2024
Understanding risk factors for endometrial cancer in young women
Peeri N, Bertrand K, Na R, De Vivo I, Setiawan V, Seshan V, Alemany L, Chen Y, Clarke M, Clendenen T, Cook L, Costas L, Dal Maso L, Freudenheim J, Friedenreich C, Gierach G, Goodman M, La Vecchia C, Levi F, Lopez-Querol M, Lu L, Moysich K, Mutter G, Naduparambil J, Negri E, O’Connell K, O’Mara T, Palmer J, Parazzini F, Penney K, Petruzella S, Reynolds P, Ricceri F, Risch H, Rohan T, Sacerdote C, Sandin S, Shu X, Stolzenberg-Solomon R, Webb P, Wentzensen N, Wilkens L, Xu W, Yu H, Zeleniuch-Jacquotte A, Zheng W, Guo X, Lipworth L, Du M. Understanding risk factors for endometrial cancer in young women. Journal Of The National Cancer Institute 2024, djae210. PMID: 39235934, DOI: 10.1093/jnci/djae210.Peer-Reviewed Original ResearchRisk factorsEpidemiology of Endometrial Cancer ConsortiumEC riskOdds ratioOlder womenAverage risk womenKnowledge of risk factorsConfidence intervalsPopulation attributable fractionEstimate odds ratiosInverse association with ageYoung womenAmerican Cancer SocietyAssociated with reduced riskIncreased riskEndometrial cancerUnderstanding risk factorsEC risk factorsOral contraceptive useAttributable fractionRisk womenCurrent smokingCancer ConsortiumCancer SocietyAssociated with ageHypertension and risk of endometrial cancer: a pooled analysis in the Epidemiology of Endometrial Cancer Consortium (E2C2)
Habeshian T, Peeri N, De Vivo I, Schouten L, Shu X, Cote M, Bertrand K, Chen Y, Clarke M, Clendenen T, Cook L, Costas L, Dal Maso L, Freudenheim J, Friedenreich C, Gallagher G, Gierach G, Goodman M, Jordan S, La Vecchia C, Lacey J, Levi F, Liao L, Lipworth L, Lu L, Matias-Guiu X, Moysich K, Mutter G, Na R, Naduparambil J, Negri E, O'Connell K, O'Mara T, Hernández I, Palmer J, Parazzini F, Patel A, Penney K, Prizment A, Ricceri F, Risch H, Sacerdote C, Sandin S, Stolzenberg-Solomon R, van den Brandt P, Webb P, Wentzensen N, Wijayabahu A, Wilkens L, Xu W, Yu H, Zeleniuch-Jacquotte A, Zheng W, Du M, Setiawan V. Hypertension and risk of endometrial cancer: a pooled analysis in the Epidemiology of Endometrial Cancer Consortium (E2C2). Cancer Epidemiology Biomarkers & Prevention 2024, 33: 788-795. PMID: 38530242, PMCID: PMC11145161, DOI: 10.1158/1055-9965.epi-23-1444.Peer-Reviewed Original ResearchConceptsEpidemiology of Endometrial Cancer ConsortiumRisk of endometrial cancerComponents of metabolic syndromeCancer ConsortiumRisk factorsAssociated with endometrial cancer riskIncidence rates of endometrial cancerMultivariable unconditional logistic regression modelStronger magnitude of associationEtiology of endometrial cancerStudy designUnconditional logistic regression modelsIncreased risk of endometrial cancerEndometrial cancer riskRates of endometrial cancerUsers of postmenopausal hormone therapyConfidence intervalsRising prevalence of obesityPrevalence of obesityEndometrial cancerMagnitude of associationEndometrial cancer casesMetabolic syndromeBody mass indexLogistic regression modelsDetection of hepatocellular carcinoma methylation markers in salivary DNA
