Featured Publications
Risk of Non-Melanoma Cancers in First-Degree Relatives of CDKN2A Mutation Carriers
Mukherjee B, DeLancey J, Raskin L, Everett J, Jeter J, Begg C, Orlow I, Berwick M, Armstrong B, Kricker A, Marrett L, Millikan R, Culver H, Rosso S, Zanetti R, Kanetsky P, From L, Gruber S, Investigators F. Risk of Non-Melanoma Cancers in First-Degree Relatives of CDKN2A Mutation Carriers. Journal Of The National Cancer Institute 2012, 104: 953-956. PMID: 22534780, PMCID: PMC3379723, DOI: 10.1093/jnci/djs221.Peer-Reviewed Original ResearchConceptsFirst-degree relatives of carriersCDKN2A mutation carriersFirst-degree relativesMutation carriersNon-melanoma cancersFirst-degree relatives of melanoma patientsFirst-degree relatives of mutation carriersKin-cohort methodConfidence intervalsRisk of cancerMelanoma patientsLifetime riskProband's genotypeNon-melanomaFamily membersIncreased riskGastrointestinal cancerCDKN2A mutationsWilms tumorRiskMelanoma StudyPancreatic cancerNoncarriersGenotype distributionMelanoma
2023
A framework for assessing interactions for risk stratification models: the example of ovarian cancer
Phung M, Lee A, McLean K, Anton-Culver H, Bandera E, Carney M, Chang-Claude J, Cramer D, Doherty J, Fortner R, Goodman M, Harris H, Jensen A, Modugno F, Moysich K, Pharoah P, Qin B, Terry K, Titus L, Webb P, Wu A, Zeinomar N, Ziogas A, Berchuck A, Cho K, Hanley G, Meza R, Mukherjee B, Pike M, Pearce C, Trabert B. A framework for assessing interactions for risk stratification models: the example of ovarian cancer. Journal Of The National Cancer Institute 2023, 115: 1420-1426. PMID: 37436712, PMCID: PMC10637032, DOI: 10.1093/jnci/djad137.Peer-Reviewed Original ResearchConceptsFamily history of ovarian cancerOvarian Cancer Association ConsortiumHistory of ovarian cancerFirst-degree family historyMenopausal statusRisk stratification modelCase-control studyRisk prediction modelOvarian cancerDisease riskAccurate risk stratification modelsStratification modelRisk/protective factorsDepot medroxyprogesterone acetate useProtective factorsFactor analysisRiskComprehensive analysis of interactionsCancerAcetate useUnequivocal riskStatusBreastfeedingAnalysis of interactionsPairwise interactions
2022
High pre-diagnosis inflammation-related risk score associated with decreased ovarian cancer survival
Brieger KK, Phung MT, Mukherjee B, Bakulski KM, Anton-Culver H, Bandera EV, Bowtell DDL, Cramer DW, DeFazio A, Doherty JA, Fereday S, Fortner RT, Gentry-Maharaj A, Goode EL, Goodman MT, Harris HR, Matsuo K, Menon U, Modugno F, Moysich KB, Qin B, Ramus SJ, Risch HA, Rossing MA, Schildkraut JM, Trabert B, Vierkant RA, Winham SJ, Wentzensen N, Wu AH, Ziogas A, Khoja L, Cho KR, McLean K, Richardson J, Grout B, Chase A, Deurloo CM, Odunsi K, Nelson BH, Brenton JD, Terry KL, Pharoah P, Berchuck A, Hanley GE, Webb PM, Pike MC, Pearce CL. High pre-diagnosis inflammation-related risk score associated with decreased ovarian cancer survival. Cancer Epidemiology Biomarkers & Prevention 2022, 31: cebp.epi-21-0977-a.2021. PMID: 34789471, PMCID: PMC9281656, DOI: 10.1158/1055-9965.epi-21-0977.Peer-Reviewed Original ResearchConceptsOvarian cancer survivalCox proportional hazards modelProportional hazards modelCancer survivalOvarian cancerRisk scoreHazards modelNonsteroidal anti-inflammatory drug useAnti-inflammatory drug useMenopausal hormone therapy useEnvironmental tobacco smoke exposureInvasive epithelial ovarian cancerHormone therapy usePelvic inflammatory diseaseInflammation-related factorsPolycystic ovarian syndromeTobacco smoke exposureBody mass indexRisk of deathEpithelial ovarian cancerOvarian Cancer Association ConsortiumOvarian cancer diagnosisHigh death rateAspirin useOvarian syndrome
