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

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  • Nada A. Al-Tassan
  • Nicola Whiffin
  • Fay J. Hosking
  • Claire Palles
  • Sara E. Dobbins
  • Rebecca Harris
  • Maggie Gorman
  • Brian F. Meyer
  • Salma M. Wakil
  • Ben Kinnersley
  • Lynn Martin
  • Christopher G. Smith
  • Shelley Idziaszczyk
  • Ella Barclay
  • Timothy S. Maughan
  • Richard Kaplan
  • Rachel Kerr
  • Daniel D. Buchannan
  • Aung Ko Win
  • John Hopper
  • Mark Jenkins
  • Noralane M. Lindor
  • Polly A. Newcomb
  • Steve Gallinger
  • David Conti
  • Fred Schumacher
  • Graham Casey
  • Ian P. Tomlinson
  • Jeremy P. Cheadle
  • Richard S. Houlston

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    Rights statement: This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

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http://www.nature.com/srep/2015/150520/srep10442/full/srep10442.html
Original languageEnglish
Article number10442
Number of pages10
JournalScientific Reports
Volume5
DOIs
StatePublished - 20 May 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 x 10(-8), odds ratio [OR] = 1.21) and at 16q24.1 marked by rs16941835 (MAF = 0.21, P = 5.06 x 10(-8); OR = 1.15) within the long non-coding RNA (lncRNA) RP11-58A18.1 and similar to 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 x 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.

    Research areas

  • GENOME-WIDE ASSOCIATION, SUSCEPTIBILITY LOCI, COMMON VARIATION, COLON-CANCER, MICROSATELLITE INSTABILITY, GENETIC-VARIATION, BREAST-CANCER, LARGE-SCALE, CHEMOTHERAPY, CETUXIMAB

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