A meta-analysis of 87,040 individuals identifies 23 new susceptibility loci for prostate cancer

Research output: Contribution to journalLetterResearchpeer-review

  • Ali Amin Al Olama
  • Zsofia Kote-Jarai
  • Sonja I Berndt
  • David V Conti
  • Fredrick Schumacher
  • Ying Han
  • Sara Benlloch
  • Dennis J Hazelett
  • Zhaoming Wang
  • Ed Saunders
  • Daniel Leongamornlert
  • Sara Lindstrom
  • Sara Jugurnauth-Little
  • Tokhir Dadaev
  • Malgorzata Tymrakiewicz
  • Daniel O Stram
  • Kristin Rand
  • Peggy Wan
  • Alex Stram
  • Xin Sheng
  • Loreall C Pooler
  • Karen Park
  • Lucy Xia
  • Jonathan Tyrer
  • Laurence N Kolonel
  • Loic Le Marchand
  • Robert N Hoover
  • Mitchell J Machiela
  • Merideth Yeager
  • Laurie Burdette
  • Charles C Chung
  • Amy Hutchinson
  • Kai Yu
  • Chee Goh
  • Mahbubl Ahmed
  • Koveela Govindasami
  • Michelle Guy
  • Teuvo L J Tammela
  • Anssi Auvinen
  • Tiina Wahlfors
  • Johanna Schleutker
  • Tapio Visakorpi
  • Katri A Leinonen
  • Jianfeng Xu
  • Markus Aly
  • Jenny Donovan
  • Ruth C Travis
  • Tim J Key
  • Røder, Andreas
  • Peter Iversen
  • Breast and Prostate Cancer Cohort Consortium (BPC3)

Genome-wide association studies (GWAS) have identified 76 variants associated with prostate cancer risk predominantly in populations of European ancestry. To identify additional susceptibility loci for this common cancer, we conducted a meta-analysis of > 10 million SNPs in 43,303 prostate cancer cases and 43,737 controls from studies in populations of European, African, Japanese and Latino ancestry. Twenty-three new susceptibility loci were identified at association P < 5 × 10(-8); 15 variants were identified among men of European ancestry, 7 were identified in multi-ancestry analyses and 1 was associated with early-onset prostate cancer. These 23 variants, in combination with known prostate cancer risk variants, explain 33% of the familial risk for this disease in European-ancestry populations. These findings provide new regions for investigation into the pathogenesis of prostate cancer and demonstrate the usefulness of combining ancestrally diverse populations to discover risk loci for disease.

Original languageEnglish
JournalNature Genetics
Volume46
Issue number10
Pages (from-to)1103-1109
Number of pages7
ISSN1061-4036
DOIs
Publication statusPublished - 2014

    Research areas

  • Genetic Loci, Genetic Predisposition to Disease, Genome-Wide Association Study, Genotype, Humans, Male, Polymorphism, Single Nucleotide, Prostatic Neoplasms, Risk Assessment, Risk Factors

ID: 138806412