2021
Depot-Medroxyprogesterone Acetate Use Is Associated with Decreased Risk of Ovarian Cancer: The Mounting Evidence of a Protective Role of ProgestinsDMPA Use Decreases Ovarian Cancer Risk
Phung M, Lee A, Wu A, Berchuck A, Cho K, Cramer D, Doherty J, Goodman M, Hanley G, Harris H, McLean K, Modugno F, Moysich K, Mukherjee B, Schildkraut J, Terry K, Titus L, Consortium O, Jordan S, Webb P, Consortium O, Pike M, Pearce C. Depot-Medroxyprogesterone Acetate Use Is Associated with Decreased Risk of Ovarian Cancer: The Mounting Evidence of a Protective Role of ProgestinsDMPA Use Decreases Ovarian Cancer Risk. Cancer Epidemiology Biomarkers & Prevention 2021, 30: 927-935. PMID: 33619020, PMCID: PMC9281627, DOI: 10.1158/1055-9965.epi-20-1355.Peer-Reviewed Original ResearchConceptsOvarian cancer riskDepot medroxyprogesterone acetate useRisk of ovarian cancerDepot medroxyprogesterone acetateCancer riskOvarian cancerDecreased riskInverse associationRisk of invasive epithelial ovarian cancerRisk of ovarian cancer overallAssociated with decreased risk of ovarian cancerDecreased risk of ovarian cancerOvarian Cancer Association ConsortiumDecreased ovarian cancer riskSystematic reviewOvarian cancer overallInvasive epithelial ovarian cancerAssociated with decreased riskCombined oral contraceptive useInjectable progestin-only contraceptivesProgestin-only contraceptive useProgestin-releasing intrauterine deviceContraceptive useAssociated with ovarian cancerProgestin-only contraceptives
2020
Estrogen Plus Progestin Hormone Therapy and Ovarian Cancer: A Complicated Relationship Explored.
Lee A, Wu A, Wiensch A, Mukherjee B, Terry K, Harris H, Carney M, Jensen A, Cramer D, Berchuck A, Doherty J, Modugno F, Goodman M, Alimujiang A, Rossing M, Cushing-Haugen K, Bandera E, Thompson P, Kjaer S, Hogdall E, Webb P, Huntsman D, Moysich K, Lurie G, Ness R, Stram D, Roman L, Pike M, Pearce C. Estrogen Plus Progestin Hormone Therapy and Ovarian Cancer: A Complicated Relationship Explored. Epidemiology 2020, 31: 402-408. PMID: 32028322, PMCID: PMC7584395, DOI: 10.1097/ede.0000000000001175.Peer-Reviewed Original ResearchMeSH KeywordsCase-Control StudiesEstrogen Replacement TherapyFemaleHumansOvarian NeoplasmsRisk AssessmentConceptsRisk of ovarian cancerEstrogen-progestin combined therapyEstrogen-alone therapyAssociated with increased riskOvarian cancerCombination therapyRisk of ovarian cancer overallAssociated with increased risk of ovarian cancerOvarian cancer risk factorsPopulation-based case-control studyOvarian Cancer Association ConsortiumMenopausal hormone therapy useIncreased risk of endometrial cancerOvarian cancer overallRisk of endometrial cancerCancer risk factorsHistotypes of ovarian cancerRisk factorsProgestin hormone therapyMucinous ovarian cancerOvarian cancer casesIn-person interviewsHormone therapy useOvarian cancer histotypesCase-control study
2018
Imputation of missing values in a large job exposure matrix using hierarchical information
Roberts B, Cheng W, Mukherjee B, Neitzel R. Imputation of missing values in a large job exposure matrix using hierarchical information. Journal Of Exposure Science & Environmental Epidemiology 2018, 28: 615-648. PMID: 29789667, PMCID: PMC9929916, DOI: 10.1038/s41370-018-0037-x.Peer-Reviewed Original Research
2017
Meta-analysis of job-exposure matrix data from multiple sources
