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Meta-analysis of three genome-wide association studies identifies susceptibility loci for colorectal cancer at 1q41, 3q26.2, 12q13.13 and 20q13.33.

Richard S Houlston | Jeremy Cheadle | Sara E Dobbins | Albert Tenesa | Angela M Jones | Kimberley Howarth | Sarah L Spain | Peter Broderick | Enric Domingo | Susan Farrington | James G D Prendergast | Alan M Pittman | Evi Theodoratou | Christopher G Smith | Bianca Olver | Axel Walther | Rebecca A Barnetson | Michael Churchman | Emma E M Jaeger | Steven Penegar | Ella Barclay | Lynn Martin | Maggie Gorman | Rachel Mager | Elaine Johnstone | Rachel Midgley | Iina Niittymäki | Sari Tuupanen | James Colley | Shelley Idziaszczyk | COGENT Consortium | Huw J W Thomas | Anneke M Lucassen | D Gareth R Evans | Eamonn R Maher | CORGI Consortium | COIN Collaborative Group | COINB Collaborative Group | Timothy Maughan | Antigone Dimas | Emmanouil Dermitzakis | Jean-Baptiste Cazier | Lauri A Aaltonen | Paul Pharoah | David J Kerr | Luis G Carvajal-Carmona | Harry Campbell | Malcolm G Dunlop | Ian P M Tomlinson
Nature genetics | 2010

Genome-wide association studies (GWAS) have identified ten loci harboring common variants that influence risk of developing colorectal cancer (CRC). To enhance the power to identify additional CRC risk loci, we conducted a meta-analysis of three GWAS from the UK which included a total of 3,334 affected individuals (cases) and 4,628 controls followed by multiple validation analyses including a total of 18,095 cases and 20,197 controls. We identified associations at four new CRC risk loci: 1q41 (rs6691170, odds ratio (OR) = 1.06, P = 9.55 × 10⁻¹⁰ and rs6687758, OR = 1.09, P = 2.27 × 10⁻⁹, 3q26.2 (rs10936599, OR = 0.93, P = 3.39 × 10⁻⁸), 12q13.13 (rs11169552, OR = 0.92, P = 1.89 × 10⁻¹⁰ and rs7136702, OR = 1.06, P = 4.02 × 10⁻⁸) and 20q13.33 (rs4925386, OR = 0.93, P = 1.89 × 10⁻¹⁰). In addition to identifying new CRC risk loci, this analysis provides evidence that additional CRC-associated variants of similar effect size remain to be discovered.

Pubmed ID: 20972440 RIS Download

Research resources used in this publication

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Antibodies used in this publication

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Associated grants

  • Agency: Medical Research Council, United Kingdom
    Id: G0000657-53203
  • Agency: Wellcome Trust, United Kingdom
  • Agency: Medical Research Council, United Kingdom
    Id: MC_U127527198
  • Agency: Medical Research Council, United Kingdom
    Id: MC_U122861325
  • Agency: Cancer Research UK, United Kingdom
    Id: A10124
  • Agency: Cancer Research UK, United Kingdom
    Id: A10119
  • Agency: Medical Research Council, United Kingdom
    Id: G0301096
  • Agency: Cancer Research UK, United Kingdom
    Id: 10124
  • Agency: Medical Research Council, United Kingdom
    Id: MR/K001744/1
  • Agency: Chief Scientist Office, United Kingdom
    Id: CZB/4/449
  • Agency: Cancer Research UK, United Kingdom
    Id: 10119

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SNAP - SNP Annotation and Proxy Search (tool)

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A computer program and web-based service for the rapid retrieval of linkage disequilibrium proxy single nucleotide polymorphism (SNP) results given input of one or more query SNPs and based on empirical observations from the International HapMap Project and the 1000 Genomes Project. A series of filters allow users to optionally retrieve results that are limited to specific combinations of genotyping platforms, above specified pairwise r2 thresholds, or up to a maximum distance between query and proxy SNPs. SNAP can also generate linkage disequilibrium plots

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RRID:SCR_010233

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RRID:SCR_012763

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RRID:SCR_002846

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RRID:SCR_003076

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