Comprehensive functional annotation of 77 prostate cancer risk loci.

Genome-wide association studies (GWAS) have revolutionized the field of cancer genetics, but the causal links between increased genetic risk and onset/progression of disease processes remain to be identified. Here we report the first step in such an endeavor for prostate cancer. We provide a compreh...

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Autores principales: Dennis J Hazelett, Suhn Kyong Rhie, Malaina Gaddis, Chunli Yan, Daniel L Lakeland, Simon G Coetzee, Ellipse/GAME-ON consortium, Practical consortium, Brian E Henderson, Houtan Noushmehr, Wendy Cozen, Zsofia Kote-Jarai, Rosalind A Eeles, Douglas F Easton, Christopher A Haiman, Wange Lu, Peggy J Farnham, Gerhard A Coetzee
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Publicado: Public Library of Science (PLoS) 2014
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Acceso en línea:https://doaj.org/article/3a59b327630346c79a8646ea0eb44590
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spelling oai:doaj.org-article:3a59b327630346c79a8646ea0eb445902021-11-18T06:21:16ZComprehensive functional annotation of 77 prostate cancer risk loci.1553-73901553-740410.1371/journal.pgen.1004102https://doaj.org/article/3a59b327630346c79a8646ea0eb445902014-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/24497837/pdf/?tool=EBIhttps://doaj.org/toc/1553-7390https://doaj.org/toc/1553-7404Genome-wide association studies (GWAS) have revolutionized the field of cancer genetics, but the causal links between increased genetic risk and onset/progression of disease processes remain to be identified. Here we report the first step in such an endeavor for prostate cancer. We provide a comprehensive annotation of the 77 known risk loci, based upon highly correlated variants in biologically relevant chromatin annotations--we identified 727 such potentially functional SNPs. We also provide a detailed account of possible protein disruption, microRNA target sequence disruption and regulatory response element disruption of all correlated SNPs at r(2) ≥ 0.88%. 88% of the 727 SNPs fall within putative enhancers, and many alter critical residues in the response elements of transcription factors known to be involved in prostate biology. We define as risk enhancers those regions with enhancer chromatin biofeatures in prostate-derived cell lines with prostate-cancer correlated SNPs. To aid the identification of these enhancers, we performed genomewide ChIP-seq for H3K27-acetylation, a mark of actively engaged enhancers, as well as the transcription factor TCF7L2. We analyzed in depth three variants in risk enhancers, two of which show significantly altered androgen sensitivity in LNCaP cells. This includes rs4907792, that is in linkage disequilibrium (r(2) = 0.91) with an eQTL for NUDT11 (on the X chromosome) in prostate tissue, and rs10486567, the index SNP in intron 3 of the JAZF1 gene on chromosome 7. Rs4907792 is within a critical residue of a strong consensus androgen response element that is interrupted in the protective allele, resulting in a 56% decrease in its androgen sensitivity, whereas rs10486567 affects both NKX3-1 and FOXA-AR motifs where the risk allele results in a 39% increase in basal activity and a 28% fold-increase in androgen stimulated enhancer activity. Identification of such enhancer variants and their potential target genes represents a preliminary step in connecting risk to disease process.Dennis J HazelettSuhn Kyong RhieMalaina GaddisChunli YanDaniel L LakelandSimon G CoetzeeEllipse/GAME-ON consortiumPractical consortiumBrian E HendersonHoutan NoushmehrWendy CozenZsofia Kote-JaraiRosalind A EelesDouglas F EastonChristopher A HaimanWange LuPeggy J FarnhamGerhard A CoetzeePublic Library of Science (PLoS)articleGeneticsQH426-470ENPLoS Genetics, Vol 10, Iss 1, p e1004102 (2014)
institution DOAJ
collection DOAJ
language EN
topic Genetics
QH426-470
spellingShingle Genetics
QH426-470
Dennis J Hazelett
Suhn Kyong Rhie
Malaina Gaddis
Chunli Yan
Daniel L Lakeland
Simon G Coetzee
Ellipse/GAME-ON consortium
Practical consortium
Brian E Henderson
Houtan Noushmehr
Wendy Cozen
Zsofia Kote-Jarai
Rosalind A Eeles
Douglas F Easton
Christopher A Haiman
Wange Lu
Peggy J Farnham
Gerhard A Coetzee
Comprehensive functional annotation of 77 prostate cancer risk loci.
