Genotype―Environment Interactions in Microsatellite Stable/ Microsatellite Instability-Low Colorectal Cancer: Results from a Genome-Wide Association Study
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 × E) interactions. Therefore, it is unclear whether current hits are modified by environmental...
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creator | FIGUEIREDO, Jane C PABLO LEWINGER, Juan ZANKE, Brent COTTERCHIO, Michelle GALLINGER, Steven JENKINS, Mark HOPPER, John HAILE, Robert NEWCOMB, Polly POTTER, John BARON, John A LE MARCHAND, Loic CHI SONG CASEY, Graham CAMPBELL, Peter T CONTI, David V EDLUND, Christopher K DUGGAN, Dave J RANGREJ, Jagadish LEMIRE, Mathieu HUDSON, Thomas |
description | 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 × 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.
We conducted a systematic search for G × 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.
No G × E interactions were identified that reached genome-wide significance by any of the 3 methods. When analyzing previously reported susceptibility loci, 7 significant G × 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.
Identifying G × 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.
The results from this first genome-wide analysis of G × E in CRC identify several challenges, which may be addressed by large consortium efforts. |
doi_str_mv | 10.1158/1055-9965.epi-10-0675 |
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We conducted a systematic search for G × 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.
No G × E interactions were identified that reached genome-wide significance by any of the 3 methods. When analyzing previously reported susceptibility loci, 7 significant G × 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.
Identifying G × 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.
The results from this first genome-wide analysis of G × E in CRC identify several challenges, which may be addressed by large consortium efforts.</description><identifier>ISSN: 1055-9965</identifier><identifier>EISSN: 1538-7755</identifier><identifier>DOI: 10.1158/1055-9965.epi-10-0675</identifier><identifier>PMID: 21357381</identifier><identifier>CODEN: CEBPE4</identifier><language>eng</language><publisher>Philadelphia, PA: American Association for Cancer Research</publisher><subject>Biological and medical sciences ; Canada - epidemiology ; Case-Control Studies ; Colorectal Neoplasms - epidemiology ; Colorectal Neoplasms - etiology ; Environment ; Female ; Gastroenterology. Liver. Pancreas. Abdomen ; Genome-Wide Association Study ; Genotype ; Humans ; Male ; Medical sciences ; Microsatellite Instability ; Middle Aged ; Phenotype ; Polymorphism, Genetic - genetics ; Quantitative Trait Loci ; Risk Factors ; Stomach. Duodenum. Small intestine. Colon. Rectum. Anus ; Tumors</subject><ispartof>Cancer epidemiology, biomarkers & prevention, 2011-05, Vol.20 (5), p.758-766</ispartof><rights>2015 INIST-CNRS</rights><rights>2011 AACR.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c506t-eca342d036105604b4cf4e33b5408fa1bab992488a3a452a87e826fc7fc28d713</citedby><cites>FETCH-LOGICAL-c506t-eca342d036105604b4cf4e33b5408fa1bab992488a3a452a87e826fc7fc28d713</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,777,781,882,3343,27905,27906</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=24138549$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/21357381$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>FIGUEIREDO, Jane C</creatorcontrib><creatorcontrib>PABLO LEWINGER, Juan</creatorcontrib><creatorcontrib>ZANKE, Brent</creatorcontrib><creatorcontrib>COTTERCHIO, Michelle</creatorcontrib><creatorcontrib>GALLINGER, Steven</creatorcontrib><creatorcontrib>JENKINS, Mark</creatorcontrib><creatorcontrib>HOPPER, John</creatorcontrib><creatorcontrib>HAILE, Robert</creatorcontrib><creatorcontrib>NEWCOMB, Polly</creatorcontrib><creatorcontrib>POTTER, John</creatorcontrib><creatorcontrib>BARON, John A</creatorcontrib><creatorcontrib>LE MARCHAND, Loic</creatorcontrib><creatorcontrib>CHI SONG</creatorcontrib><creatorcontrib>CASEY, Graham</creatorcontrib><creatorcontrib>CAMPBELL, Peter T</creatorcontrib><creatorcontrib>CONTI, David V</creatorcontrib><creatorcontrib>EDLUND, Christopher K</creatorcontrib><creatorcontrib>DUGGAN, Dave J</creatorcontrib><creatorcontrib>RANGREJ, Jagadish</creatorcontrib><creatorcontrib>LEMIRE, Mathieu</creatorcontrib><creatorcontrib>HUDSON, Thomas</creatorcontrib><title>Genotype―Environment Interactions in Microsatellite Stable/ Microsatellite Instability-Low Colorectal Cancer: Results from a Genome-Wide Association Study</title><title>Cancer epidemiology, biomarkers & prevention</title><addtitle>Cancer Epidemiol Biomarkers Prev</addtitle><description>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 × 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.
