Genome-wide meta-analyses of breast, ovarian, and prostate cancer association studies identify multiple new susceptibility loci shared by at least two cancer types

  • Siddhartha P. Kar*
  • , Jonathan Beesley
  • , Ali Amin Al Olama
  • , Kyriaki Michailidou
  • , Jonathan Tyrer
  • , Zsofi A. Kote-Jarai
  • , Kate Lawrenson
  • , Sara Lindstrom
  • , Susan J. Ramus
  • , Deborah J. Thompson
  • , ABCTB Investigators
  • , OCS Study Group & Australian Cancer Study (Ovarian Cancer)
  • , APCB BioResource
  • , kConFab Investigators66
  • , NBCS Investigators
  • , The GENICA Network
  • , The PRACTICAL (Prostate Cancer Association Group to Investigate Cancer-Associated Alterations in the Genome) Consortium
  • *Corresponding author for this work

Research output: Contribution to journalArticleResearchpeer-review

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. SIGNIFICANCE: We demonstrate that combining large-scale GWA meta-analysis findings across cancer types can identify completely new risk loci common to breast, ovarian, and prostate cancers. We show that the identification of such cross-cancer risk loci has the potential to shed new light on the shared biology underlying these hormone-related cancers.
Original languageEnglish
Pages (from-to)1052-1067
Number of pages16
JournalCancer Discovery
Volume6
Issue number9
DOIs
Publication statusPublished - 1 Sept 2016
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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