Mezzacappa C, Wang Z, Lu L, Risch H, Taddei T, Yu H. Detection of hepatocellular carcinoma methylation markers in salivary DNA. Bioscience Reports 2024, 44: bsr20232063. PMID: 38457142, PMCID: PMC10958141, DOI: 10.1042/bsr20232063.Peer-Reviewed Original ResearchHepatocellular carcinoma screeningCase patientsHepatocellular carcinomaControl subjectsDiagnosis of hepatocellular carcinomaAssociated with hepatocellular carcinomaScreening testSalivary DNASaliva-based testCpG sitesStudy of risk factorsSalivary DNA methylationDNA methylationViral hepatitisCirculating DNAAlterations to DNA methylationRisk factorsMethylation markersPatientsRegulation of cell cycle progressionBlood samplesCell cycle progressionAffected individualsAlternative to blood samplingMultiple comparisonsImpact of Pre-Diagnostic Risk Factors on Short- and Long-Term Ovarian Cancer Survival Trajectories: A Longitudinal Observational Study
Kim S, Tworoger S, Rosen B, McLaughlin J, Risch H, Narod S, Kotsopoulos J. Impact of Pre-Diagnostic Risk Factors on Short- and Long-Term Ovarian Cancer Survival Trajectories: A Longitudinal Observational Study. Cancers 2024, 16: 972. PMID: 38473333, PMCID: PMC11154316, DOI: 10.3390/cancers16050972.Peer-Reviewed Original ResearchOvarian cancer-specific mortalityLongitudinal observational studyAll-cause mortalityCancer-specific mortalityPredictor of ovarian cancer survivalRisk factorsPopulation-based longitudinal observational studyRisk of all-cause mortalityProvincial cancer registryObservational studySurvival trajectoriesInvasive epithelial ovarian cancerHistory of breastfeedingOvarian cancer survivalExtended Cox proportional hazards modelsCox proportional hazards modelsPredictor of all-cause mortalityCancer RegistryAssociated with long-term overall survivalProportional hazards modelLifestyle factorsAll-causeCancer survivalDiagnosis of ovarian cancerOverall survival
2023
Night shift work, sleep duration and endometrial cancer risk: A pooled analysis from the Epidemiology of Endometrial Cancer Consortium (E2C2)
Frias-Gomez J, Alemany L, Benavente Y, Clarke M, de Francisco J, De Vivo I, Du M, Goodman M, Lacey J, Liao L, Lipworth L, Lu L, Merritt M, Michels K, O'Connell K, Paytubi S, Pelegrina B, Peremiquel-Trillas P, Petruzella S, Ponce J, Risch H, Setiawan V, Schouten L, Shu X, Trabert B, Van den Brandt P, Wentzensen N, Wilkens L, Yu H, Costas L. Night shift work, sleep duration and endometrial cancer risk: A pooled analysis from the Epidemiology of Endometrial Cancer Consortium (E2C2). Sleep Medicine Reviews 2023, 72: 101848. PMID: 37716022, PMCID: PMC10840870, DOI: 10.1016/j.smrv.2023.101848.Peer-Reviewed Original ResearchConceptsNight shift workEndometrial Cancer ConsortiumEndometrial cancer riskEndometrial cancerSleep durationShift workPostmenopausal womenPooled analysisInverse associationOdds ratioCancer riskCancer ConsortiumNon-significant inverse associationStudy-specific odds ratiosEndometrial cancer casesStrong risk factorConfidence intervalsLong sleep durationDaily sleep durationObese womenRisk factorsCancer casesLogistic regressionIndividual dataCancerGenetic Susceptibility to Nonalcoholic Fatty Liver Disease and Risk for Pancreatic Cancer: Mendelian Randomization.
