SynthesisJournal of the National Cancer Institute2019
Agnostic Pathway/Gene Set Analysis of Genome-Wide Association Data Identifies Associations for Pancreatic Cancer.
Synthesis in Journal of the National Cancer Institute, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
19 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.
- Pathway Analysis of Renal Cell Carcinoma Genome-Wide Association Studies Identifies Novel Associations.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2020Pooled it
- Different diabetes types and pancreatic ductal adenocarcinoma: a Mendelian randomization and pathway/gene-set analysis.Journal of the National Cancer Institute · 2026Article
- Epidemiological Trends and Shared Molecular Signatures of Pancreatic Ductal Adenocarcinoma and Diabetes: An Integrative Analysis Based on Global Burden of Disease and Gene Expression Omnibus Datasets.Journal of Cancer · 2026Article
- Polymorphisms in transcription factor binding sites and enhancer regions and pancreatic ductal adenocarcinoma risk.Human genomics · 2024Article
- Haplotypic variants of COVID-19 related genes are associated with blood pressure and metabolites levels.Journal of medical virology · 2023Article
- Pancreatic Adenocarcinoma: Trends in Epidemiology, Risk Factors, and Outcomes.Hematology/oncology clinics of North America · 2022Review
- A network pharmacology approach to reveal the pharmacological targets and biological mechanism of compound kushen injection for treating pancreatic cancer based on WGCNA and in vitro experiment validation.Chinese medicine · 2021Article
- Drivers of Gene Expression Dysregulation in Pancreatic Cancer.Trends in cancer · 2021Review
- Pancreatic cancer epidemiology: understanding the role of lifestyle and inherited risk factors.Nature reviews. Gastroenterology & hepatology · 2021Review
- Epistatic evidence for gender-dependant slow neurotransmission signalling in substance use disorders: PPP1R12B versus PPP1R1B.EBioMedicine · 2020Article
- A Transcriptome-Wide Association Study Identifies Novel Candidate Susceptibility Genes for Pancreatic Cancer.Journal of the National Cancer Institute · 2020Article
- Genome-Wide Association Study Data Reveal Genetic Susceptibility to Chronic Inflammatory Intestinal Diseases and Pancreatic Ductal Adenocarcinoma Risk.Cancer research · 2020Article
- Genome-Wide Association Study and Pathway Analysis for Heterophil/Lymphocyte (H/L) Ratio in Chicken.Genes · 2020Article
- Genetic Alterations Featuring Biological Models to Tailor Clinical Management of Pancreatic Cancer Patients.Cancers · 2020Review
- Non-coding RNAs in Pancreatic Ductal Adenocarcinoma.Frontiers in oncology · 2020Review
- Genomic Profiling and Functional Analysis of let-7c miRNA-mRNA Interactions IdentifyJournal of oncology · 2020Article
- Associations of novel variants inAmerican journal of cancer research · 2020Article
- Integration of GWAS and eQTL Analysis to Identify Risk Loci and Susceptibility Genes for Gastric Cancer.Frontiers in genetics · 2020Article
- Inhibition of PTP1B blocks pancreatic cancer progression by targeting the PKM2/AMPK/mTOC1 pathway.Cell death & disease · 2019Article
Corrections and comments
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Authors and funding
104 authors at 20 institutions in 14 countries.
Funding
Abstract
backgroundGenome-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.
methodsWe 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.
resultsWe 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.
conclusionOur 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.
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