Meta-analysis of genome-wide association data identifies four new susceptibility loci for colorectal cancer.
;
Peter Broderick;
Alan M Pittman;
Maria Chiara Di Bernardo;
Steven Lubbe;
Ian Chandler;
Jayaram Vijayakrishnan;
Kate Sullivan;
+43 more...
Steven Penegar;
Colorectal Cancer Association Study Consortium;
Luis Carvajal-Carmona;
Kimberley Howarth;
Emma Jaeger;
Sarah L Spain;
Axel Walther;
Ella Barclay;
Lynn Martin;
Maggie Gorman;
Enric Domingo;
Ana S Teixeira;
CoRGI Consortium;
David Kerr;
Jean-Baptiste Cazier;
Iina Niittymäki;
Sari Tuupanen;
Auli Karhu;
Lauri A Aaltonen;
Ian PM Tomlinson;
Susan M Farrington;
Albert Tenesa;
James GD Prendergast;
Rebecca A Barnetson;
Roseanne Cetnarskyj;
Mary E Porteous;
Paul DP Pharoah;
Thibaud Koessler;
Jochen Hampe;
Stephan Buch;
Clemens Schafmayer;
Jurgen Tepel;
Stefan Schreiber;
Henry Völzke;
Jenny Chang-Claude;
Michael Hoffmeister;
Hermann Brenner;
Brent W Zanke;
Alexandre Montpetit;
Thomas J Hudson;
Steven Gallinger;
Harry Campbell;
Malcolm G Dunlop;
(2008)
Meta-analysis of genome-wide association data identifies four new susceptibility loci for colorectal cancer.
Nature genetics, 40 (12).
pp. 1426-1435.
ISSN 1061-4036
DOI: 10.1038/ng.262
Genome-wide association (GWA) studies have identified multiple loci at which common variants modestly influence the risk of developing colorectal cancer (CRC). To enhance power to identify additional loci with similar effect sizes, we conducted a meta-analysis of two GWA studies, comprising 13,315 individuals genotyped for 38,710 common tagging SNPs. We undertook replication testing in up to eight independent case-control series comprising 27,418 subjects. We identified four previously unreported CRC risk loci at 14q22.2 (rs4444235, BMP4; P = 8.1 x 10(-10)), 16q22.1 (rs9929218, CDH1; P = 1.2 x 10(-8)), 19q13.1 (rs10411210, RHPN2; P = 4.6 x 10(-9)) and 20p12.3 (rs961253; P = 2.0 x 10(-10)). These findings underscore the value of large sample series for discovery and follow-up of genetic variants contributing to the etiology of CRC.