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Multiple novel prostate cancer susceptibility signals identified by fine-mapping of known risk loci among Europeans




TekijätAl Olama AA, Dadaev T, Hazelett DJ, Li QY, Leongamornlert D, Saunders EJ, Stephens S, Cieza-Borrella C, Whitmore I, Garcia SB, Giles GG, Southey MC, Fitzgerald L, Gronberg H, Wiklund F, Aly M, Henderson BE, Schumacher F, Haiman CA, Schleutker J, Wahlfors T, Tammela TL, Nordestgaard BG, Key TJ, Travis RC, Neal DE, Donovan JL, Hamdy FC, Pharoah P, Pashayan N, Khaw KT, Stanford JL, Thibodeau SN, Mcdonnell SK, Schaid DJ, Maier C, Vogel W, Luedeke M, Herkommer K, Kibel AS, Cybulski C, Wokolorczyk D, Kluzniak W, Cannon-Albright L, Brenner H, Butterbach K, Arndt V, Park JY, Sellers T, Lin HY, Slavov C, Kaneva R, Mitev V, Batra J, Clements JA, Spurdle A, Teixeira MR, Paulo P, Maia S, Pandha H, Michael A, Kierzek A, Govindasami K, Guy M, Lophatonanon A, Muir K, Vinuela A, Brown AA, Freedman M, Conti DV, Easton D, Coetzee GA, Eeles RA, Kote-Jarai Z

KustantajaOxford University Press

Julkaisuvuosi2015

JournalHuman Molecular Genetics

Tietokannassa oleva lehden nimiHUMAN MOLECULAR GENETICS

Lehden akronyymiHUM MOL GENET

Vuosikerta24

Numero19

Aloitussivu5589

Lopetussivu5602

Sivujen määrä14

ISSN0964-6906

eISSN1460-2083

DOIhttps://doi.org/10.1093/hmg/ddv203


Tiivistelmä

Genome-wide association studies (GWAS) have identified numerous common 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 variation was observed at 39 regions; 35 of which are now described 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-Asian GWAS. 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 now explain similar to 38.9% of the familial relative risk of PrCa, an 8.9% improvement over the previously reported GWAS 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.




Last updated on 2024-26-11 at 23:52