Cheng W, Roberts B, Mukherjee B, Neitzel R. Meta-analysis of job-exposure matrix data from multiple sources. Journal Of Exposure Science & Environmental Epidemiology 2017, 28: 259-274. PMID: 28975928, PMCID: PMC9936531, DOI: 10.1038/jes.2017.19.Peer-Reviewed Original ResearchConstruction of environmental risk score beyond standard linear models using machine learning methods: application to metal mixtures, oxidative stress and cardiovascular disease in NHANES
Park S, Zhao Z, Mukherjee B. Construction of environmental risk score beyond standard linear models using machine learning methods: application to metal mixtures, oxidative stress and cardiovascular disease in NHANES. Environmental Health 2017, 16: 102. PMID: 28950902, PMCID: PMC5615812, DOI: 10.1186/s12940-017-0310-9.Peer-Reviewed Original ResearchConceptsEnvironmental risk scoreBayesian kernel machine regressionNational Health and Nutrition Examination SurveyHealth and Nutrition Examination SurveyRisk scoreAssociated with odds ratiosNutrition Examination SurveyAssociated with systolicExamination SurveyMulti-pollutant approachKernel machine regressionPollutant mixturesSD increaseEpidemiological researchDiastolic blood pressureMortality outcomesOdds ratioBayesian additive regression treesDisease endpointsHealth endpointsCumulative riskPositive associationEnvironmental exposuresIntermediate markersCardiovascular diseaseOpportunities and Challenges for Environmental Exposure Assessment in Population-Based Studies
Patel C, Kerr J, Thomas D, Mukherjee B, Ritz B, Chatterjee N, Jankowska M, Madan J, Karagas M, McAllister K, Mechanic L, Fallin M, Ladd-Acosta C, Blair I, Teitelbaum S, Amos C. Opportunities and Challenges for Environmental Exposure Assessment in Population-Based Studies. Cancer Epidemiology Biomarkers & Prevention 2017, 26: 1370-1380. PMID: 28710076, PMCID: PMC5581729, DOI: 10.1158/1055-9965.epi-17-0459.Peer-Reviewed Original ResearchConceptsFollow-up of study participantsInfluence cancer riskExposure and behaviourPopulation-based studyExposure assessmentCase-control studyPhysical activityCancer riskCorrelated exposuresStudy participantsEpidemiological studiesGenetic susceptibilityEnvironmental exposure assessmentFollow-upData collectionMultidimensional indicatorsCancer developmentEvaluated 1Indicators of exposureComplex effects of environmental factorsEpidemiological investigationsOccupational exposure assessmentAssessmentEnvironmental factorsDisease development
2014
Central IKKβ inhibition prevents air pollution mediated peripheral inflammation and exaggeration of type II diabetes
Liu C, Fonken L, Wang A, Maiseyeu A, Bai Y, Wang T, Maurya S, Ko Y, Periasamy M, Dvonch T, Morishita M, Brook R, Harkema J, Ying Z, Mukherjee B, Sun Q, Nelson R, Rajagopalan S. Central IKKβ inhibition prevents air pollution mediated peripheral inflammation and exaggeration of type II diabetes. Particle And Fibre Toxicology 2014, 11: 53. PMID: 25358444, PMCID: PMC4226918, DOI: 10.1186/s12989-014-0053-5.Peer-Reviewed Original ResearchMeSH KeywordsAnimalsAntibodies, MonoclonalAnti-Inflammatory AgentsBenzamidesBlood GlucoseDiabetes Mellitus, Type 2Disease Models, AnimalEnergy MetabolismHypothalamusI-kappa B KinaseInflammationInfliximabInhalation ExposureInjections, IntraventricularInsulinInsulin ResistanceInterleukin-6MiceOxygen ConsumptionParticulate MatterProtein Kinase InhibitorsRisk AssessmentRNA, MessengerThermogenesisTime FactorsTumor Necrosis Factor-alphaExtreme Precipitation and Beach Closures in the Great Lakes Region: Evaluating Risk among the Elderly
