Featured Publications
Methods for mediation analysis with high-dimensional DNA methylation data: Possible choices and comparisons
Clark-Boucher D, Zhou X, Du J, Liu Y, Needham B, Smith J, Mukherjee B. Methods for mediation analysis with high-dimensional DNA methylation data: Possible choices and comparisons. PLOS Genetics 2023, 19: e1011022. PMID: 37934796, PMCID: PMC10655967, DOI: 10.1371/journal.pgen.1011022.Peer-Reviewed Original ResearchMeSH KeywordsBayes TheoremDNA MethylationEnvironmental ExposureHumansLinear ModelsMediation AnalysisConceptsBayesian Sparse Linear Mixed ModelMediation analysisHigh-dimensional mediation analysisMulti-ethnic cohortEpigenetic researchHealth outcomesHigh-dimensional DNA methylation dataLinear mixed modelsDNA methylation dataContinuous outcomesEvaluate DNA methylationDNA methylationMethylation dataDNAm dataMixed modelsDiverse simulationsSeamless implementationModern statistical methodsMediation effectR packageUnited StatesOutcomesExploiting Gene-Environment Independence for Analysis of Case–Control Studies: An Empirical Bayes-Type Shrinkage Estimator to Trade-Off Between Bias and Efficiency
Mukherjee B, Chatterjee N. Exploiting Gene-Environment Independence for Analysis of Case–Control Studies: An Empirical Bayes-Type Shrinkage Estimator to Trade-Off Between Bias and Efficiency. Biometrics 2007, 64: 685-694. PMID: 18162111, DOI: 10.1111/j.1541-0420.2007.00953.x.Peer-Reviewed Original ResearchConceptsGene-environment independenceShrinkage estimatorsLog odds ratio parametersCase-control dataGene-environment independence assumptionOdds ratio parametersCase-control estimatorsData-adaptive fashionData exampleProspective logistic regression analysisBinary exposureGene-environment associationsIndependence assumptionLogistic regression analysisCase-onlyMaximum likelihood frameworkEstimationSample sizeBinary genesRegression analysisChatterjeeExamplesWeighted averageAssumptions
2024
Cross-Sectional Associations between Prenatal Per- and Poly-Fluoroalkyl Substances and Bioactive Lipids in Three Environmental Influences on Child Health Outcomes (ECHO) Cohorts
Suthar H, Manea T, Pak D, Woodbury M, Eick S, Cathey A, Watkins D, Strakovsky R, Ryva B, Pennathur S, Zeng L, Weller D, Park J, Smith S, DeMicco E, Padula A, Fry R, Mukherjee B, Aguiar A, Geiger S, Ng S, Huerta-Montanez G, Vélez-Vega C, Rosario Z, Cordero J, Zimmerman E, Woodruff T, Morello-Frosch R, Schantz S, Meeker J, Alshawabkeh A, Aung M, Outcomes O. Cross-Sectional Associations between Prenatal Per- and Poly-Fluoroalkyl Substances and Bioactive Lipids in Three Environmental Influences on Child Health Outcomes (ECHO) Cohorts. Environmental Science And Technology 2024, 58: 8264-8277. PMID: 38691655, PMCID: PMC11097396, DOI: 10.1021/acs.est.4c00094.Peer-Reviewed Original ResearchMeSH KeywordsAdultChildChild HealthCohort StudiesCross-Sectional StudiesEnvironmental ExposureEnvironmental PollutantsFemaleFluorocarbonsHumansLipidsMaternal ExposurePregnancyConceptsPFAS mixtureLinear mixed modelsBioactive lipidsChild health outcomesCross-sectional associationsPrenatal PFAS exposureBioactive lipid levelsPoly-fluoroalkyl substancesQuantile g-computationMixed modelsGestational outcomesHealth outcomesPregnancy outcomesPregnant womenCombined cohortG-computationCohort analysisProgram cohortQuartile increaseLipid levelsCohortPositive associationMeta-analysisEnvironmental influencesPFAS exposureAvocational exposure associations with ALS risk, survival, and phenotype: A Michigan-based case-control study