King S, Veliginti S, Brouwers M, Ren Z, Zheng W, Setiawan V, Wilkens L, Shu X, Arslan A, Beane Freeman L, Bracci P, Canzian F, Du M, Gallinger S, Giles G, Goodman P, Haiman C, Kogevinas M, Kooperberg C, LeMarchand L, Neale R, Visvanathan K, White E, Albanes D, Andreotti G, Babic A, Berndt S, Brais L, Brennan P, Buring J, Rabe K, Bamlet W, Chanock S, Fuchs C, Gaziano J, Giovannucci E, Hackert T, Hassan M, Katzke V, Kurtz R, Lee I, Malats N, Murphy N, Oberg A, Orlow I, Porta M, Real F, Rothman N, Sesso H, Silverman D, Thompson I, Wactawski-Wende J, Wang X, Wentzensen N, Yu H, Zeleniuch-Jacquotte A, Yu K, Wolpin B, Duell E, Li D, Hung R, Perdomo S, McCullough M, Freedman N, Patel A, Peters U, Riboli E, Sund M, Tjønneland A, Zhong J, Van Den Eeden S, Kraft P, Risch H, Amundadottir L, Klein A, Stolzenberg-Solomon R, Antwi S. Genetic Susceptibility to Nonalcoholic Fatty Liver Disease and Risk for Pancreatic Cancer: Mendelian Randomization. Cancer Epidemiology Biomarkers & Prevention 2023, 32: 1265-1269. PMID: 37351909, PMCID: PMC10529823, DOI: 10.1158/1055-9965.epi-23-0453.Peer-Reviewed Original ResearchConceptsNonalcoholic fatty liver diseasePancreatic cancer riskFatty liver diseasePancreatic cancerCancer riskLiver diseaseGenetic predispositionMendelian randomizationPancreatic Cancer Case-Control ConsortiumConfidence intervalsPancreatic Cancer Cohort ConsortiumPC risk factorsMR methodsRisk factorsGenome-wide association studiesGenetic susceptibilityLogistic regressionCancerMetabolic perturbationsMetabolic conditionsRiskDiseaseGenetic variantsAssociationPredisposition
2022
The age-dependent association of risk factors with pancreatic cancer
Yuan C, Kim J, Wang QL, Lee AA, Babic A, Consortium P, Amundadottir LT, Ardanaz E, Arslan A, Beane-Freeman L, Bracci P, Bueno-de-Mesquita B, Du M, Gallinger S, Giles G, Goodman P, Katzke V, Klein A, Kooperberg C, Kraft P, Li D, Malats N, Marchand L, McCullough M, Milne R, Neoptolemos J, Perdomo S, Petersen G, Risch H, Shu X, Stolzenberg-Solomon R, Van Den Eeden S, Visvanathan K, White E, Wolpin B, Zheng W, Amundadottir L, Klein A, Li D, McCullough M, Petersen G, Risch H, Stolzenberg-Solomon R, Perez K, Ng K, Giovannucci E, Stampfer M, Kraft P, Wolpin B. The age-dependent association of risk factors with pancreatic cancer. Annals Of Oncology 2022, 33: 693-701. PMID: 35398288, PMCID: PMC9233063, DOI: 10.1016/j.annonc.2022.03.276.Peer-Reviewed Original ResearchConceptsPancreatic cancer casesRisk factorsPancreatic cancerProspective cohortMale sexBlack raceSEER programCancer casesPolygenic risk scoresRisk scoreProspective US cohort studyNon-modifiable risk factorsNon-O blood groupIncident pancreatic cancerUS cohort studyEnd Results ProgramPancreatic cancer riskAge-specific associationsEarly detection strategiesAge-dependent associationGenome-wide association studiesAdvanced diseaseCancer presentsCohort studyUS Surveillance
2020
Associations between Genetically Predicted Blood Protein Biomarkers and Pancreatic Cancer Risk
