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

Authors :
Suh Yuh Wu
Meir J. Stampfer
Fredrick R. Schumacher
Rick A. Kittles
Ying Han
Jing Ma
Edward Giovannucci
Constance Chen
Robert N. Hoover
Anand P. Chokkalingam
Demetrius Albanes
Gerhard A. Coetzee
Dennis J. Hazelett
Janet L. Stanford
Rosalind A. Eeles
Fredrik Wiklund
Henry W. Long
John S. Witte
John D. Carpten
Jarmo Virtamo
Zhaoming Wang
Laurie Burdette
Sue A. Ingles
Peter Kraft
Ruth C. Travis
Christine Neslund-Dudas
Charles C. Chung
William J. Blot
Ann W. Hsing
Evelyn Tay
Susan M. Gapstur
Richard B. Biritwum
Kristin A. Rand
Jianfeng Xu
Graham Casey
Atsushi Takahashi
Lisa B. Signorello
Suzanne Kolb
S. Lilly Zheng
Sonja I. Berndt
Phyllis J. Goodman
Daniel O. Stram
W. Ryan Diver
Anselm Hennis
S. Lindstrom
Stephen J. Chanock
Michiaki Kubo
Sara S. Strom
Federico Canzian
Brian E. Henderson
Lisa Chu
Amy Hutchinson
M. Yeager
Elio Riboli
Kai Yu
Afshan Siddiq
Stephanie J. Weinstein
David V. Conti
David J. Hunter
Zsofia Kote-Jarai
Fugen Li
Ali Amin Al Olama
Andrew A. Adjei
Michael B. Cook
Curtis A. Pettaway
Wei Zheng
Edward D. Yeboah
Christopher A. Haiman
Victoria L. Stevens
William B. Isaacs
Hidewaki Nakagawa
Barbara Nemesure
Loic Le Marchand
Matthew L. Freedman
Adam B. Murphy
M. Cristina Leske
Timothy J. Key
Ann Truelove
Mark Pomerantz
Shelley Niwa
Mitchell J. Machiela
Yao Tettey
Benjamin A. Rybicki
Henrik Grönberg
Eric A. Klein
Qiyuan Li
Esther M. John
Douglas F. Easton
National Institutes of Health
Source :
Human molecular genetics, vol 24, iss 19
Publication Year :
2015
Publisher :
Oxford University Press, 2015.

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 genomeencoded 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 5604 | Human Molecular Genetics, 2015, Vol. 24, No. 19 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.

Details

Language :
English
Database :
OpenAIRE
Journal :
Human molecular genetics, vol 24, iss 19
Accession number :
edsair.doi.dedup.....8c0a020fffb29d903c8ac17a021f8f7d