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

. 2019 Jun 01 ; 111 (6) : 557-567.

Language English Country United States Media print

Document type Journal Article, Meta-Analysis

Grant support
U01 CA167462 NCI NIH HHS - United States
P50 CA062924 NCI NIH HHS - United States
UG1 CA189974 NCI NIH HHS - United States
UM1 CA182934 NCI NIH HHS - United States
MC_UU_12015/1 Medical Research Council - United Kingdom
R01 CA154823 NCI NIH HHS - United States
U01 CA074783 NCI NIH HHS - United States
HHSN261200800001C CCR NIH HHS - United States
HHSN261200800001E NCI NIH HHS - United States
U10 CA037429 NCI NIH HHS - United States
U01 CA063673 NCI NIH HHS - United States
U01 CA182883 NCI NIH HHS - United States
K07 CA222159 NCI NIH HHS - United States
UL1 TR001863 NCATS NIH HHS - United States
P30 CA008748 NCI NIH HHS - United States
U01 CA167551 NCI NIH HHS - United States
UM1 CA182883 NCI NIH HHS - United States
UM1 CA167462 NCI NIH HHS - United States
001 World Health Organization - International
U01 CA164973 NCI NIH HHS - United States

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 contributing to the top associated pathways and gene sets. All statistical tests were two-sided. RESULTS: We identified 14 pathways and gene sets associated with PDAC at a false discovery rate of less than 0.05. After Bonferroni correction (P ≤ 1.3 × 10-5), the strongest associations were detected in five pathways and gene sets, including maturity-onset diabetes of the young, regulation of beta-cell development, role of epidermal growth factor (EGF) receptor transactivation by G protein-coupled receptors in cardiac hypertrophy pathways, and the Nikolsky breast cancer chr17q11-q21 amplicon and Pujana ATM Pearson correlation coefficient (PCC) network gene sets. We identified and validated rs876493 and three correlating SNPs (PGAP3) and rs3124737 (CASP7) from the Pujana ATM PCC gene set as eQTLs in two normal derived pancreas tissue datasets. CONCLUSION: Our agnostic pathway and gene set analysis integrated with functional annotation and eQTL analysis provides insight into genes and pathways that may be biologically relevant for risk of PDAC, including those not previously identified.

Boston VA Healthcare System Boston MA

Cancer Care Ontario University of Toronto Toronto ON Canada

Cancer Epidemiology and Intelligence Division Cancer Council Victoria Melbourne Victoria Australia

Cancer Epidemiology Program University of Hawaii Cancer Center Honolulu HI

Centre de Recherche en Épidémiologie et Santé des Populations Facultés de Medicine Université Paris Saclay UPS UVSQ Gustave Roussy Villejuif France

Centre for Epidemiology and Biostatistics Melbourne School of Population and Global Health The University of Melbourne Victoria Australia

CIBER Epidemiología y Salud Pública Barcelona Spain

CIBERONC Madrid Spain

Dalla Lana School of Public Health University of Toronto Toronto ON Canada

Departament de Ciències Experimentals i de la Salut Universitat Pompeu Fabra Barcelona Spain

Department for Determinants of Chronic Diseases Bilthoven the Netherlands

Department of Biostatistics Harvard School of Public Health Boston MA

Department of Cancer Epidemiology and Genetics Masaryk Memorial Cancer Institute Brno Czech Republic

Department of Chronic Disease Epidemiology Yale School of Public Health New Haven CT

Department of Community Medicine Faculty of Health Sciences University of Tromsø The Arctic University of Norway Tromsø Norway

Department of Computational Biology St Jude Children's Research Hospital Memphis Tennessee

Department of Environmental Medicine New York University School of Medicine New York NY

Department of Epidemiology and Biostatistics Memorial Sloan Kettering Cancer Center New York NY

Department of Epidemiology and Biostatistics School of Public Health Imperial College London London UK

Department of Epidemiology and Biostatistics University of California San Francisco CA

Department of Epidemiology and Environmental Health University at Buffalo Buffalo NY

Department of Epidemiology and Preventive Medicine Monash University Melbourne Victoria Australia

Department of Epidemiology and Public Health Faculty of Medicine University of Ostrava Czech Republic

Department of Epidemiology Harvard T H Chan School of Public Health Boston MA

Department of Epidemiology Johns Hopkins Bloomberg School of Public Health Baltimore MD