Bush K, Fossani C, Li S, Mukherjee B, Gronlund C, O'Neill M. Extreme Precipitation and Beach Closures in the Great Lakes Region: Evaluating Risk among the Elderly. International Journal Of Environmental Research And Public Health 2014, 11: 2014-2032. PMID: 24534768, PMCID: PMC3945582, DOI: 10.3390/ijerph110202014.Peer-Reviewed Original ResearchMeSH KeywordsAgedBathing BeachesGastrointestinal DiseasesGreat Lakes RegionHumansRainRisk AssessmentWater PollutionWater QualityConceptsExtreme precipitationBeach closuresWater qualityHospital admissionGreat Lakes regionPrecipitation eventsLong-term time trendsCity-specific estimatesLakes regionPoisson regression modelsBeach closingsPrecipitationClimate changeBeachRegional risk estimationRecreational water qualityLake CityTime trendsRisk estimatesRegression modelsGreatStudy period
2013
Bayesian Analysis of Time-Series Data under Case-Crossover Designs: Posterior Equivalence and Inference
Li S, Mukherjee B, Batterman S, Ghosh M. Bayesian Analysis of Time-Series Data under Case-Crossover Designs: Posterior Equivalence and Inference. Biometrics 2013, 69: 925-936. PMID: 24289144, PMCID: PMC4108592, DOI: 10.1111/biom.12102.Peer-Reviewed Original ResearchConceptsSemi-parametric Bayesian approachLikelihood-based approachRandom nuisance parametersTime series analysisFrequentist literatureNuisance parametersDirichlet processInferential issuesConditional likelihoodPosterior distributionRisk functionTime seriesBayesian workFrequentist approachCase-crossover designSimulation studyRestrictive assumptionsBayesian approachTime Series DataLikelihood formulationBayesian methodsEquivalent resultsBayesian analysisCase-crossoverBayesian frameworkStatistical strategies for constructing health risk models with multiple pollutants and their interactions: possible choices and comparisons
Sun Z, Tao Y, Li S, Ferguson K, Meeker J, Park S, Batterman S, Mukherjee B. Statistical strategies for constructing health risk models with multiple pollutants and their interactions: possible choices and comparisons. Environmental Health 2013, 12: 85. PMID: 24093917, PMCID: PMC3857674, DOI: 10.1186/1476-069x-12-85.Peer-Reviewed Original ResearchConceptsMultipollutant modelsHealth impacts of environmental factorsEffect estimatesExposure-response associationsExposure to multiple pollutantsTime series designConsequence of environmental exposureSample sizeHealth impactsEnvironmental exposuresPresence of multicollinearityRisk predictionPotential interactive effectsInitial screeningPollutant mixturesImpact of environmental factorsSupervised principal component analysisModel dimensionsStatistical literatureData examplesTree-based methodsMultiple pollutantsVariable selectionSimulation studyReduce model dimension
2011
Occupational noise exposure assessment using O*NET and its application to a study of hearing loss in the US general population
Choi Y, Hu H, Tak S, Mukherjee B, Park S. Occupational noise exposure assessment using O*NET and its application to a study of hearing loss in the US general population. Occupational And Environmental Medicine 2011, 69: 176. PMID: 21725070, PMCID: PMC3277688, DOI: 10.1136/oem.2011.064758.Peer-Reviewed Original ResearchConceptsNational Health and Nutrition Examination SurveyPure-tone averageHearing lossNoise scoresGeneral populationStudy of hearing lossNoise-induced health effectsHealth and Nutrition Examination SurveyNutrition Examination SurveyNoise exposure assessmentUS general populationNoise exposure dataLogistic regression modelsHearing thresholdsOccupational noiseExamination SurveyExposure to soundExposure assessmentPotential confoundersEpidemiological researchScore quintilesQuintileAssessment toolOccupational categoriesEpidemiological evidenceBayesian Modeling for Genetic Anticipation in Presence of Mutational Heterogeneity: A Case Study in Lynch Syndrome