Zhu J, Shu X, Guo X, Liu D, Bao J, Milne RL, Giles GG, Wu C, Du M, White E, Risch HA, Malats N, Duell EJ, Goodman PJ, Li D, Bracci P, Katzke V, Neale RE, Gallinger S, Van Den Eeden SK, Arslan AA, Canzian F, Kooperberg C, Freeman L, Scelo G, Visvanathan K, Haiman CA, Le Marchand L, Yu H, Petersen GM, Stolzenberg-Solomon R, Klein AP, Cai Q, Long J, Shu XO, Zheng W, Wu L. Associations between Genetically Predicted Blood Protein Biomarkers and Pancreatic Cancer Risk. Cancer Epidemiology Biomarkers & Prevention 2020, 29: 1501-1508. PMID: 32439797, PMCID: PMC7334065, DOI: 10.1158/1055-9965.epi-20-0091.Peer-Reviewed Original ResearchConceptsPancreatic ductal adenocarcinomaProtein quantitative trait lociQuantitative trait lociRisk variantsBlood protein biomarkersPathway enrichment analysisPotential target genesCancer-related pathwaysPDAC riskProtein biomarkersTrait lociTarget genesPancreatic Cancer Case-Control ConsortiumPancreatic Cancer Cohort ConsortiumEnrichment analysisProteinGenetic instrumentsPancreatic cancer riskProtein levelsGenesPDAC developmentProtein biomarker candidatesRisk factorsDuctal adenocarcinomaLethal malignancyRisk factors for hepatocellular carcinoma (HCC) in the northeast of the United States: results of a case–control study
Shen Y, Risch H, Lu L, Ma X, Irwin ML, Lim JK, Taddei T, Pawlish K, Stroup A, Brown R, Wang Z, Jia W, Wong L, Mayne ST, Yu H. Risk factors for hepatocellular carcinoma (HCC) in the northeast of the United States: results of a case–control study. Cancer Causes & Control 2020, 31: 321-332. PMID: 32060838, PMCID: PMC7136513, DOI: 10.1007/s10552-020-01277-1.Peer-Reviewed Original ResearchConceptsRisk of HCCCase-control studyHepatocellular carcinomaRisk factorsHCV infectionHCC riskOdds ratioHepatitis C virus antibodyUnconditional logistic regression modelsElevated HCC riskRapid case ascertainmentC virus antibodyHeavy alcohol intakeConfidence intervalsFamily cancer historyImportant risk factorRandom digit dialingLow socioeconomic statusUnhealthy lifestyle choicesLower household incomeLogistic regression modelsNSAID useAlcohol intakeCigarette smokingHigher BMI
2019
Do changes in health reveal the possibility of undiagnosed pancreatic cancer? Development of a risk-prediction model based on healthcare claims data
Baecker A, Kim S, Risch HA, Nuckols TK, Wu BU, Hendifar AE, Pandol SJ, Pisegna JR, Jeon CY. Do changes in health reveal the possibility of undiagnosed pancreatic cancer? Development of a risk-prediction model based on healthcare claims data. PLOS ONE 2019, 14: e0218580. PMID: 31237889, PMCID: PMC6592596, DOI: 10.1371/journal.pone.0218580.Peer-Reviewed Original ResearchConceptsPancreatic ductal adenocarcinomaPancreatic cancerRisk factorsPDAC diagnosisNew-onset diabetes patientsEnd Results (SEER) tumorMonths of claimsUndiagnosed pancreatic cancerClinical risk factorsMultivariable logistic regressionDiagnosis of PDACSex-matched controlsCase-control studyRisk prediction modelHealthcare claims dataSurveillance EpidemiologyResults TumorsDiabetes patientsDuctal adenocarcinomaClaims dataHealthcare claimsEarly detection methodsLogistic regressionCancerDiagnosisA Pathway Analysis of Hereditary Hemochromatosis-related Genes and Pancreatic Ductal Adenocarcinoma Risk (FS11-05-19)
