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Integration of multiethnic fine-mapping and genomic annotation to prioritize candidate functional SNPs at prostate cancer susceptibility regions.


ABSTRACT: Interpretation of biological mechanisms underlying genetic risk associations for prostate cancer is complicated by the relatively large number of risk variants (n = 100) and the thousands of surrogate SNPs in linkage disequilibrium. Here, we combined three distinct approaches: multiethnic fine-mapping, putative functional annotation (based upon epigenetic data and genome-encoded features), and expression quantitative trait loci (eQTL) analyses, in an attempt to reduce this complexity. We examined 67 risk regions using genotyping and imputation-based fine-mapping in populations of European (cases/controls: 8600/6946), African (cases/controls: 5327/5136), Japanese (cases/controls: 2563/4391) and Latino (cases/controls: 1034/1046) ancestry. Markers at 55 regions passed a region-specific significance threshold (P-value cutoff range: 3.9 × 10(-4)-5.6 × 10(-3)) and in 30 regions we identified markers that were more significantly associated with risk than the previously reported variants in the multiethnic sample. Novel secondary signals (P < 5.0 × 10(-6)) were also detected in two regions (rs13062436/3q21 and rs17181170/3p12). Among 666 variants in the 55 regions with P-values within one order of magnitude of the most-associated marker, 193 variants (29%) in 48 regions overlapped with epigenetic or other putative functional marks. In 11 of the 55 regions, cis-eQTLs were detected with nearby genes. For 12 of the 55 regions (22%), the most significant region-specific, prostate-cancer associated variant represented the strongest candidate functional variant based on our annotations; the number of regions increased to 20 (36%) and 27 (49%) when examining the 2 and 3 most significantly associated variants in each region, respectively. These results have prioritized subsets of candidate variants for downstream functional evaluation.

SUBMITTER: Han Y 

PROVIDER: S-EPMC4572069 | biostudies-literature | 2015 Oct

REPOSITORIES: biostudies-literature

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Integration of multiethnic fine-mapping and genomic annotation to prioritize candidate functional SNPs at prostate cancer susceptibility regions.

Han Ying Y   Hazelett Dennis J DJ   Wiklund Fredrik F   Schumacher Fredrick R FR   Stram Daniel O DO   Berndt Sonja I SI   Wang Zhaoming Z   Rand Kristin A KA   Hoover Robert N RN   Machiela Mitchell J MJ   Yeager Merideth M   Burdette Laurie L   Chung Charles C CC   Hutchinson Amy A   Yu Kai K   Xu Jianfeng J   Travis Ruth C RC   Key Timothy J TJ   Siddiq Afshan A   Canzian Federico F   Takahashi Atsushi A   Kubo Michiaki M   Stanford Janet L JL   Kolb Suzanne S   Gapstur Susan M SM   Diver W Ryan WR   Stevens Victoria L VL   Strom Sara S SS   Pettaway Curtis A CA   Al Olama Ali Amin AA   Kote-Jarai Zsofia Z   Eeles Rosalind A RA   Yeboah Edward D ED   Tettey Yao Y   Biritwum Richard B RB   Adjei Andrew A AA   Tay Evelyn E   Truelove Ann A   Niwa Shelley S   Chokkalingam Anand P AP   Isaacs William B WB   Chen Constance C   Lindstrom Sara S   Le Marchand Loic L   Giovannucci Edward L EL   Pomerantz Mark M   Long Henry H   Li Fugen F   Ma Jing J   Stampfer Meir M   John Esther M EM   Ingles Sue A SA   Kittles Rick A RA   Murphy Adam B AB   Blot William J WJ   Signorello Lisa B LB   Zheng Wei W   Albanes Demetrius D   Virtamo Jarmo J   Weinstein Stephanie S   Nemesure Barbara B   Carpten John J   Leske M Cristina MC   Wu Suh-Yuh SY   Hennis Anselm J M AJ   Rybicki Benjamin A BA   Neslund-Dudas Christine C   Hsing Ann W AW   Chu Lisa L   Goodman Phyllis J PJ   Klein Eric A EA   Zheng S Lilly SL   Witte John S JS   Casey Graham G   Riboli Elio E   Li Qiyuan Q   Freedman Matthew L ML   Hunter David J DJ   Gronberg Henrik H   Cook Michael B MB   Nakagawa Hidewaki H   Kraft Peter P   Chanock Stephen J SJ   Easton Douglas F DF   Henderson Brian E BE   Coetzee Gerhard A GA   Conti David V DV   Haiman Christopher A CA  

Human molecular genetics 20150710 19


Interpretation of biological mechanisms underlying genetic risk associations for prostate cancer is complicated by the relatively large number of risk variants (n = 100) and the thousands of surrogate SNPs in linkage disequilibrium. Here, we combined three distinct approaches: multiethnic fine-mapping, putative functional annotation (based upon epigenetic data and genome-encoded features), and expression quantitative trait loci (eQTL) analyses, in an attempt to reduce this complexity. We examine  ...[more]

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