Boonstra P, Mukherjee B, Taylor J, Nilbert M, Moreno V, Gruber S. Bayesian Modeling for Genetic Anticipation in Presence of Mutational Heterogeneity: A Case Study in Lynch Syndrome. Biometrics 2011, 67: 1627-1637. PMID: 21627626, PMCID: PMC3176998, DOI: 10.1111/j.1541-0420.2011.01607.x.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAge of OnsetAgedAnticipation, GeneticBayes TheoremChildChild, PreschoolColorectal Neoplasms, Hereditary NonpolyposisComputer SimulationDenmarkFemaleHumansInfantInfant, NewbornMaleMiddle AgedModels, GeneticModels, StatisticalMutationPolymorphism, Single NucleotidePrevalenceRisk AssessmentRisk FactorsYoung AdultConceptsLynch syndromeBirth cohortGenetic anticipationHereditary nonpolyposis colorectal cancerCancer registry dataNonpolyposis colorectal cancerDanish Cancer RegisterGenetic counseling clinicAge-specific incidenceHigh-risk familiesRandom-effects modelCancer RegisterRegistry dataCounseling clinicMismatch repairRandom effectsSecular trendsMedical practiceColorectal cancerSurvival analysis methodsEffects modelConfounding effectsLynchFlexible random effects modelModel fit diagnosticsLead exposure and visual-motor abilities in children from Chennai, India
Palaniappan K, Roy A, Balakrishnan K, Gopalakrishnan L, Mukherjee B, Hu H, Bellinger D. Lead exposure and visual-motor abilities in children from Chennai, India. NeuroToxicology 2011, 32: 465-470. PMID: 21510976, PMCID: PMC3115626, DOI: 10.1016/j.neuro.2011.03.011.Peer-Reviewed Original ResearchMeSH KeywordsAge FactorsBiomarkersChildChild BehaviorChild DevelopmentChild, PreschoolCross-Sectional StudiesDeveloping CountriesEnvironmental ExposureEnvironmental PollutantsFemaleHumansIndiaLeadLead Poisoning, Nervous System, ChildhoodLinear ModelsMaleNeuropsychological TestsPsychomotor PerformanceRisk AssessmentRisk FactorsSocioeconomic FactorsConceptsHigher blood lead levelsBlood lead levelsEducation levelMotor Ability TestUrban Indian childrenVisual-motor abilitiesCross-sectional studyMother's education levelFather's education levelAverage monthly incomeIndian childrenVisuo-motor developmentLead levelsMotor composite scoresMean blood lead levelLead exposureVisual-motorMonthly incomeDose-effect relationshipVisual-motor integrationComposite scoreSchool childrenHigh Risk of Colorectal and Endometrial Cancer in Ashkenazi Families With the MSH2 A636P Founder Mutation
Mukherjee B, Rennert G, Ahn J, Dishon S, Lejbkowicz F, Rennert H, Shiovitz S, Moreno V, Gruber S. High Risk of Colorectal and Endometrial Cancer in Ashkenazi Families With the MSH2 A636P Founder Mutation. Gastroenterology 2011, 140: 1919-1926. PMID: 21419771, PMCID: PMC4835182, DOI: 10.1053/j.gastro.2011.02.071.Peer-Reviewed Original ResearchMeSH KeywordsAdultAge FactorsAgedAged, 80 and overCase-Control StudiesColorectal Neoplasms, Hereditary NonpolyposisEndometrial NeoplasmsFemaleFounder EffectGene FrequencyGenetic Predisposition to DiseaseGenetic TestingHeredityHumansIsraelJewsLikelihood FunctionsMaleMass ScreeningMiddle AgedMutationMutS Homolog 2 ProteinPedigreePenetrancePhenotypeProportional Hazards ModelsRegistriesRisk AssessmentRisk FactorsSex FactorsYoung AdultConceptsRisk of colorectal cancerHazard ratioColorectal cancerCumulative riskPopulation-basedLifetime risk of colorectal cancerCumulative risk of colorectal cancerEstimates of colorectal cancerAge-specific cumulative riskHigh risk of colorectalCases of colorectal cancerModified segregation analysisRisk of colorectalClinical genetics servicesClinic-based sampleEndometrial cancerRisk of ECCase-control studyGenetic servicesLynch syndromeCancer screeningEC riskLifetime riskAshkenazi familiesEstimated penetrance
