Agnostic Pathway/Gene Set Analysis of Genome-Wide Association Data Identifies Associations for Pancreatic Cancer

N Walsh; H Zhang; PL Hyland; Q Yang; E Mocci; M Zhang; EJ Childs; I Collins; Z Wang; AA Arslan; L Beane-Freeman; PM Bracci; P Brennan; F Canzian; EJ Duell; S Gallinger; GG Giles; M Goggins; GE Goodman; PJ Goodman; RJ Hung; C Kooperberg; RC Kurtz; N Malats; L Lemarchand; RE Neale; SH Olson; G Scelo; XO Shu; SK Van Den Eeden; K Visvanathan; E White; W Zheng; D Albanes; G Andreotti; A Babic; WR Bamlet; SI Berndt; A Borgida; MC Boutron-Ruault; L Brais; B Bueno-De-Mesquita; J Buring; KG Chaffee; S Chanock; S Cleary; M Cotterchio; L Foretova; C Fuchs; JM M Gaziano; E Giovannucci; T Hackert; C Haiman; P Hartge; M Hasan; KJ Helzlsouer; J Herman; I Holcatova; EA Holly; R Hoover; V Janout; EA Klein; D Laheru; IM Lee; L Lu; S Mannisto; RL Milne; AL Oberg; I Orlow; AV Patel; U Peters; M Porta; FX Real; N Rothman; HD Sesso; G Severi; D Silverman; O Strobel; M Sund; MD Thornquist; GS Tobias; J Wactawski-Wende; N Wareham; E Weiderpass; N Wentzensen; W Wheeler; H Yu; A Zeleniuch-Jacquotte; P Kraft; D Li; EJ Jacobs; GM Petersen; BM Wolpin; HA Risch; LT Amundadottir; K Yu; AP Klein; RZ Stolzenberg-Solomon

Journal article

Agnostic Pathway/Gene Set Analysis of Genome-Wide Association Data Identifies Associations for Pancreatic Cancer

N Walsh, H Zhang, PL Hyland, Q Yang, E Mocci, M Zhang, EJ Childs, I Collins, Z Wang, AA Arslan, L Beane-Freeman, PM Bracci, P Brennan, F Canzian, EJ Duell, S Gallinger, GG Giles, M Goggins, GE Goodman, PJ Goodman Show all

Journal of the National Cancer Institute | OXFORD UNIV PRESS INC | Published : 2019

DOI: 10.1093/jnci/djy155

Abstract

Background: Genome-wide association studies (GWAS) identify associations of individual single-nucleotide polymorphisms (SNPs) with cancer risk but usually only explain a fraction of the inherited variability. Pathway analysis of genetic variants is a powerful tool to identify networks of susceptibility genes. Methods: We conducted a large agnostic pathway-based meta-analysis of GWAS data using the summary-based adaptive rank truncated product method to identify gene sets and pathways associated with pancreatic ductal adenocarcinoma (PDAC) in 9040 cases and 12 496 controls. We performed expression quantitative trait loci (eQTL) analysis and functional annotation of the top SNPs in genes contr..

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University of Melbourne Researchers

Graham Giles Author

Roger Milne Author

Grants

Awarded by National Institutes of Health

Funding Acknowledgements

This work was supported by the Intramural Research Program, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health. This publication has emanated from research supported in part by a Grant from Science Foundation Ireland under Grant number [15/SIRG/3482](NW) and Health Research Board/Irish Cancer Society (CPFPR-2012-2)(NW). This work was also supported by RO1 CA154823 and federal funds from the National Cancer Institute (NCI), US National Institutes of Health, under contract number HHSN261200800001E. Please see the Supplementary Materials (available online) for a complete list of funding acknowledgments.