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

Amin Al Olama, A; Dadaev, T; Hazelett, DJ; Li, Q; Leongamornlert, D; Saunders, EJ; Stephens, S; Cieza-Borrella, C; Whitmore, I; Benlloch Garcia, S; et al. Amin Al Olama, A; Dadaev, T; Hazelett, DJ; Li, Q; Leongamornlert, D; Saunders, EJ; Stephens, S; Cieza-Borrella, C; Whitmore, I; Benlloch Garcia, S; 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, K-T; Stanford, JL; Thibodeau, SN; Mcdonnell, SK; Schaid, DJ; Maier, C; Vogel, W; Luedeke, M; Herkommer, K; Kibel, AS; Cybulski, C; Wokołorczyk, D; Kluzniak, W; Cannon-Albright, L; Brenner, H; Butterbach, K; Arndt, V; Park, JY; Sellers, T; Lin, H-Y; 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; Viñuela, A; Brown, AA; Freedman, M; Conti, DV; Easton, D; Coetzee, GA; Eeles, RA; Kote-Jarai, Z (2015) Multiple novel prostate cancer susceptibility signals identified by fine-mapping of known risk loci among Europeans. Human Molecular Genetics, 24 (19). pp. 5589-5602. ISSN 0964-6906 https://doi.org/10.1093/hmg/ddv203
SGUL Authors: Cieza-Borrella, Clara Isabel

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Abstract

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 ∼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.

Item Type: Article
Additional Information: © The Author 2015. Published by Oxford University Press. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
Keywords: Genetics & Heredity, 06 Biological Sciences, 11 Medical and Health Sciences
SGUL Research Institute / Research Centre: Academic Structure > Institute of Medical & Biomedical Education (IMBE)
Academic Structure > Institute of Medical & Biomedical Education (IMBE) > Centre for Biomedical Education (INMEBE)
Journal or Publication Title: Human Molecular Genetics
ISSN: 0964-6906
Language: en
Dates:
DateEvent
1 October 2015Published
29 May 2015Published Online
27 May 2015Accepted
Publisher License: Creative Commons: Attribution 4.0
Projects:
Project IDFunderFunder ID
223175Seventh Framework ProgrammeUNSPECIFIED
C5047/A7357Cancer Research UKhttp://dx.doi.org/10.13039/501100000289
C1287/A10118Cancer Research UKhttp://dx.doi.org/10.13039/501100000289
C5047/A3354Cancer Research UKhttp://dx.doi.org/10.13039/501100000289
C5047/A10692Cancer Research UKhttp://dx.doi.org/10.13039/501100000289
C16913/A6135Cancer Research UKhttp://dx.doi.org/10.13039/501100000289
No. 1 U19 CA 148537-01National Institutes of Healthhttp://dx.doi.org/10.13039/100000002
URI: https://openaccess.sgul.ac.uk/id/eprint/111863
Publisher's version: https://doi.org/10.1093/hmg/ddv203

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