Julián-Serrano S, Yu K, Yuan F, Wheeler W, Karimi P, Amundadottir L, Jacobs E, Kraft P, Li D, Petersen G, Risch H, Wolphin B, Klein A, Stolzenberg-Solomon R. A Pathway Analysis of Hereditary Hemochromatosis-related Genes and Pancreatic Ductal Adenocarcinoma Risk (FS11-05-19). Current Developments In Nutrition 2019, 3: nzz037.fs11-05-19. PMCID: PMC6573995, DOI: 10.1093/cdn/nzz037.fs11-05-19.Peer-Reviewed Original ResearchPancreatic ductal adenocarcinomaHereditary hemochromatosis geneGenetic susceptibilityPDAC riskSingle nucleotide polymorphismsHereditary hemochromatosisHigh red meat intakeType 2 diabetes mellitusHemochromatosis geneRed meat intakePancreatic Cancer Case-Control ConsortiumIron-rich foodsType 2 diabetesPancreatic Cancer Cohort ConsortiumPancreatic ductal adenocarcinoma (PDAC) riskIntramural Research ProgramNational Cancer InstitutePathway analysisDiabetes mellitusAdenocarcinoma riskPrimary hemochromatosisRisk factorsChronic diseasesDuctal adenocarcinomaMeat intakeCurrent Approaches to Pancreatic Cancer Screening
Chhoda A, Lu L, Clerkin BM, Risch H, Farrell JJ. Current Approaches to Pancreatic Cancer Screening. American Journal Of Pathology 2019, 189: 22-35. PMID: 30558719, DOI: 10.1016/j.ajpath.2018.09.013.BooksConceptsPancreatic ductal adenocarcinomaHigh-risk individualsRisk factorsCancer syndromesHereditary breast-ovarian cancer syndromeBreast-ovarian cancer syndromeEarly resectable stagePancreatic cancer screeningScreening strategyFamilial atypical multipleCancer-related deathOvarian cancer syndromeCurrent screening strategiesLi-Fraumeni syndromePeutz-Jeghers syndromeGenetic risk factorsResectable stageCancer screeningPancreatic cancerChronic diseasesDuctal adenocarcinomaLynch syndromePrecursor lesionsLower incidenceFamilial history
2017
Racial/ethnic differences in the epidemiology of ovarian cancer: a pooled analysis of 12 case-control studies
Peres LC, Risch H, Terry KL, Webb PM, Goodman MT, Wu AH, Alberg AJ, Bandera EV, Barnholtz-Sloan J, Bondy ML, Cote ML, Funkhouser E, Moorman PG, Peters ES, Schwartz AG, Terry PD, Manichaikul A, Abbott SE, Camacho F, Jordan SJ, Nagle CM, Group A, Rossing M, Doherty J, Modugno F, Moysich K, Ness R, Berchuck A, Cook L, Le N, Brooks-Wilson A, Sieh W, Whittemore A, McGuire V, Rothstein J, Anton-Culver H, Ziogas A, Pearce C, Tseng C, Pike M, Schildkraut J, Consortium T. Racial/ethnic differences in the epidemiology of ovarian cancer: a pooled analysis of 12 case-control studies. International Journal Of Epidemiology 2017, 47: 460-472. PMID: 29211900, PMCID: PMC5913601, DOI: 10.1093/ije/dyx252.Peer-Reviewed Original ResearchConceptsAfrican American Cancer Epidemiology StudyRace/ethnicityCase-control studyOvarian Cancer Association ConsortiumOdds ratioLargest odds ratioRisk factorsFamily historyEOC riskFirst-degree family historyModifiable risk factorsMultivariable logistic regressionOvarian cancer incidenceRisk factor associationsCancer Epidemiology StudyEthnic differencesAsian/Pacific IslandersOvarian cancer etiologyBlack womenInvasive EOCPooled analysisEpidemiological characteristicsCancer incidenceOvarian cancerHigh prevalenceQuantifying the Genetic Correlation between Multiple Cancer Types
