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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...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2016
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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. |
format | Online Article Text |
id | pubmed-5065124 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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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