We conducted a systematic search for G × 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.
No G × E interactions were identified that reached genome-wide significance by any of the 3 methods. When analyzing previously reported susceptibility loci, 7 significant G × 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.
Identifying G × 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.
The results from this first genome-wide analysis of G × E in CRC identify several challenges, which may be addressed by large consortium efforts.</description><subject>Biological and medical sciences</subject><subject>Canada - epidemiology</subject><subject>Case-Control Studies</subject><subject>Colorectal Neoplasms - epidemiology</subject><subject>Colorectal Neoplasms - etiology</subject><subject>Environment</subject><subject>Female</subject><subject>Gastroenterology. Liver. Pancreas. Abdomen</subject><subject>Genome-Wide Association Study</subject><subject>Genotype</subject><subject>Humans</subject><subject>Male</subject><subject>Medical sciences</subject><subject>Microsatellite Instability</subject><subject>Middle Aged</subject><subject>Phenotype</subject><subject>Polymorphism, Genetic - genetics</subject><subject>Quantitative Trait Loci</subject><subject>Risk Factors</subject><subject>Stomach. Duodenum. Small intestine. Colon. Rectum. 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Liver. Pancreas. Abdomen</topic><topic>Genome-Wide Association Study</topic><topic>Genotype</topic><topic>Humans</topic><topic>Male</topic><topic>Medical sciences</topic><topic>Microsatellite Instability</topic><topic>Middle Aged</topic><topic>Phenotype</topic><topic>Polymorphism, Genetic - genetics</topic><topic>Quantitative Trait Loci</topic><topic>Risk Factors</topic><topic>Stomach. Duodenum. Small intestine. Colon. Rectum. 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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.
We conducted a systematic search for G × 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.
No G × E interactions were identified that reached genome-wide significance by any of the 3 methods. When analyzing previously reported susceptibility loci, 7 significant G × 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.
Identifying G × 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.
The results from this first genome-wide analysis of G × E in CRC identify several challenges, which may be addressed by large consortium efforts.</abstract><cop>Philadelphia, PA</cop><pub>American Association for Cancer Research</pub><pmid>21357381</pmid><doi>10.1158/1055-9965.epi-10-0675</doi><tpages>9</tpages><oa>free_for_read</oa></addata></record> |
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source | MEDLINE; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; American Association for Cancer Research |
subjects | Biological and medical sciences Canada - epidemiology Case-Control Studies Colorectal Neoplasms - epidemiology Colorectal Neoplasms - etiology Environment Female Gastroenterology. Liver. Pancreas. Abdomen Genome-Wide Association Study Genotype Humans Male Medical sciences Microsatellite Instability Middle Aged Phenotype Polymorphism, Genetic - genetics Quantitative Trait Loci Risk Factors Stomach. Duodenum. Small intestine. Colon. Rectum. Anus Tumors |
title | Genotype―Environment Interactions in Microsatellite Stable/ Microsatellite Instability-Low Colorectal Cancer: Results from a Genome-Wide Association Study |
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