2010
A new comorbidity index: the health-related quality of life comorbidity index
Mukherjee B, Ou H, Wang F, Erickson S. A new comorbidity index: the health-related quality of life comorbidity index. Journal Of Clinical Epidemiology 2010, 64: 309-319. PMID: 21147517, DOI: 10.1016/j.jclinepi.2010.01.025.Peer-Reviewed Original ResearchMeSH KeywordsAdultComorbidityHealth StatusHumansQuality of LifeRisk AssessmentSeverity of Illness IndexSurveys and QuestionnairesConceptsClinical classification codesPhysical component summaryMedical Expenditure Panel SurveyMental component summaryHealth-related qualityComponent summaryAssociated with physical component summaryHealth-related quality of life comorbidity indexShort Form-12 Physical Component SummaryMEPS databaseMeasures of HRQLComorbidity indexRisk adjustment indexChronic conditionsPanel SurveyRegression modelsInternal validityPatient populationAdjustment indicesClassification codesHRQLSummaryValidation testsIndexModel R2
2009
Bone Lead Level Prediction Models and Their Application to Examine the Relationship of Lead Exposure and Hypertension in the Third National Health and Nutrition Examination Survey
Park S, Mukherjee B, Xia X, Sparrow D, Weisskopf M, Nie H, Hu H. Bone Lead Level Prediction Models and Their Application to Examine the Relationship of Lead Exposure and Hypertension in the Third National Health and Nutrition Examination Survey. Journal Of Occupational And Environmental Medicine 2009, 51: 1422-1436. PMID: 19952788, PMCID: PMC2939477, DOI: 10.1097/jom.0b013e3181bf6c8d.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAged, 80 and overBone and BonesBostonCohort StudiesEnvironmental ExposureFemaleHumansHypertensionLeadLongitudinal StudiesMaleMiddle AgedNutrition SurveysPatellaRadiographyRegression AnalysisRisk AssessmentRisk FactorsSpectrometry, X-Ray EmissionTibiaUnited StatesUnited States Department of Veterans AffairsYoung AdultConceptsNational Health and Nutrition Examination SurveyThird National Health and Nutrition Examination SurveyHealth and Nutrition Examination SurveyNutrition Examination SurveyCommunity-based cohortPatella leadExamination SurveyCohort of older menCommunity-based cohort of older menK X-ray fluorescenceNHANES-IIISignificant associationBlood lead levelsOlder menStandard covariatesPatellaExternal validationCorrelation coefficientBlood leadLead exposureTibiaLead levelsAssociationSurveyLead studiesCalculation of Risk of Colorectal and Endometrial Cancer Among Patients With Lynch Syndrome
Stoffel E, Mukherjee B, Raymond V, Tayob N, Kastrinos F, Sparr J, Wang F, Bandipalliam P, Syngal S, Gruber S. Calculation of Risk of Colorectal and Endometrial Cancer Among Patients With Lynch Syndrome. Gastroenterology 2009, 137: 1621-1627. PMID: 19622357, PMCID: PMC2767441, DOI: 10.1053/j.gastro.2009.07.039.Peer-Reviewed Original ResearchConceptsRisk of colorectal cancerCumulative risk of colorectal cancerHazard ratioColorectal cancerCumulative riskLifetime risk of colorectal cancerMismatch repair gene mutation carriersEstimates of colorectal cancerAge-specific cumulative riskMismatch repair gene mutationsEstimates of lifetime riskCancer genetics clinicsCases of colorectal cancerModified segregation analysisRisk of colorectalColorectal cancer riskHereditary colorectal cancerEndometrial cancerGene mutation carriersRepair gene mutationsRisk of ECOverestimation of penetrationFirst-degree relativesLynch syndromeCancer surveillance