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Large-Scale Pathway-Based Analysis of Bladder Cancer Genome-Wide Association Data from Five Studies of European Background

Pathway analysis of genome-wide association studies (GWAS) offer a unique opportunity to collectively evaluate genetic variants with effects that are too small to be detected individually. We applied a pathway analysis to a bladder cancer GWAS containing data from 3,532 cases and 5,120 controls of E...

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Autores principales: Menashe, Idan, Figueroa, Jonine D., Garcia-Closas, Montserrat, Chatterjee, Nilanjan, Malats, Nuria, Picornell, Antoni, Maeder, Dennis, Yang, Qi, Prokunina-Olsson, Ludmila, Wang, Zhaoming, Real, Francisco X., Jacobs, Kevin B., Baris, Dalsu, Thun, Michael, Albanes, Demetrius, Purdue, Mark P., Kogevinas, Manolis, Hutchinson, Amy, Fu, Yi-Ping, Tang, Wei, Burdette, Laurie, Tardón, Adonina, Serra, Consol, Carrato, Alfredo, García-Closas, Reina, Lloreta, Josep, Johnson, Alison, Schwenn, Molly, Schned, Alan, Andriole, Gerald, Black, Amanda, Jacobs, Eric J., Diver, Ryan W., Gapstur, Susan M., Weinstein, Stephanie J., Virtamo, Jarmo, Caporaso, Neil E., Landi, Maria Teresa, Fraumeni, Joseph F., Chanock, Stephen J., Silverman, Debra T., Rothman, Nathaniel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3251580/
https://www.ncbi.nlm.nih.gov/pubmed/22238607
http://dx.doi.org/10.1371/journal.pone.0029396
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author Menashe, Idan
Figueroa, Jonine D.
Garcia-Closas, Montserrat
Chatterjee, Nilanjan
Malats, Nuria
Picornell, Antoni
Maeder, Dennis
Yang, Qi
Prokunina-Olsson, Ludmila
Wang, Zhaoming
Real, Francisco X.
Jacobs, Kevin B.
Baris, Dalsu
Thun, Michael
Albanes, Demetrius
Purdue, Mark P.
Kogevinas, Manolis
Hutchinson, Amy
Fu, Yi-Ping
Tang, Wei
Burdette, Laurie
Tardón, Adonina
Serra, Consol
Carrato, Alfredo
García-Closas, Reina
Lloreta, Josep
Johnson, Alison
Schwenn, Molly
Schned, Alan
Andriole, Gerald
Black, Amanda
Jacobs, Eric J.
Diver, Ryan W.
Gapstur, Susan M.
Weinstein, Stephanie J.
Virtamo, Jarmo
Caporaso, Neil E.
Landi, Maria Teresa
Fraumeni, Joseph F.
Chanock, Stephen J.
Silverman, Debra T.
Rothman, Nathaniel
author_facet Menashe, Idan
Figueroa, Jonine D.
Garcia-Closas, Montserrat
Chatterjee, Nilanjan
Malats, Nuria
Picornell, Antoni
Maeder, Dennis
Yang, Qi
Prokunina-Olsson, Ludmila
Wang, Zhaoming
Real, Francisco X.
Jacobs, Kevin B.
Baris, Dalsu
Thun, Michael
Albanes, Demetrius
Purdue, Mark P.
Kogevinas, Manolis
Hutchinson, Amy
Fu, Yi-Ping
Tang, Wei
Burdette, Laurie
Tardón, Adonina
Serra, Consol
Carrato, Alfredo
García-Closas, Reina
Lloreta, Josep
Johnson, Alison
Schwenn, Molly
Schned, Alan
Andriole, Gerald
Black, Amanda
Jacobs, Eric J.
Diver, Ryan W.
Gapstur, Susan M.
Weinstein, Stephanie J.
Virtamo, Jarmo
Caporaso, Neil E.
Landi, Maria Teresa
Fraumeni, Joseph F.
Chanock, Stephen J.
Silverman, Debra T.
