TY - JOUR
T1 - Multiple novel prostate cancer susceptibility signals identified by fine-mapping of known risk loci among Europeans
AU - The PRACTICAL Consortium
AU - COGS-CRUK GWAS-ELLIPSE (Part of GAME-ON) Initiative
AU - The Australian Prostate Cancer Bioresource
AU - The UK Genetic Prostate Cancer Study Collaborators
AU - The UK ProtecT Study Collaborators
AU - Al Olama, Ali Amin
AU - Dadaev, Tokhir
AU - Hazelett, Dennis J.
AU - Li, Qiuyan
AU - Leongamornlert, Daniel
AU - Saunders, Edward J.
AU - Stephens, Sarah
AU - Cieza-Borrella, Clara
AU - Whitmore, Ian
AU - Garcia, Sara Benlloch
AU - Giles, Graham G.
AU - Southey, Melissa C.
AU - Fitzgerald, Liesel
AU - Gronberg, Henrik
AU - Wiklund, Fredrik
AU - Aly, Markus
AU - Henderson, Brian E.
AU - Schumacher, Fredrick
AU - Haiman, Christopher A.
AU - Schleutker, Johanna
AU - Wahlfors, Tiina
AU - Tammela, Teuvo L.
AU - Nordestgaard, Børge G.
AU - Key, Tim J.
AU - Travis, Ruth C.
AU - Neal, David E.
AU - Donovan, Jenny L.
AU - Hamdy, Freddie C.
AU - Pharoah, Paul
AU - Pashayan, Nora
AU - Khaw, Kay Tee
AU - Stanford, Janet L.
AU - Thibodeau, Stephen N.
AU - Mcdonnell, Shannon K.
AU - Schaid, Daniel J.
AU - Maier, Christiane
AU - Vogel, Walther
AU - Luedeke, Manuel
AU - Herkommer, Kathleen
AU - Kibel, Adam S.
AU - Cybulski, Cezary
AU - Wokolorczyk, Dominika
AU - Kluzniak, Wojciech
AU - Cannon-Albright, Lisa
AU - Brenner, Hermann
AU - Butterbach, Katja
AU - Arndt, Volker
AU - Park, Jong Y.
AU - Sellers, Thomas
AU - Lin, Hui Yi
N1 - Publisher Copyright:
© The Author 2015. Published by Oxford University Press. All rights reserved.
PY - 2015/10/1
Y1 - 2015/10/1
N2 - Genome-wide association studies (GWAS) have identified numerouscommon prostate cancer (PrCa) susceptibility loci. We have fine-mapped 64 GWAS regions known at the conclusion of the iCOGS study using large-scale genotyping and imputation in 25 723 PrCa cases and 26 274 controls of European ancestry. We detected evidence for multiple independent signals at 16 regions, 12 of which contained additional newly identified significant associations. A single signal comprising a spectrum of correlated variationwas observed at 39 regions; 35 of which are nowdescribed by a novel more significantly associated lead SNP, while the originally reported variant remained as the lead SNP only in 4 regions. We also confirmed two association signals in Europeans that had been previously reported only in East-AsianGWAS. Based on statistical evidence and linkage disequilibrium (LD) structure, we have curated and narrowed down the list of the most likely candidate causal variants for each region. Functional annotation using data from ENCODE filtered for PrCa cell lines and eQTL analysis demonstrated significant enrichment for overlap with bio-features within this set. By incorporating the novel risk variants identified here alongside the refined data for existing association signals, we estimate that these loci nowexplain ~38.9% of the familial relative risk of PrCa, an 8.9% improvement over the previously reportedGWAS tag SNPs. This suggests that a significant fraction of the heritability of PrCa may have been hidden during the discovery phase of GWAS, in particular due to the presence of multiple independent signals within the same region.
AB - Genome-wide association studies (GWAS) have identified numerouscommon prostate cancer (PrCa) susceptibility loci. We have fine-mapped 64 GWAS regions known at the conclusion of the iCOGS study using large-scale genotyping and imputation in 25 723 PrCa cases and 26 274 controls of European ancestry. We detected evidence for multiple independent signals at 16 regions, 12 of which contained additional newly identified significant associations. A single signal comprising a spectrum of correlated variationwas observed at 39 regions; 35 of which are nowdescribed by a novel more significantly associated lead SNP, while the originally reported variant remained as the lead SNP only in 4 regions. We also confirmed two association signals in Europeans that had been previously reported only in East-AsianGWAS. Based on statistical evidence and linkage disequilibrium (LD) structure, we have curated and narrowed down the list of the most likely candidate causal variants for each region. Functional annotation using data from ENCODE filtered for PrCa cell lines and eQTL analysis demonstrated significant enrichment for overlap with bio-features within this set. By incorporating the novel risk variants identified here alongside the refined data for existing association signals, we estimate that these loci nowexplain ~38.9% of the familial relative risk of PrCa, an 8.9% improvement over the previously reportedGWAS tag SNPs. This suggests that a significant fraction of the heritability of PrCa may have been hidden during the discovery phase of GWAS, in particular due to the presence of multiple independent signals within the same region.
UR - http://www.scopus.com/inward/record.url?scp=84943753608&partnerID=8YFLogxK
U2 - 10.1093/hmg/ddv203
DO - 10.1093/hmg/ddv203
M3 - Article
C2 - 26025378
AN - SCOPUS:84943753608
SN - 0964-6906
VL - 24
SP - 5589
EP - 5602
JO - Human Molecular Genetics
JF - Human Molecular Genetics
IS - 19
ER -