2018
Agnostic Pathway/Gene Set Analysis of Genome-Wide Association Data Identifies Associations for Pancreatic Cancer
Walsh N, Zhang H, Hyland PL, Yang Q, Mocci E, Zhang M, Childs EJ, Collins I, Wang Z, Arslan AA, Beane-Freeman L, Bracci PM, Brennan P, Canzian F, Duell EJ, Gallinger S, Giles GG, Goggins M, Goodman GE, Goodman PJ, Hung RJ, Kooperberg C, Kurtz RC, Malats N, LeMarchand L, Neale RE, Olson SH, Scelo G, Shu XO, Van Den Eeden SK, Visvanathan K, White E, Zheng W, consortia P, Albanes D, Andreotti G, Babic A, Bamlet W, Berndt S, Borgida A, Boutron-Ruault M, Brais L, Brennan P, Bueno-de-Mesquita B, Buring J, Chaffee K, Chanock S, Cleary S, Cotterchio M, Foretova L, Fuchs C, Gaziano J, Giovannucci E, Goggins M, Hackert T, Haiman C, Hartge P, Hasan M, Helzlsouer K, Herman J, Holcatova I, Holly E, Hoover R, Hung R, Janout V, Klein E, Kurtz R, Laheru D, Lee I, Lu L, Malats N, Mannisto S, Milne R, Oberg A, Orlow I, Patel A, Peters U, Porta M, Real F, Rothman N, Sesso H, Severi G, Silverman D, Strobel O, Sund M, Thornquist M, Tobias G, Wactawski-Wende J, Wareham N, Weiderpass E, Wentzensen N, Wheeler W, Yu H, Zeleniuch-Jacquotte A, Kraft P, Li D, Jacobs E, Petersen G, Wolpin B, Risch H, Amundadottir L, Yu K, Klein A, Stolzenberg-Solomon R. Agnostic Pathway/Gene Set Analysis of Genome-Wide Association Data Identifies Associations for Pancreatic Cancer. Journal Of The National Cancer Institute 2018, 111: 557-567. PMID: 30541042, PMCID: PMC6579744, DOI: 10.1093/jnci/djy155.Peer-Reviewed Original ResearchConceptsGenome-wide association studiesGene setsSingle nucleotide polymorphismsFunctional annotationEpidermal growth factor receptor transactivationExpression quantitative trait loci (eQTL) analysisQuantitative trait locus (QTL) analysisGrowth factor receptor transactivationTop single nucleotide polymorphismsG protein-coupled receptorsGene-set analysisProtein-coupled receptorsIndividual single nucleotide polymorphismsBeta-cell developmentEQTL analysisGWAS dataPCC genesPancreatic ductal adenocarcinomaReceptor transactivationLocus analysisPathway analysisAssociation studiesGenesSusceptibility genesIdentifies associations
2015
Risch et al. Respond to “Clinical Utility of Prediction Models for Rare Outcomes: The Example of Pancreatic Cancer”
Risch HA, Yu H, Lu L, Kidd MS. Risch et al. Respond to “Clinical Utility of Prediction Models for Rare Outcomes: The Example of Pancreatic Cancer”. American Journal Of Epidemiology 2015, 182: 39-40. PMID: 26049861, DOI: 10.1093/aje/kwv025.Peer-Reviewed Original ResearchDetectable Symptomatology Preceding the Diagnosis of Pancreatic Cancer and Absolute Risk of Pancreatic Cancer Diagnosis
Risch HA, Yu H, Lu L, Kidd MS. Detectable Symptomatology Preceding the Diagnosis of Pancreatic Cancer and Absolute Risk of Pancreatic Cancer Diagnosis. American Journal Of Epidemiology 2015, 182: 26-34. PMID: 26049860, PMCID: PMC4479115, DOI: 10.1093/aje/kwv026.Peer-Reviewed Original ResearchConceptsPancreatic cancer diagnosisAbsolute riskPancreatic cancerRecent diagnosisRisk factorsEnd Results (SEER) incidence dataUS Surveillance EpidemiologyCancer diagnosisCurrent cigarette smokingLow lifetime riskABO blood groupDiabetes mellitusSurveillance EpidemiologyCigarette smokingSurvival durationLifetime riskHigh riskPancreatic causesCancerBlood groupRisk estimatesDiagnosisIncidence dataSymptomatologyRisk