Meta-analysis of genome-wide association data identifies four new susceptibility loci for colorectal cancer

L Carvajal-Carmona, K Howarth, E Jaeger, SL Spain… - Nature …, 2008 - nature.com
L Carvajal-Carmona, K Howarth, E Jaeger, SL Spain, A Walther, E Barclay, L Martin…
Nature genetics, 2008nature.com
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 …
Abstract
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 × 10−10), 16q22.1 (rs9929218, CDH1; P = 1.2 × 10−8), 19q13.1 (rs10411210, RHPN2; P = 4.6 × 10−9) and 20p12.3 (rs961253; P = 2.0 × 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.
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