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: Idan Menashe, Jonine D Figueroa, Montserrat Garcia-Closas, Nilanjan Chatterjee, Nuria Malats, Antoni Picornell, Dennis Maeder, Qi Yang, Ludmila Prokunina-Olsson, Zhaoming Wang, Francisco X Real, Kevin B Jacobs, Dalsu Baris, Michael Thun, Demetrius Albanes, Mark P Purdue, Manolis Kogevinas, Amy Hutchinson, Yi-Ping Fu, Wei Tang, Laurie Burdette, Adonina Tardón, Consol Serra, Alfredo Carrato, Reina García-Closas, Josep Lloreta, Alison Johnson, Molly Schwenn, Alan Schned, Gerald Andriole, Amanda Black, Eric J Jacobs, Ryan W Diver, Susan M Gapstur, Stephanie J Weinstein, Jarmo Virtamo, Neil E Caporaso, Maria Teresa Landi, Joseph F Fraumeni, Stephen J Chanock, Debra T Silverman, Nathaniel Rothman
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spelling oai:doaj.org-article:83ba9e6c0bd540c49b4769911fdfbdeb2021-11-18T07:30:58ZLarge-scale pathway-based analysis of bladder cancer genome-wide association data from five studies of European background.1932-620310.1371/journal.pone.0029396https://doaj.org/article/83ba9e6c0bd540c49b4769911fdfbdeb2012-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/22238607/pdf/?tool=EBIhttps://doaj.org/toc/1932-6203Pathway 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.Idan MenasheJonine D FigueroaMontserrat Garcia-ClosasNilanjan ChatterjeeNuria MalatsAntoni PicornellDennis MaederQi YangLudmila Prokunina-OlssonZhaoming WangFrancisco X RealKevin B JacobsDalsu BarisMichael ThunDemetrius AlbanesMark P PurdueManolis KogevinasAmy HutchinsonYi-Ping FuWei TangLaurie BurdetteAdonina TardónConsol SerraAlfredo CarratoReina García-ClosasJosep LloretaAlison JohnsonMolly SchwennAlan SchnedGerald AndrioleAmanda BlackEric J JacobsRyan W DiverSusan M GapsturStephanie J WeinsteinJarmo VirtamoNeil E CaporasoMaria Teresa LandiJoseph F FraumeniStephen J ChanockDebra T SilvermanNathaniel RothmanPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 7, Iss 1, p e29396 (2012)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Idan Menashe
Jonine D Figueroa
Montserrat Garcia-Closas
Nilanjan Chatterjee
Nuria Malats
Antoni Picornell
Dennis Maeder
Qi Yang
Ludmila Prokunina-Olsson
Zhaoming Wang
Francisco X Real
Kevin B Jacobs
Dalsu Baris
Michael Thun
Demetrius Albanes
Mark P Purdue
Manolis Kogevinas
Amy Hutchinson
Yi-Ping Fu
Wei Tang
Laurie Burdette
Adonina Tardón
Consol Serra
Alfredo Carrato
Reina García-Closas
Josep Lloreta
Alison Johnson
Molly Schwenn
Alan Schned
Gerald Andriole
Amanda Black
Eric J Jacobs
Ryan W Diver
Susan M Gapstur
Stephanie J Weinstein
Jarmo Virtamo
Neil E Caporaso
Maria Teresa Landi
Joseph F Fraumeni
Stephen J Chanock
Debra T Silverman
Nathaniel Rothman
Large-scale pathway-based analysis of bladder cancer genome-wide association data from five studies of European background.
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.
format article
author Idan Menashe
Jonine D Figueroa
Montserrat Garcia-Closas
Nilanjan Chatterjee
Nuria Malats
Antoni Picornell
Dennis Maeder
Qi Yang
Ludmila Prokunina-Olsson
Zhaoming Wang
Francisco X Real
Kevin B Jacobs
Dalsu Baris
Michael Thun
Demetrius Albanes
Mark P Purdue
Manolis Kogevinas
Amy Hutchinson
Yi-Ping Fu
Wei Tang
Laurie Burdette
Adonina Tardón
Consol Serra
Alfredo Carrato
Reina García-Closas
Josep Lloreta
Alison Johnson
Molly Schwenn
Alan Schned
Gerald Andriole
Amanda Black
Eric J Jacobs
Ryan W Diver
Susan M Gapstur
Stephanie J Weinstein
Jarmo Virtamo
Neil E Caporaso
Maria Teresa Landi
Joseph F Fraumeni
Stephen J Chanock
Debra T Silverman
Nathaniel Rothman
author_facet Idan Menashe
Jonine D Figueroa
Montserrat Garcia-Closas
Nilanjan Chatterjee
Nuria Malats
Antoni Picornell
Dennis Maeder
Qi Yang
Ludmila Prokunina-Olsson
Zhaoming Wang
Francisco X Real
Kevin B Jacobs
Dalsu Baris
Michael Thun
Demetrius Albanes
Mark P Purdue
Manolis Kogevinas
Amy Hutchinson
Yi-Ping Fu
Wei Tang
Laurie Burdette
Adonina Tardón
Consol Serra
Alfredo Carrato
Reina García-Closas
Josep Lloreta
Alison Johnson
Molly Schwenn
Alan Schned
Gerald Andriole
Amanda Black
Eric J Jacobs
Ryan W Diver
Susan M Gapstur
Stephanie J Weinstein
Jarmo Virtamo
Neil E Caporaso
Maria Teresa Landi
Joseph F Fraumeni
Stephen J Chanock
Debra T Silverman
Nathaniel Rothman
author_sort Idan Menashe
title 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_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_sort large-scale pathway-based analysis of bladder cancer genome-wide association data from five studies of european background.
publisher Public Library of Science (PLoS)
publishDate 2012
url https://doaj.org/article/83ba9e6c0bd540c49b4769911fdfbdeb
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