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Meta-analysis of mismatch repair polymorphisms within the cogent consortium for colorectal cancer susceptibility.

Authors :
Simone Picelli
Justo Lorenzo Bermejo
Jenny Chang-Claude
Michael Hoffmeister
Ceres Fernández-Rozadilla
Angel Carracedo
Antoni Castells
Sergi Castellví-Bel
Memebers of EPICOLON Consortium-Gastrointestinal Oncology Group of the Spanish Gastroenterological Association
Alessio Naccarati
Barbara Pardini
Ludmila Vodickova
Heiko Müller
Bente A Talseth-Palmer
Geoffrey Stibbard
Paolo Peterlongo
Carmela Nici
Silvia Veneroni
Li Li
Graham Casey
Albert Tenesa
Susan M Farrington
Ian Tomlinson
Victor Moreno
Tom van Wezel
Juul Wijnen
Malcolm Dunlop
Paolo Radice
Rodney J Scott
Pavel Vodicka
Clara Ruiz-Ponte
Hermann Brenner
Stephan Buch
Henry Völzke
Jochen Hampe
Clemens Schafmayer
Annika Lindblom
Source :
PLoS ONE, Vol 8, Iss 9, p e72091 (2013)
Publication Year :
2013
Publisher :
Public Library of Science (PLoS), 2013.

Abstract

In the last four years, Genome-Wide Association Studies (GWAS) have identified sixteen low-penetrance polymorphisms on fourteen different loci associated with colorectal cancer (CRC). Due to the low risks conferred by known common variants, most of the 35% broad-sense heritability estimated by twin studies remains unexplained. Recently our group performed a case-control study for eight Single Nucleotide Polymorphisms (SNPs) in 4 CRC genes. The present investigation is a follow-up of that study. We have genotyped six SNPs that showed a positive association and carried out a meta-analysis based on eight additional studies comprising in total more than 8000 cases and 6000 controls. The estimated recessive odds ratio for one of the SNPs, rs3219489 (MUTYH Q338H), decreased from 1.52 in the original Swedish study, to 1.18 in the Swedish replication, and to 1.08 in the initial meta-analysis. Since the corresponding summary probability value was 0.06, we decided to retrieve additional information for this polymorphism. The incorporation of six further studies resulted in around 13000 cases and 13000 controls. The newly updated OR was 1.03. The results from the present large, multicenter study illustrate the possibility of decreasing effect sizes with increasing samples sizes. Phenotypic heterogeneity, differential environmental exposures, and population specific linkage disequilibrium patterns may explain the observed difference of genetic effects between Sweden and the other investigated cohorts.

Subjects

Subjects :
Medicine
Science

Details

Language :
English
ISSN :
19326203
Volume :
8
Issue :
9
Database :
Directory of Open Access Journals
Journal :
PLoS ONE
Publication Type :
Academic Journal
Accession number :
edsdoj.13184ab44794a9293d99fbc21b12660
Document Type :
article
Full Text :
https://doi.org/10.1371/journal.pone.0072091