Lindström S, GECCO and the GAME-ON Network: CORECT D, Finucane H, Bulik-Sullivan B, Schumacher F, Amos C, Hung R, Rand K, Gruber S, Conti D, Permuth J, Lin H, Goode E, Sellers T, Amundadottir L, Stolzenberg-Solomon R, Klein A, Petersen G, Risch H, Wolpin B, Hsu L, Huyghe J, Chang-Claude J, Chan A, Berndt S, Eeles R, Easton D, Haiman C, Hunter D, Neale B, Price A, Kraft P. Quantifying the Genetic Correlation between Multiple Cancer Types. Cancer Epidemiology Biomarkers & Prevention 2017, 26: 1427-1435. PMID: 28637796, PMCID: PMC5582139, DOI: 10.1158/1055-9965.epi-17-0211.Peer-Reviewed Original ResearchConceptsColorectal cancerLung cancerRisk factorsBreast cancerRare high-penetrance mutationsCancer typesBody mass indexSpecific genetic risk factorsGenetic risk factorsHigh-penetrance mutationsMass indexControl subjectsOvarian cancerObservational studyProstate cancerNoncancer diseasesGenome-wide association studiesCancerDistinct cancersPrevious observational studiesAssociation studiesColorectalLungSummary statistics dataModest genetic correlation
2016
Association between family cancer history and risk of pancreatic cancer
Schulte A, Pandeya N, Fawcett J, Fritschi L, Klein K, Risch HA, Webb PM, Whiteman DC, Neale RE. Association between family cancer history and risk of pancreatic cancer. Cancer Epidemiology 2016, 45: 145-150. PMID: 27810486, DOI: 10.1016/j.canep.2016.10.005.Peer-Reviewed Original ResearchConceptsPancreatic cancerFamily historyOdds ratioAustralian population-based case-control studyPopulation-based case-control studyLaird random-effects modelHistory of cancerAdjusted odds ratioPancreatic cancer patientsConfidence intervalsFamily cancer historyCase-control studyPancreatic cancer riskFirst-degree relativesRandom-effects modelMelanoma family historyPancreatic cancer studiesCancer historyCancer patientsRisk factorsPancreatic adenocarcinomaProstate cancerCancer riskMEDLINE databaseCancerRisk Prediction for Epithelial Ovarian Cancer in 11 United States–Based Case-Control Studies: Incorporation of Epidemiologic Risk Factors and 17 Confirmed Genetic Loci
Clyde MA, Weber R, Iversen ES, Poole EM, Doherty JA, Goodman MT, Ness RB, Risch HA, Rossing MA, Terry KL, Wentzensen N, Whittemore AS, Anton-Culver H, Bandera EV, Berchuck A, Carney ME, Cramer DW, Cunningham JM, Cushing-Haugen KL, Edwards RP, Fridley BL, Goode EL, Lurie G, McGuire V, Modugno F, Moysich KB, Olson SH, Pearce CL, Pike MC, Rothstein JH, Sellers TA, Sieh W, Stram D, Thompson PJ, Vierkant RA, Wicklund KG, Wu AH, Ziogas A, Tworoger SS, Schildkraut JM. Risk Prediction for Epithelial Ovarian Cancer in 11 United States–Based Case-Control Studies: Incorporation of Epidemiologic Risk Factors and 17 Confirmed Genetic Loci. American Journal Of Epidemiology 2016, 184: 579-589. PMID: 27698005, PMCID: PMC5065620, DOI: 10.1093/aje/kww091.Peer-Reviewed Original ResearchConceptsEpidemiologic risk factorsEpithelial ovarian cancerYears of ageRisk factorsAbsolute riskOvarian cancerInvasive epithelial ovarian cancerCase-control studyOvarian Cancer Association ConsortiumHierarchical logistic regression modelsRisk prediction modelLogistic regression modelsProspective data setSignificant single nucleotide polymorphismsCase-control statusControl studyRisk predictionSingle nucleotide polymorphismsAgeCancerLow discriminatory powerWomenAUCRegression modelsNucleotide polymorphismsGermline 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 powerEpidemiologyRefluxAdult body mass index and risk of ovarian cancer by subtype: a Mendelian randomization study