Rothman, Nathaniel
author_sort Menashe, Idan
collection PubMed
description Pathway analysis of genome-wide association studies (GWAS) offer a unique opportunity to collectively evaluate genetic variants with effects that are too small to be detected individually. We applied a pathway analysis to a bladder cancer GWAS containing data from 3,532 cases and 5,120 controls of European background (n = 5 studies). Thirteen hundred and ninety-nine pathways were drawn from five publicly available resources (Biocarta, Kegg, NCI-PID, HumanCyc, and Reactome), and we constructed 22 additional candidate pathways previously hypothesized to be related to bladder cancer. In total, 1421 pathways, 5647 genes and ∼90,000 SNPs were included in our study. Logistic regression model adjusting for age, sex, study, DNA source, and smoking status was used to assess the marginal trend effect of SNPs on bladder cancer risk. Two complementary pathway-based methods (gene-set enrichment analysis [GSEA], and adapted rank-truncated product [ARTP]) were used to assess the enrichment of association signals within each pathway. Eighteen pathways were detected by either GSEA or ARTP at P≤0.01. To minimize false positives, we used the I(2) statistic to identify SNPs displaying heterogeneous effects across the five studies. After removing these SNPs, seven pathways (‘Aromatic amine metabolism’ [P(GSEA) = 0.0100, P(ARTP) = 0.0020], ‘NAD biosynthesis’ [P(GSEA) = 0.0018, P(ARTP) = 0.0086], ‘NAD salvage’ [P(ARTP) = 0.0068], ‘Clathrin derived vesicle budding’ [P(ARTP) = 0.0018], ‘Lysosome vesicle biogenesis’ [P(GSEA) = 0.0023, P(ARTP)<0.00012], ’Retrograde neurotrophin signaling’ [P(GSEA) = 0.00840], and ‘Mitotic metaphase/anaphase transition’ [P(GSEA) = 0.0040]) remained. These pathways seem to belong to three fundamental cellular processes (metabolic detoxification, mitosis, and clathrin-mediated vesicles). Identification of the aromatic amine metabolism pathway provides support for the ability of this approach to identify pathways with established relevance to bladder carcinogenesis.
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spelling pubmed-32515802012-01-11 Large-Scale Pathway-Based Analysis of Bladder Cancer Genome-Wide Association Data from Five Studies of European Background Menashe, Idan Figueroa, Jonine D. Garcia-Closas, Montserrat Chatterjee, Nilanjan Malats, Nuria Picornell, Antoni Maeder, Dennis Yang, Qi Prokunina-Olsson, Ludmila Wang, Zhaoming Real, Francisco X. Jacobs, Kevin B. Baris, Dalsu Thun, Michael Albanes, Demetrius Purdue, Mark P. Kogevinas, Manolis Hutchinson, Amy Fu, Yi-Ping Tang, Wei Burdette, Laurie Tardón, Adonina Serra, Consol Carrato, Alfredo García-Closas, Reina Lloreta, Josep Johnson, Alison Schwenn, Molly Schned, Alan Andriole, Gerald Black, Amanda Jacobs, Eric J. Diver, Ryan W. Gapstur, Susan M. Weinstein, Stephanie J. Virtamo, Jarmo Caporaso, Neil E. Landi, Maria Teresa Fraumeni, Joseph F. Chanock, Stephen J. Silverman, Debra T. Rothman, Nathaniel PLoS One Research Article Pathway analysis of genome-wide association studies (GWAS) offer a unique opportunity to collectively evaluate genetic variants with effects that are too small to be detected individually. We applied a pathway analysis to a bladder cancer GWAS containing data from 3,532 cases and 5,120 controls of European background (n = 5 studies). Thirteen hundred and ninety-nine pathways were drawn from five publicly available resources (Biocarta, Kegg, NCI-PID, HumanCyc, and Reactome), and we constructed 22 additional candidate pathways previously hypothesized to be related to bladder cancer. In total, 1421 pathways, 5647 genes and ∼90,000 SNPs were included in our study. Logistic regression