Identification of 23 new prostate cancer susceptibility loci using the iCOGS custom genotyping array

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

  • Rosalind A Eeles
  • Ali Amin Al Olama
  • Sara Benlloch
  • Edward J Saunders
  • Daniel A Leongamornlert
  • Malgorzata Tymrakiewicz
  • Maya Ghoussaini
  • Craig Luccarini
  • Joe Dennis
  • Sarah Jugurnauth-Little
  • Tokhir Dadaev
  • David E Neal
  • Freddie C Hamdy
  • Jenny L Donovan
  • Ken Muir
  • Graham G Giles
  • Gianluca Severi
  • Fredrik Wiklund
  • Henrik Gronberg
  • Christopher A Haiman
  • Fredrick Schumacher
  • Brian E Henderson
  • Loic Le Marchand
  • Sara Lindstrom
  • Peter Kraft
  • David J Hunter
  • Susan Gapstur
  • Stephen J Chanock
  • Sonja I Berndt
  • Demetrius Albanes
  • Gerald Andriole
  • Johanna Schleutker
  • Maren Weischer
  • Federico Canzian
  • Elio Riboli
  • Tim J Key
  • Ruth C Travis
  • Daniele Campa
  • Sue A Ingles
  • Esther M John
  • Richard B Hayes
  • Paul D P Pharoah
  • Nora Pashayan
  • Kay-Tee Khaw
  • Janet L Stanford
  • Elaine A Ostrander
  • Lisa B Signorello
  • Stephen N Thibodeau
  • Dan Schaid
  • Nordestgaard, Børge
  • The COGS–Cancer Research UK GWAS–ELLIPSE (part of GAME-ON) Initiative
Prostate cancer is the most frequently diagnosed cancer in males in developed countries. To identify common prostate cancer susceptibility alleles, we genotyped 211,155 SNPs on a custom Illumina array (iCOGS) in blood DNA from 25,074 prostate cancer cases and 24,272 controls from the international PRACTICAL Consortium. Twenty-three new prostate cancer susceptibility loci were identified at genome-wide significance (P <5 × 10(-8)). More than 70 prostate cancer susceptibility loci, explaining ∼30% of the familial risk for this disease, have now been identified. On the basis of combined risks conferred by the new and previously known risk loci, the top 1% of the risk distribution has a 4.7-fold higher risk than the average of the population being profiled. These results will facilitate population risk stratification for clinical studies.
OriginalsprogEngelsk
TidsskriftNature Genetics
Vol/bind45
Udgave nummer4
Sider (fra-til)385-391
Antal sider7
ISSN1061-4036
DOI
StatusUdgivet - 2013

ID: 48539775