Seven prostate cancer susceptibility loci identified by a multi-stage genome-wide association study

  • Zsofia Kote-Jarai
  • , Ali Amin Al Olama
  • , Graham G. Giles
  • , Gianluca Severi
  • , Johanna Schleutker
  • , Maren Weischer
  • , Daniele Campa
  • , Elio Riboli
  • , Tim Key
  • , Henrik Gronberg
  • , The UK Genetic Prostate Cancer Study Collaborators/British Association of Urological Surgeons’ Section of Oncology
  • , The UK ProtecT Study Collaborators
  • , the Australian Prostate Cancer BioResource
  • , The PRACTICAL (Prostate Cancer Association Group to Investigate Cancer-Associated Alterations in the Genome) Consortium
  • , Jyotsna Batra
  • , Rosalind A. Eeles*
  • *Corresponding author for this work

Research output: Contribution to journalArticleResearchpeer-review

Abstract

Prostate cancer (PrCa) is the most frequently diagnosed male cancer in developed countries. We conducted a multi-stage genome-wide association study for PrCa and previously reported the results of the first two stages, which identified 16 PrCa susceptibility loci. We report here the results of stage 3, in which we evaluated 1,536 SNPs in 4,574 individuals with prostate cancer (cases) and 4,164 controls. We followed up ten new association signals through genotyping in 51,311 samples in 30 studies from the Prostate Cancer Association Group to Investigate Cancer Associated Alterations in the Genome (PRACTICAL) consortium. In addition to replicating previously reported loci, we identified seven new prostate cancer susceptibility loci on chromosomes 2p11, 3q23, 3q26, 5p12, 6p21, 12q13 and Xq12 (P = 4.0 × 10-8 to P = 2.7 × 10-24). We also identified a SNP in TERT more strongly associated with PrCa than that previously reported. More than 40 PrCa susceptibility loci, explaining 425% of the familial risk in this disease, have now been identified. 
Original languageEnglish
Pages (from-to)785-791
Number of pages7
JournalNature Genetics
Volume43
Issue number8
DOIs
Publication statusPublished - 1 Aug 2011
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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