2017
Determining Risk of Barrett’s Esophagus and Esophageal Adenocarcinoma Based on Epidemiologic Factors and Genetic Variants
Dong J, Buas MF, Gharahkhani P, Kendall BJ, Onstad L, Zhao S, Anderson LA, Wu AH, Ye W, Bird NC, Bernstein L, Chow WH, Gammon MD, Liu G, Caldas C, Pharoah PD, Risch HA, Iyer PG, Reid BJ, Hardie LJ, Lagergren J, Shaheen NJ, Corley DA, Fitzgerald RC, consortium S, Whiteman DC, Vaughan TL, Thrift AP. Determining Risk of Barrett’s Esophagus and Esophageal Adenocarcinoma Based on Epidemiologic Factors and Genetic Variants. Gastroenterology 2017, 154: 1273-1281.e3. PMID: 29247777, PMCID: PMC5880715, DOI: 10.1053/j.gastro.2017.12.003.Peer-Reviewed Original ResearchMeSH KeywordsAdenocarcinomaArea Under CurveAustraliaBarrett EsophagusCase-Control StudiesDatabases, FactualDecision Support TechniquesEsophageal NeoplasmsEuropeFemaleGene-Environment InteractionGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansLife StyleLogistic ModelsMaleMiddle AgedModels, GeneticMolecular EpidemiologyMultifactorial InheritanceNorth AmericaOdds RatioPhenotypePolymorphism, Single NucleotidePredictive Value of TestsRisk AssessmentRisk FactorsROC CurveConceptsGastroesophageal reflux diseaseBarrett's esophagusEsophageal adenocarcinomaLifestyle factorsPolygenic risk scoresGERD symptomsNon-genetic factorsDemographic/lifestyle factorsNet reclassification improvementCharacteristic curve analysisAUC valuesRisk prediction modelEsophageal cancer studyInternational Barrett'sReflux diseaseHighest quartileNet reclassificationEpidemiologic factorsReclassification improvementLowest quartileHigh riskRisk scorePatientsEsophagusAbstractTextRobust Tests for Additive Gene-Environment Interaction in Case-Control Studies Using Gene-Environment Independence
Liu G, Mukherjee B, Lee S, Lee AW, Wu AH, Bandera EV, Jensen A, Rossing MA, Moysich KB, Chang-Claude J, Doherty JA, Gentry-Maharaj A, Kiemeney L, Gayther SA, Modugno F, Massuger L, Goode EL, Fridley BL, Terry KL, Cramer DW, Ramus SJ, Anton-Culver H, Ziogas A, Tyrer JP, Schildkraut JM, Kjaer SK, Webb PM, Ness RB, Menon U, Berchuck A, Pharoah PD, Risch H, Pearce CL, Consortium F. Robust Tests for Additive Gene-Environment Interaction in Case-Control Studies Using Gene-Environment Independence. American Journal Of Epidemiology 2017, 187: 366-377. PMID: 28633381, PMCID: PMC5860584, DOI: 10.1093/aje/kwx243.Peer-Reviewed Original Research
2016
Germline variation in inflammation-related pathways and risk of Barrett's oesophagus and oesophageal adenocarcinoma
Buas MF, He Q, Johnson LG, Onstad L, Levine DM, Thrift AP, Gharahkhani P, Palles C, Lagergren J, Fitzgerald RC, Ye W, Caldas C, Bird NC, Shaheen NJ, Bernstein L, Gammon MD, Wu AH, Hardie LJ, Pharoah PD, Liu G, Iyer P, Corley DA, Risch HA, Chow WH, Prenen H, Chegwidden L, Love S, Attwood S, Moayyedi P, MacDonald D, Harrison R, Watson P, Barr H, deCaestecker J, Tomlinson I, Jankowski J, Whiteman DC, MacGregor S, Vaughan TL, Madeleine MM. Germline variation in inflammation-related pathways and risk of Barrett's oesophagus and oesophageal adenocarcinoma. Gut 2016, 66: 1739. PMID: 27486097, PMCID: PMC5296402, DOI: 10.1136/gutjnl-2016-311622.Peer-Reviewed Original ResearchMeSH KeywordsAdenocarcinomaAgedBarrett