Abstract
Breast, ovarian, and prostate cancers are hormone-related and may have a shared genetic basis but this has not been investigated systematically by genome-wide association (GWA) studies. Meta-analyses combining the largest GWA meta-analysis data sets for these cancers totaling 112,349 cases and 116,421 controls of European ancestry, all together and in pairs, identified at P < 10-8 seven new cross-cancer loci: three associated with susceptibility to all three cancers (rs17041869/2q13/BCL2L11; rs7937840/11q12/INCENP; rs1469713/19p13/GATAD2A), two breast and ovarian cancer risk loci (rs200182588/9q31/SMC2; rs8037137/15q26/RCCD1), and two breast and prostate cancer risk loci (rs5013329/1p34/NSUN4; rs9375701/6q23/L3MBTL3). Index variants in five additional regions previously associated with only one cancer also showed clear association with a second cancer type. Cell-type specific expression quantitative trait locus and enhancer-gene interaction annotations suggested target genes with potential cross-cancer roles at the new loci. Pathway analysis revealed significant enrichment of death receptor signaling genes near loci with P < 10-5 in the three-cancer meta-analysis.
Original language | English |
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Pages (from-to) | 1052-1067 |
Number of pages | 16 |
Journal | Cancer Discovery |
Volume | 6 |
Issue number | 9 |
Early online date | 17 Jul 2016 |
DOIs | |
Publication status | Published - Sept 2016 |
Research Groups and Themes
- Centre for Surgical Research
Keywords
- breast cancer
- ovarian cancer
- prostate cancer
- genome-wide association studies
- pleiotropy
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Dive into the research topics of 'Genome-wide Meta-analyses of Breast, Ovarian and Prostate Cancer Association Studies Identify Multiple New Susceptibility Loci Shared by At Least Two Cancer Types'. Together they form a unique fingerprint.Profiles
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Professor Jenny L Donovan
- Bristol Medical School (PHS) - Professor of Social Medicine
- Bristol Population Health Science Institute
- Cancer
Person: Academic , Member