Literature DB >> 27449576

Common variants in the obesity-associated genes FTO and MC4R are not associated with risk of colorectal cancer.

Baiyu Yang1, Aaron P Thrift2, Jane C Figueiredo3, Mark A Jenkins4, Fredrick R Schumacher3, David V Conti3, Yi Lin5, Aung Ko Win4, Paul J Limburg6, Sonja I Berndt7, Hermann Brenner8, Andrew T Chan9, Jenny Chang-Claude10, Michael Hoffmeister11, Thomas J Hudson12, Loïc Le Marchand13, Polly A Newcomb14, Martha L Slattery15, Emily White14, Ulrike Peters14, Graham Casey3, Peter T Campbell16.   

Abstract

BACKGROUND: Obesity is a convincing risk factor for colorectal cancer. Genetic variants in or near FTO and MC4R are consistently associated with body mass index and other body size measures, but whether they are also associated with colorectal cancer risk is unclear.
METHODS: In the discovery stage, we tested associations of 677 FTO and 323 MC4R single nucleotide polymorphisms (SNPs) 100kb upstream and 300kb downstream from each respective locus with risk of colorectal cancer in data from the Colon Cancer Family Registry (CCFR: 1960 cases; 1777 controls). Next, all SNPs that were nominally statistically significant (p<0.05) in the discovery stage were included in replication analyses in data from the Genetics and Epidemiology of Colorectal Cancer Consortium (GECCO: 9716 cases; 9844 controls).
RESULTS: In the discovery stage, 43 FTO variants and 18 MC4R variants were associated with colorectal cancer risk (p<0.05). No SNPs remained statistically significant in the replication analysis after accounting for multiple comparisons.
CONCLUSION: We found no evidence that individual variants in or near the obesity-related genes FTO and MC4R are associated with risk of colorectal cancer.
Copyright © 2016 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Case-control study; Colorectal cancer; Genetic variants; Obesity

Mesh:

Substances:

Year:  2016        PMID: 27449576      PMCID: PMC5125024          DOI: 10.1016/j.canep.2016.07.003

Source DB:  PubMed          Journal:  Cancer Epidemiol        ISSN: 1877-7821            Impact factor:   2.984


  11 in total

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Authors:  A Tenesa; H Campbell; E Theodoratou; L Dunlop; R Cetnarskyj; S M Farrington; M G Dunlop
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Journal:  Gastroenterology       Date:  2012-12-22       Impact factor: 22.682

10.  Gene-based meta-analysis of genome-wide association studies implicates new loci involved in obesity.

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Journal:  Hum Mol Genet       Date:  2015-09-16       Impact factor: 6.150

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