EsophagusCytokinesEsophageal NeoplasmsFemaleGene-Environment InteractionGenetic Predisposition to DiseaseGenome-Wide Association StudyGerm-Line MutationGlutathione TransferaseHLA AntigensHumansInflammationMaleMiddle AgedNF-kappa BOxidative StressPolymorphism, Single NucleotidePrincipal Component AnalysisProstaglandin-Endoperoxide SynthasesRisk FactorsSignal TransductionConceptsBarrett's esophagusBE casesSingle nucleotide polymorphismsGermline variationOesophageal adenocarcinoma incidenceHuman leucocyte antigenInflammation-related pathwaysSymptomatic refluxSystemic inflammationAdenocarcinoma incidenceOesophageal adenocarcinomaOA pathogenesisInflammatory processLeucocyte antigenOA casesRisk factorsCOX pathwayBE riskOA riskDisease riskEsophagusStrong expression quantitative trait locusGenetic susceptibilityNuclear factorExpression quantitative trait lociConstrained Score Statistics Identify Genetic Variants Interacting with Multiple Risk Factors in Barrett’s Esophagus
Dai JY, de Dieu Tapsoba J, Buas MF, Consortium T, Chow W, Shaheen N, Anderson L, Corley D, Gammon M, Hardie L, Lagergren J, Whiteman D, Risch H, Vaughan T. Constrained Score Statistics Identify Genetic Variants Interacting with Multiple Risk Factors in Barrett’s Esophagus. American Journal Of Human Genetics 2016, 99: 352-365. PMID: 27486777, PMCID: PMC4974090, DOI: 10.1016/j.ajhg.2016.06.018.Peer-Reviewed Original ResearchMeSH KeywordsAdenocarcinomaAge FactorsBarrett EsophagusEsophageal NeoplasmsFemaleGastroesophageal RefluxGene-Environment InteractionGenetic Predisposition to DiseaseGenetic VariationGenome-Wide Association StudyHumansMaleModels, GeneticObesityOdds RatioPolymorphism, Single NucleotideReproducibility of ResultsRisk FactorsSample SizeSex FactorsSmokingConceptsBarrett's esophagusEsophageal adenocarcinomaGene-environment interactionsMultiple risk factorsEsophageal Adenocarcinoma ConsortiumEnvironmental exposure dataGenetic variantsGastresophageal refluxTobacco smokingRisk factorsCancer epidemiologyEsophagusExposure dataAdenocarcinomaMultivariate gene-environment interactionsLow statistical powerTesting strategiesGenome-wide significanceSmokingObesityStatistical powerEpidemiologyReflux
2014
Axonal guidance signaling pathway interacting with smoking in modifying the risk of pancreatic cancer: a gene- and pathway-based interaction analysis of GWAS data
Tang H, Wei P, Duell EJ, Risch HA, Olson SH, Bueno-de-Mesquita HB, Gallinger S, Holly EA, Petersen G, Bracci PM, McWilliams RR, Jenab M, Riboli E, Tjønneland A, Boutron-Ruault MC, Kaaks R, Trichopoulos D, Panico S, Sund M, Peeters PH, Khaw KT, Amos CI, Li D. Axonal guidance signaling pathway interacting with smoking in modifying the risk of pancreatic cancer: a gene- and pathway-based interaction analysis of GWAS data. Carcinogenesis 2014, 35: 1039-1045. PMID: 24419231, PMCID: PMC4004205, DOI: 10.1093/carcin/bgu010.Peer-Reviewed Original ResearchConceptsIngenuity Pathway AnalysisKEGG pathwaysSingle nucleotide polymorphism (SNP) levelAxonal guidanceGenome-wide levelGene ontology pathwaysSalivary secretion pathwaysSlit/RoboGenes/SNPsOntology pathwaysPolymorphism levelSecretion pathwayGWAS dataGene setsPancreatic Cancer Case-Control ConsortiumCanonical pathwaysPathway analysisAxon guidanceGenesSNPsRegion SNPsPathwayIPA analysisPancreatic cancerDiscovery studiesGenes–Environment Interactions in Obesity- and Diabetes-Associated Pancreatic Cancer: A GWAS Data Analysis