Department of Epidemiology University of Texas MD Anderson Cancer Center Houston TX

Department of Epidemiology University of Washington Seattle WA

Department of Gastrointestinal Medical Oncology University of Texas MD Anderson Cancer Center Houston TX

Department of General Surgery University Hospital Heidelberg Heidelberg Germany

Department of Health Sciences Research Mayo Clinic College of Medicine Rochester MN

Department of Medical Epidemiology and Biostatistics Karolinska Institutet Stockholm Sweden

Department of Medical Oncology Dana Farber Cancer Institute Boston MA

Department of Medicine Memorial Sloan Kettering Cancer Center New York NY

Department of Obstetrics and Gynecology New York University School of Medicine New York NY

Department of Oncology Sidney Kimmel Comprehensive Cancer Center Johns Hopkins School of Medicine Baltimore MD

Department of Pathology Sol Goldman Pancreatic Cancer Research Center Johns Hopkins School of Medicine Baltimore MD

Department of Population Health New York University School of Medicine New York NY

Department of Preventive Medicine Keck School of Medicine University of Southern California Los Angeles CA

Department of Public Health Solutions National Institute for Health and Welfare Helsinki Finland

Department of Radiation Oncology Sidney Kimmel Comprehensive Cancer Center Johns Hopkins School of Medicine Baltimore MD

Department of Research Cancer Registry of Norway Institute of Population Based Cancer Research Oslo Norway

Department of Social and Preventive Medicine Faculty of Medicine University of Malaya Kuala Lumpur Malaysia

Department of Surgical and Perioperative Sciences Umeå University Umeå Sweden

Division of Aging Brigham and Women's Hospital Boston MA

Division of Applied Regulatory Science Office of Translational Science Center for Drug Evaluation and Research U S Food and Drug Administration Silver Spring MD

Division of Cancer Control and Population Sciences National Cancer Institute National Institutes of Health Bethesda MD

Division of Cancer Epidemiology and Genetics National Cancer Institute National Institutes of Health Bethesda MD

Division of Epidemiology 2 Office of Surveillance and Epidemiology Center for Drug Evaluation and Research U S Food and Drug Administration Silver Spring MD

Division of Epidemiology Department of Medicine Vanderbilt Epidemiology Center Vanderbilt Ingram Cancer Center Vanderbilt University School of Medicine Nashville TN

Division of Hepatobiliary and Pancreas Surgery Mayo Clinic Rochester MN

Division of Preventive Medicine Brigham and Women's Hospital Boston MA

Division of Public Health Sciences Fred Hutchinson Cancer Research Center Seattle WA

Division of Research Kaiser Permanente Northern California Oakland CA

Epidemiology Research Program American Cancer Society Atlanta GA

Epithelial Carcinogenesis Group Spanish National Cancer Research Centre CNIO Madrid Spain

Faculty of Medicine University of Olomouc Olomouc Czech Republic

Genetic and Molecular Epidemiology Group Spanish National Cancer Research Center Madrid Spain

Genetic Epidemiology Group Folkhälsan Research Center and Faculty of Medicine University of Helsinki Helsinki Finland

Genomic Epidemiology Group German Cancer Research Center Heidelberg Germany

Glickman Urological and Kidney Institute Cleveland Clinic Cleveland OH

Hospital del Mar Institute of Medical Research Universitat Autònoma de Barcelona Barcelona Spain

Information Management Systems Silver Spring MD

Institute of Public Health and Preventive Medicine Charles University 2nd Faculty of Medicine Prague Czech Republic

International Agency for Research on Cancer Lyon France

Laboratory of Translational Genomics Division of Cancer Epidemiology and Genetics National Cancer Institute National Institutes of Health Bethesda MD

MRC Epidemiology Unit University of Cambridge Cambridge UK

National Institute for Cellular Biotechnology Dublin City University Glasnevin Dublin Ireland

Perlmutter Cancer Center New York University School of Medicine New York NY

Population Health Department QIMR Berghofer Medical Research Institute Brisbane Queensland Australia

Prosserman Centre for Population Health Research Lunenfeld Tanenbaum Research Institute Sinai Health System Toronto ON Canada

SWOG Statistical Center Fred Hutchinson Cancer Research Center Seattle WA

Unit of Nutrition and Cancer Cancer Epidemiology Research Program Bellvitge Biomedical Research Institute Barcelona Spain

Yale Cancer Center New Haven CT

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