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

Author

Picelli, Simone

Bermejo, Justo Lorenzo

Chang-Claude, Jenny

Hoffmeister, Michael

Fernández-Rozadilla, Ceres

Carracedo, Angel

Castells, Antoni

Castellví-Bel, Sergi

Naccarati, Alessio

Pardini, Barbara

Vodickova, Ludmila

Müller, Heiko

Talseth-Palmer, Bente A.

Stibbard, Geoffrey

Peterlongo, Paolo

Nici, Carmela

Veneroni, Silvia

Li, Li

Casey, Graham

Tenesa, Albert

Farrington, Susan M.

Tomlinson, Ian

Moreno, Víctor

Van Wezel, Tom

Wijnen, Juul

Dunlop, Malcolm

Radice, Paolo

Scott, Rodney J.

Vodicka, Pavel

Ruiz-Ponte, Clara

Brenner, Hermann

Buch, Stephan

Völzke, Henry

Hampe, Jochen

Schafmayer, Clemens

Lindblom, Annika

Publication date

2015-06-26T11:17:51Z

2015-06-26T11:17:51Z

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 followup 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.

Document Type

article
publishedVersion

Language

English

Publisher

Public Library of Science

Related items

Reproducció del document publicat a https://doi.org/10.1371/journal.pone.0072091

PLoS One, 2013, vol. 8, núm. 9, e72091

Rights

cc-by, (c) Picelli et al., 2013

http://creativecommons.org/licenses/by/3.0/es/

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