Tang H, Wei P, Duell EJ, Risch HA, Olson SH, Bueno-de-Mesquita HB, Gallinger S, Holly EA, Petersen GM, Bracci PM, McWilliams RR, Jenab M, Riboli E, Tjønneland A, Boutron-Ruault MC, Kaaks R, Trichopoulos D, Panico S, Sund M, Peeters PH, Khaw KT, Amos CI, Li D. Genes–Environment Interactions in Obesity- and Diabetes-Associated Pancreatic Cancer: A GWAS Data Analysis. Cancer Epidemiology Biomarkers & Prevention 2014, 23: 98-106. PMID: 24136929, PMCID: PMC3947145, DOI: 10.1158/1055-9965.epi-13-0437-t.Peer-Reviewed Original ResearchConceptsPancreatic cancerIngenuity Pathway AnalysisSingle nucleotide polymorphismsAssociation of obesityPancreatic Cancer Case-Control ConsortiumRisk of obesityAlterable risk factorsPancreatic cancer riskRisk factor dataLogistic regression modelsGenome-wide levelAdditional large datasetsMajor contributing genesInsulin resistanceRisk factorsInflammatory responseCancer riskGene-environment interactionsObesityGene-environment interaction analysisSignificant interactionDiabetesGWAS data analysisCancerGenetic susceptibility
2013
Re-evaluation of ABO gene polymorphisms detected in a genome-wide association study and risk of pancreatic ductal adenocarcinoma in a Chinese population
Xu HL, Cheng JR, Zhang W, Wang J, Yu H, Ni QX, Risch HA, Gao YT. Re-evaluation of ABO gene polymorphisms detected in a genome-wide association study and risk of pancreatic ductal adenocarcinoma in a Chinese population. Cancer Communications 2013, 33: 68-73. PMID: 23816557, PMCID: PMC3884064, DOI: 10.5732/cjc.013.10060.Peer-Reviewed Original ResearchConceptsRisk of PDACPancreatic ductal adenocarcinomaCancer riskDuctal adenocarcinomaPopulation-based case-control studyChinese populationCase-control studyPancreatic cancer riskSignificant gene-environment interactionElevated cancer riskFatal malignancyPancreatic cancerTT carriersHealthy controlsGene-environment interactionsGene polymorphismsT alleleC alleleABO variantsWide association studyAssociation studiesMultifactor dimensionality reduction methodAdenocarcinomaRiskABO allelesCombined and Interactive Effects of Environmental and GWAS-Identified Risk Factors in Ovarian Cancer
Pearce CL, Rossing MA, Lee AW, Ness RB, Webb PM, Study F, Group A, Chenevix-Trench G, Jordan SM, Stram DA, Chang-Claude J, Hein R, Nickels S, Lurie G, Thompson PJ, Carney ME, Goodman MT, Moysich K, Hogdall E, Jensen A, Goode EL, Fridley BL, Cunningham JM, Vierkant RA, Weber RP, Ziogas A, Anton-Culver H, Gayther SA, Gentry-Maharaj A, Menon U, Ramus SJ, Brinton L, Wentzensen N, Lissowska J, Garcia-Closas M, Massuger LF, Kiemeney LA, Van Altena AM, Aben KK, Berchuck A, Doherty JA, Iversen E, McGuire V, Moorman PG, Pharoah P, Pike MC, Risch H, Sieh W, Stram DO, Terry KL, Whittemore A, Wu AH, Schildkraut JM, Kjaer SK, Consortium F. Combined and Interactive Effects of Environmental and GWAS-Identified Risk Factors in Ovarian Cancer. Cancer Epidemiology Biomarkers & Prevention 2013, 22: 880-890. PMID: 23462924, PMCID: PMC3963289, DOI: 10.1158/1055-9965.epi-12-1030-t.Peer-Reviewed