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Erratum: A new GWAS and meta-analysis with 1000Genomes imputation identifies novel risk variants for colorectal cancer

Authors :
Salma M. Wakil
Maggie Gorman
Harry Campbell
Sara E. Dobbins
Lynn Martin
Jeremy Peter Cheadle
Shelley Idziaszczyk
Ben Kinnersley
David J. Kerr
Graham Casey
Rebecca Harris
Fay J. Hosking
Ella Barclay
Nicola Whiffin
Aung Ko Win
Malcolm G. Dunlop
Albert Tenesa
Nada Al-Tassan
Fred Schumacher
Susan M. Farrington
John L. Hopper
Steve Gallinger
Tim Maughan
Mark A. Jenkins
Ian Tomlinson
Noralane M. Lindor
David V. Conti
Claire Palles
Polly A. Newcomb
Richard Kaplan
Brian F. Meyer
Christopher Smith
Richard S. Houlston
Daniel D. Buchanan
Rachel Kerr
Source :
Scientific Reports
Publication Year :
2015
Publisher :
Nature Publishing Group, 2015.

Abstract

Genome-wide association studies (GWAS) of colorectal cancer (CRC) have identified 23 susceptibility loci thus far. Analyses of previously conducted GWAS indicate additional risk loci are yet to be discovered. To identify novel CRC susceptibility loci, we conducted a new GWAS and performed a meta-analysis with five published GWAS (totalling 7,577 cases and 9,979 controls of European ancestry), imputing genotypes utilising the 1000 Genomes Project. The combined analysis identified new, significant associations with CRC at 1p36.2 marked by rs72647484 (minor allele frequency [MAF] = 0.09) near CDC42 and WNT4 (P = 1.21 × 10(-8), odds ratio [OR] = 1.21 ) and at 16q24.1 marked by rs16941835 (MAF = 0.21, P = 5.06 × 10(-8); OR = 1.15) within the long non-coding RNA (lncRNA) RP11-58A18.1 and ~500 kb from the nearest coding gene FOXL1. Additionally we identified a promising association at 10p13 with rs10904849 intronic to CUBN (MAF = 0.32, P = 7.01 × 10(-8); OR = 1.14). These findings provide further insights into the genetic and biological basis of inherited genetic susceptibility to CRC. Additionally, our analysis further demonstrates that imputation can be used to exploit GWAS data to identify novel disease-causing variants.

Details

Language :
English
ISSN :
20452322
Volume :
5
Database :
OpenAIRE
Journal :
Scientific Reports
Accession number :
edsair.doi.dedup.....b8893e522bdd037813d3e68ac51a626d