model adjusting for age, sex, study, DNA source, and smoking status was used to assess the marginal trend effect of SNPs on bladder cancer risk. Two complementary pathway-based methods (gene-set enrichment analysis [GSEA], and adapted rank-truncated product [ARTP]) were used to assess the enrichment of association signals within each pathway. Eighteen pathways were detected by either GSEA or ARTP at P≤0.01. To minimize false positives, we used the I(2) statistic to identify SNPs displaying heterogeneous effects across the five studies. After removing these SNPs, seven pathways (‘Aromatic amine metabolism’ [P(GSEA) = 0.0100, P(ARTP) = 0.0020], ‘NAD biosynthesis’ [P(GSEA) = 0.0018, P(ARTP) = 0.0086], ‘NAD salvage’ [P(ARTP) = 0.0068], ‘Clathrin derived vesicle budding’ [P(ARTP) = 0.0018], ‘Lysosome vesicle biogenesis’ [P(GSEA) = 0.0023, P(ARTP)<0.00012], ’Retrograde neurotrophin signaling’ [P(GSEA) = 0.00840], and ‘Mitotic metaphase/anaphase transition’ [P(GSEA) = 0.0040]) remained. These pathways seem to belong to three fundamental cellular processes (metabolic detoxification, mitosis, and clathrin-mediated vesicles). Identification of the aromatic amine metabolism pathway provides support for the ability of this approach to identify pathways with established relevance to bladder carcinogenesis. Public Library of Science 2012-01-04 /pmc/articles/PMC3251580/ /pubmed/22238607 http://dx.doi.org/10.1371/journal.pone.0029396 Text en This is an open-access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication. https://creativecommons.org/publicdomain/zero/1.0/ This is an open-access article distributed under the terms of the Creative Commons Public Domain declaration, which stipulates that, once placed in the public domain, this work may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose.
spellingShingle Research Article
Menashe, Idan
Figueroa, Jonine D.
Garcia-Closas, Montserrat
Chatterjee, Nilanjan
Malats, Nuria
Picornell, Antoni
Maeder, Dennis
Yang, Qi
Prokunina-Olsson, Ludmila
Wang, Zhaoming
Real, Francisco X.
Jacobs, Kevin B.
Baris, Dalsu
Thun, Michael
Albanes, Demetrius
Purdue, Mark P.
Kogevinas, Manolis
Hutchinson, Amy
Fu, Yi-Ping
Tang, Wei
Burdette, Laurie
Tardón, Adonina
Serra, Consol
Carrato, Alfredo
García-Closas, Reina
Lloreta, Josep
Johnson, Alison
Schwenn, Molly
Schned, Alan
Andriole, Gerald
Black, Amanda
Jacobs, Eric J.
Diver, Ryan W.
Gapstur, Susan M.
Weinstein, Stephanie J.
Virtamo, Jarmo
Caporaso, Neil E.
Landi, Maria Teresa
Fraumeni, Joseph F.
Chanock, Stephen J.
Silverman, Debra T.
Rothman, Nathaniel
Large-Scale Pathway-Based Analysis of Bladder Cancer Genome-Wide Association Data from Five Studies of European Background
title Large-Scale Pathway-Based Analysis of Bladder Cancer Genome-Wide Association Data from Five Studies of European Background
title_full Large-Scale Pathway-Based Analysis of Bladder Cancer Genome-Wide Association Data from Five Studies of European Background
title_fullStr Large-Scale Pathway-Based Analysis of Bladder Cancer Genome-Wide Association Data from Five Studies of European Background
title_full_unstemmed Large-Scale Pathway-Based Analysis of Bladder Cancer Genome-Wide Association Data from Five Studies of European Background
title_short Large-Scale Pathway-Based Analysis of Bladder Cancer Genome-Wide Association Data from Five Studies of European Background
title_sort large-scale pathway-based analysis of bladder cancer genome-wide association data from five studies of european background
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3251580/
https://www.ncbi.nlm.nih.gov/pubmed/22238607
http://dx.doi.org/10.1371/journal.pone.0029396
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