Genome-Wide Interaction Analyses between Genetic Variants and Alcohol Consumption and Smoking for Risk of Colorectal Cancer 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 Chan, Andrew T. Chang-Claude, Jenny Du, Mengmeng Duggan, David Figueiredo, Jane C. Gallinger, Steven Giovannucci, Edward L. 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. Nishihara, Reiko Ogino, Shuji 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 PLoS Genet Research Article 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 (P(interaction) = 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. Public Library of Science 2016-10-10 /pmc/articles/PMC5065124/ /pubmed/27723779 http://dx.doi.org/10.1371/journal.pgen.1006296 Text en https://creativecommons.org/publicdomain/zero/1.0/ This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 (https://creativecommons.org/publicdomain/zero/1.0/) public domain dedication.
spellingShingle Research Article
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
Chan, Andrew T.
Chang-Claude, Jenny
Du, Mengmeng
Duggan, David
Figueiredo, Jane C.
Gallinger, Steven
Giovannucci, Edward L.
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.
Nishihara, Reiko
Ogino, Shuji
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
Genome-Wide Interaction Analyses between Genetic Variants and Alcohol Consumption and Smoking for Risk of Colorectal Cancer
title Genome-Wide Interaction Analyses between Genetic Variants and Alcohol Consumption and Smoking for Risk of Colorectal Cancer
title_full Genome-Wide Interaction Analyses between Genetic Variants and Alcohol Consumption and Smoking for Risk of Colorectal Cancer
title_fullStr Genome-Wide Interaction Analyses between Genetic Variants and Alcohol Consumption and Smoking for Risk of Colorectal Cancer
title_full_unstemmed Genome-Wide Interaction Analyses between Genetic Variants and Alcohol Consumption and Smoking for Risk of Colorectal Cancer
title_short Genome-Wide Interaction Analyses between Genetic Variants and Alcohol Consumption and Smoking for Risk of Colorectal Cancer
title_sort genome-wide interaction analyses between genetic variants and alcohol consumption and smoking for risk of colorectal cancer
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5065124/
https://www.ncbi.nlm.nih.gov/pubmed/27723779
http://dx.doi.org/10.1371/journal.pgen.1006296
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