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In Silico Functional Pathway Annotation of 86 Established Prostate Cancer Risk Variants

Heritability is one of the strongest risk factors of prostate cancer, emphasizing the importance of the genetic contribution towards prostate cancer risk. To date, 86 established prostate cancer risk variants have been identified by genome-wide association studies (GWAS). To determine if these risk...

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Autores principales: Loo, Lenora W. M., Fong, Aaron Y. W., Cheng, Iona, Le Marchand, Loïc
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4320069/
https://www.ncbi.nlm.nih.gov/pubmed/25658610
http://dx.doi.org/10.1371/journal.pone.0117873
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author Loo, Lenora W. M.
Fong, Aaron Y. W.
Cheng, Iona
Le Marchand, Loïc
author_facet Loo, Lenora W. M.
Fong, Aaron Y. W.
Cheng, Iona
Le Marchand, Loïc
author_sort Loo, Lenora W. M.
collection PubMed
description Heritability is one of the strongest risk factors of prostate cancer, emphasizing the importance of the genetic contribution towards prostate cancer risk. To date, 86 established prostate cancer risk variants have been identified by genome-wide association studies (GWAS). To determine if these risk variants are located near genes that interact together in biological networks or pathways contributing to prostate cancer initiation or progression, we generated gene sets based on proximity to the 86 prostate cancer risk variants. We took two approaches to generate gene lists. The first strategy included all immediate flanking genes, up- and downstream of the risk variant, regardless of distance from the index variant, and the second strategy included genes closest to the index GWAS marker and to variants in high LD (r(2) ≥0.8 in Europeans) with the index variant, within a 100 kb window up- and downstream. Pathway mapping of the two gene sets supported the importance of the androgen receptor-mediated signaling in prostate cancer biology. In addition, the hedgehog and Wnt/β-catenin signaling pathways were identified in pathway mapping for the flanking gene set. We also used the HaploReg resource to examine the 86 risk loci and variants high LD (r(2) ≥0.8) for functional elements. We found that there was a 12.8 fold (p = 2.9 x 10(-4)) enrichment for enhancer motifs in a stem cell line and a 4.4 fold (p = 1.1 x 10(-3)) enrichment of DNase hypersensitivity in a prostate adenocarcinoma cell line, indicating that the risk and correlated variants are enriched for transcriptional regulatory motifs. Our pathway-based functional annotation of the prostate cancer risk variants highlights the potential regulatory function that GWAS risk markers, and their highly correlated variants, exert on genes. Our study also shows that these genes may function cooperatively in key signaling pathways in prostate cancer biology.
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spelling pubmed-43200692015-02-18 In Silico Functional Pathway Annotation of 86 Established Prostate Cancer Risk Variants Loo, Lenora W. M. Fong, Aaron Y. W. Cheng, Iona Le Marchand, Loïc PLoS One Research Article Heritability is one of the strongest risk factors of prostate cancer, emphasizing the importance of the genetic contribution towards prostate cancer risk. To date, 86 established prostate cancer risk variants have been identified by genome-wide association studies (GWAS). To determine if these risk variants are located near genes that interact together in biological networks or pathways contributing to prostate cancer initiation or progression, we generated gene sets based on proximity to the 86 prostate cancer risk variants. We took two approaches to generate gene lists. The first strategy included all immediate flanking genes, up- and downstream of the risk variant, regardless of distance from the index variant, and the second strategy included genes closest to the index GWAS marker and to variants in high LD (r(2) ≥0.8 in Europeans) with the index variant, within a 100 kb window up- and downstream. Pathway mapping of the two gene sets supported the importance of the androgen receptor-mediated signaling in prostate cancer biology. In addition, the hedgehog and Wnt/β-catenin signaling pathways were identified in pathway mapping for the flanking gene set. We also used the HaploReg resource to examine the 86 risk loci and variants high LD (r(2) ≥0.8) for functional elements. We found that there was a 12.8 fold (p = 2.9 x 10(-4)) enrichment for enhancer motifs in a stem cell line and a 4.4 fold (p = 1.1 x 10(-3)) enrichment of DNase hypersensitivity in a prostate adenocarcinoma cell line, indicating that the risk and correlated variants are enriched for transcriptional regulatory motifs. Our pathway-based functional annotation of the prostate cancer risk variants highlights the potential regulatory function that GWAS risk markers, and their highly correlated variants, exert on genes. Our study also shows that these genes may function cooperatively in key signaling pathways in prostate cancer biology. Public Library of Science 2015-02-06 /pmc/articles/PMC4320069/ /pubmed/25658610 http://dx.doi.org/10.1371/journal.pone.0117873 Text en © 2015 Loo et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Loo, Lenora W. M.
Fong, Aaron Y. W.
Cheng, Iona
Le Marchand, Loïc
In Silico Functional Pathway Annotation of 86 Established Prostate Cancer Risk Variants
title In Silico Functional Pathway Annotation of 86 Established Prostate Cancer Risk Variants
title_full In Silico Functional Pathway Annotation of 86 Established Prostate Cancer Risk Variants
title_fullStr In Silico Functional Pathway Annotation of 86 Established Prostate Cancer Risk Variants
title_full_unstemmed In Silico Functional Pathway Annotation of 86 Established Prostate Cancer Risk Variants
title_short In Silico Functional Pathway Annotation of 86 Established Prostate Cancer Risk Variants
title_sort in silico functional pathway annotation of 86 established prostate cancer risk variants
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4320069/
https://www.ncbi.nlm.nih.gov/pubmed/25658610
http://dx.doi.org/10.1371/journal.pone.0117873
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