description Genome-wide association studies (GWAS) have revolutionized the field of cancer genetics, but the causal links between increased genetic risk and onset/progression of disease processes remain to be identified. Here we report the first step in such an endeavor for prostate cancer. We provide a comprehensive annotation of the 77 known risk loci, based upon highly correlated variants in biologically relevant chromatin annotations--we identified 727 such potentially functional SNPs. We also provide a detailed account of possible protein disruption, microRNA target sequence disruption and regulatory response element disruption of all correlated SNPs at r(2) ≥ 0.88%. 88% of the 727 SNPs fall within putative enhancers, and many alter critical residues in the response elements of transcription factors known to be involved in prostate biology. We define as risk enhancers those regions with enhancer chromatin biofeatures in prostate-derived cell lines with prostate-cancer correlated SNPs. To aid the identification of these enhancers, we performed genomewide ChIP-seq for H3K27-acetylation, a mark of actively engaged enhancers, as well as the transcription factor TCF7L2. We analyzed in depth three variants in risk enhancers, two of which show significantly altered androgen sensitivity in LNCaP cells. This includes rs4907792, that is in linkage disequilibrium (r(2) = 0.91) with an eQTL for NUDT11 (on the X chromosome) in prostate tissue, and rs10486567, the index SNP in intron 3 of the JAZF1 gene on chromosome 7. Rs4907792 is within a critical residue of a strong consensus androgen response element that is interrupted in the protective allele, resulting in a 56% decrease in its androgen sensitivity, whereas rs10486567 affects both NKX3-1 and FOXA-AR motifs where the risk allele results in a 39% increase in basal activity and a 28% fold-increase in androgen stimulated enhancer activity. Identification of such enhancer variants and their potential target genes represents a preliminary step in connecting risk to disease process.
format article
author Dennis J Hazelett
Suhn Kyong Rhie
Malaina Gaddis
Chunli Yan
Daniel L Lakeland
Simon G Coetzee
Ellipse/GAME-ON consortium
Practical consortium
Brian E Henderson
Houtan Noushmehr
Wendy Cozen
Zsofia Kote-Jarai
Rosalind A Eeles
Douglas F Easton
Christopher A Haiman
Wange Lu
Peggy J Farnham
Gerhard A Coetzee
author_facet Dennis J Hazelett
Suhn Kyong Rhie
Malaina Gaddis
Chunli Yan
Daniel L Lakeland
Simon G Coetzee
Ellipse/GAME-ON consortium
Practical consortium
Brian E Henderson
Houtan Noushmehr
Wendy Cozen
Zsofia Kote-Jarai
Rosalind A Eeles
Douglas F Easton
Christopher A Haiman
Wange Lu
Peggy J Farnham
Gerhard A Coetzee
author_sort Dennis J Hazelett
title Comprehensive functional annotation of 77 prostate cancer risk loci.
title_short Comprehensive functional annotation of 77 prostate cancer risk loci.
title_full Comprehensive functional annotation of 77 prostate cancer risk loci.
title_fullStr Comprehensive functional annotation of 77 prostate cancer risk loci.
title_full_unstemmed Comprehensive functional annotation of 77 prostate cancer risk loci.
title_sort comprehensive functional annotation of 77 prostate cancer risk loci.
publisher Public Library of Science (PLoS)
publishDate 2014
url https://doaj.org/article/3a59b327630346c79a8646ea0eb44590
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