Dixon SC, Nagle CM, Thrift AP, Pharoah PD, Pearce CL, Zheng W, Painter JN, Study A, Chenevix-Trench G, Fasching P, Beckmann M, Lambrechts D, Vergote I, Lambrechts S, Van Nieuwenhuysen E, Rossing M, Doherty J, Wicklund K, Chang-Claude J, Rudolph A, Moysich K, Odunsi K, Goodman M, Wilkens L, Thompson P, Shvetsov Y, Dörk T, Park-Simon T, Hillemanns P, Bogdanova N, Butzow R, Nevanlinna H, Pelttari L, Leminen A, Modugno F, Ness R, Edwards R, Kelley J, Heitz F, Karlan B, Kjær S, Høgdall E, Jensen A, Goode E, Fridley B, Cunningham J, Winham S, Giles G, Bruinsma F, Milne R, Southey M, Hildebrandt M, Wu X, Lu K, Liang D, Levine D, Bisogna M, Schildkraut J, Berchuck A, Cramer D, Terry K, Bandera E, Olson S, Salvesen H, Thomsen L, Kopperud R, Bjorge L, Kiemeney L, Massuger L, Pejovic T, Cook L, Le N, Swenerton K, Brooks-Wilson A, Kelemen L, Lubiński J, Huzarski T, Gronwald J, Menkiszak J, Wentzensen N, Brinton L, Yang H, Lissowska J, Høgdall C, Lundvall L, Song H, Tyrer J, Campbell I, Eccles D, Paul J, Glasspool R, Siddiqui N, Whittemore A, Sieh W, McGuire V, Rothstein J, Narod S, Phelan C, Risch H, McLaughlin J, Anton-Culver H, Ziogas A, Menon U, Gayther S, Ramus S, Gentry-Maharaj A, Wu A, Pike M, Tseng C, Kupryjanczyk J, Dansonka-Mieszkowska A, Budzilowska A, Spiewankiewicz B, Webb P, Consortium O. Adult body mass index and risk of ovarian cancer by subtype: a Mendelian randomization study. International Journal Of Epidemiology 2016, 45: 884-895. PMID: 27401727, PMCID: PMC5644573, DOI: 10.1093/ije/dyw158.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAgedAged, 80 and overAllelesBody Mass IndexFemaleGenetic MarkersGenome-Wide Association StudyGenotypeHumansLogistic ModelsMendelian Randomization AnalysisMeta-Analysis as TopicMiddle AgedMultivariate AnalysisObesityOvarian NeoplasmsPolymorphism, Single NucleotideRisk FactorsYoung AdultConceptsBody mass indexOvarian cancerSerous cancerMass indexOdds ratioObservational studyMendelian randomizationStudy-specific odds ratiosHigher body mass indexAdult body mass indexGrade serous ovarian cancerConfidence intervalsOvarian cancer riskOvarian Cancer Association ConsortiumSerous ovarian cancerWeighted genetic risk scoreLack of associationMendelian randomization studyGenetic risk scoreStrength of associationHistological subtypesRisk factorsCancer riskRisk scoreHGSC subtypeAssociation Between Menopausal Estrogen-Only Therapy and Ovarian Carcinoma Risk
Lee AW, Ness RB, Roman LD, Terry KL, Schildkraut JM, Chang-Claude J, Doherty JA, Menon U, Cramer DW, Gayther SA, Risch H, Gentry-Maharaj A, Goodman MT, Modugno F, Eilber U, Moysich KB, Berchuck A, Rossing MA, Jensen A, Wicklund KG, Cushing-Haugen KL, Hogdall E, Rudolph A, Thompson PJ, Wilkens LR, Kjaer SK, Carney ME, Stram DO, Ramus SJ, Wu AH, Pike MC, Pearce CL. Association Between Menopausal Estrogen-Only Therapy and Ovarian Carcinoma Risk. Obstetrics And Gynecology 2016, 127: 828-836. PMID: 27054934, PMCID: PMC4892111, DOI: 10.1097/aog.0000000000001387.Peer-Reviewed Original ResearchConceptsEndometrioid ovarian carcinomaTherapy useOvarian carcinomaPostmenopausal estrogenControl groupPopulation-based case-control studyCase-control studyOvarian carcinoma histotypesOvarian carcinoma riskConditional logistic regressionOvarian Cancer Association ConsortiumSerous ovarian carcinomaDuration of useTiming of useTherapy usersMenopausal estrogensPooled analysisRisk factorsSelf-reported questionnaire dataCarcinoma riskCarcinomaEstrogenRecent usersLogistic regressionHistotype