Original ResearchConceptsEnvironmental risk factorsGenetic risk scoreOvarian cancer riskRisk factorsHistologic subtypeRisk scoreOvarian cancerCancer riskHigh genetic risk scoreOvarian cancer case-control studiesCancer case-control studyCase-control studySuch risk factorsGenetic risk factorsRecent genome-wide association studiesTubal ligationRisk differenceDisease riskSubtypesMultivariate modelCancerRisk prediction modelingRiskScoresEffects modelGWAS meta-analysis and replication identifies three new susceptibility loci for ovarian cancer
Pharoah PD, Tsai YY, Ramus SJ, Phelan CM, Goode EL, Lawrenson K, Buckley M, Fridley BL, Tyrer JP, Shen H, Weber R, Karevan R, Larson MC, Song H, Tessier DC, Bacot F, Vincent D, Cunningham JM, Dennis J, Dicks E, Aben K, Anton-Culver H, Antonenkova N, Armasu S, Baglietto L, Bandera E, Beckmann M, Birrer M, Bloom G, Bogdanova N, Brenton J, Brinton L, Brooks-Wilson A, Brown R, Butzow R, Campbell I, Carney M, Carvalho R, Chang-Claude J, Chen Y, Chen Z, Chow W, Cicek M, Coetzee G, Cook L, Cramer D, Cybulski C, Dansonka-Mieszkowska A, Despierre E, Doherty J, Dörk T, du Bois A, Dürst M, Eccles D, Edwards R, Ekici A, Fasching P, Fenstermacher D, Flanagan J, Gao Y, Garcia-Closas M, Gentry-Maharaj A, Giles G, Gjyshi A, Gore M, Gronwald J, Guo Q, Halle M, Harter P, Hein A, Heitz F, Hillemanns P, Hoatlin M, Høgdall E, Høgdall C, Hosono S, Jakubowska A, Jensen A, Kalli K, Karlan B, Kelemen L, Kiemeney L, Kjaer S, Konecny G, Krakstad C, Kupryjanczyk J, Lambrechts D, Lambrechts S, Le N, Lee N, Lee J, Leminen A, Lim B, Lissowska J, Lubiński J, Lundvall L, Lurie G, Massuger L, Matsuo K, McGuire V, McLaughlin J, Menon U, Modugno F, Moysich K, Nakanishi T, Narod S, Ness R, Nevanlinna H, Nickels S, Noushmehr H, Odunsi K, Olson S, Orlow I, Paul J, Pejovic T, Pelttari L, Permuth-Wey J, Pike M, Poole E, Qu X, Risch H, Rodriguez-Rodriguez L, Rossing M, Rudolph A, Runnebaum I, Rzepecka I, Salvesen H, Schwaab I, Severi G, Shen H, Shridhar V, Shu X, Sieh W, Southey M, Spellman P, Tajima K, Teo S, Terry K, Thompson P, Timorek A, Tworoger S, van Altena A, van den Berg D, Vergote I, Vierkant R, Vitonis A, Wang-Gohrke S, Wentzensen N, Whittemore A, Wik E, Winterhoff B, Woo Y, Wu A, Yang H, Zheng W, Ziogas A, Zulkifli F, Goodman M, Hall P, Easton D, Pearce C, Berchuck A, Chenevix-Trench G, Iversen E, Monteiro A, Gayther S, Schildkraut J, Sellers T. GWAS meta-analysis and replication identifies three new susceptibility loci for ovarian cancer. Nature Genetics 2013, 45: 362-370. PMID: 23535730, PMCID: PMC3693183, DOI: 10.1038/ng.2564.Peer-Reviewed Original ResearchMeSH KeywordsCase-Control StudiesCooperative BehaviorCystadenocarcinoma, SerousFemaleGene-Environment InteractionGenetic LociGenetic Predisposition to DiseaseGenome-Wide Association StudyGenotypeHumansMeta-Analysis as TopicNeoplasm InvasivenessOvarian NeoplasmsPolymorphism, Single NucleotideRisk FactorsConceptsOvarian cancer susceptibility lociSusceptibility lociGenome-wide association studiesNew susceptibility lociCancer susceptibility lociRegulatory regionsAssociation studiesMolecular analysisLociDisease mechanismsOvarian Cancer Association ConsortiumOvarian cancerGWASGenesEpithelial ovarian cancerConsortium