Goutman S, Boss J, Jang D, Piecuch C, Farid H, Batra M, Mukherjee B, Feldman E, Batterman S. Avocational exposure associations with ALS risk, survival, and phenotype: A Michigan-based case-control study. Journal Of The Neurological Sciences 2024, 457: 122899. PMID: 38278093, PMCID: PMC11060628, DOI: 10.1016/j.jns.2024.122899.Peer-Reviewed Original ResearchMeSH KeywordsAmyotrophic Lateral SclerosisCase-Control StudiesEnvironmental ExposureHumansMichiganMiddle AgedPhenotypeRisk FactorsConceptsALS riskLower educational attainmentAssociated with ALS riskCase-control studyExercise 5Onset ageSelf-completionExposure variablesYard workExposure associationsRecreational danceIdentified exposureExerciseEducational attainmentAL burdenEnvironmental exposuresParticipantsAL factorPersonal participationAvocational exposureRiskExposomeHobbiesALS onsetComparison correction
2023
Phthalates and Incident Diabetes in Midlife Women: The Study of Women's Health Across the Nation (SWAN)
Peng M, Karvonen-Gutierrez C, Herman W, Mukherjee B, Park S. Phthalates and Incident Diabetes in Midlife Women: The Study of Women's Health Across the Nation (SWAN). The Journal Of Clinical Endocrinology & Metabolism 2023, 108: 1947-1957. PMID: 36752637, PMCID: PMC10348472, DOI: 10.1210/clinem/dgad033.Peer-Reviewed Original ResearchMeSH KeywordsDiabetes MellitusEnvironmental ExposureEnvironmental PollutantsFemaleHumansPhthalic AcidsWomen's HealthConceptsStudy of Women's HealthIncidence of diabetesWomen's HealthIncident diabetesMono-carboxyisononyl phthalatePhthalate metabolitesAssociated with diabetes incidenceHazard ratioCohort of midlife womenHealth-related factorsRacially/ethnically diverse cohortHigh-molecular-weight phthalate metabolitesTime-varying exposureCox proportional hazards modelsProportional hazards modelEffect modificationMono-isobutyl phthalateRacial/ethnic groupsDiabetes incidenceMono(3-carboxypropyl) phthalateMidlife womenMono-carboxyoctyl phthalateWhite womenAsian womenLongitudinal evidence
2022
Phthalate exposure is associated with more rapid body fat gain in midlife women: The Study of Women's Health Across the Nation (SWAN) Multi-Pollutant Study
Peng M, Karvonen-Gutierrez C, Herman W, Mukherjee B, Park S. Phthalate exposure is associated with more rapid body fat gain in midlife women: The Study of Women's Health Across the Nation (SWAN) Multi-Pollutant Study. Environmental Research 2022, 216: 114685. PMID: 36341787, PMCID: PMC9870605, DOI: 10.1016/j.envres.2022.114685.Peer-Reviewed Original ResearchMeSH KeywordsAdipose TissueEnvironmental ExposureEnvironmental PollutantsFemaleHumansObesityPhthalic AcidsThinnessWomen's HealthConceptsDual-energy X-ray absorptiometryBody fat gainStudy of Women's HealthBaseline obesity statusFat massFat gainObesity statusPhthalate metabolitesMidlife womenPhthalate exposureWomen's HealthX-ray absorptiometryEtiology of obesityMono-carboxy-isononyl phthalateAttenuation of estimatesBody fat percentageBody weightMono-isobutyl phthalateMono(3-carboxypropyl) phthalateNormal/underweight womenAssociated with faster increasesMenopause-related factorsStudy obesityStratified analysisFM changes
2021
Urinary Heavy Metals and Longitudinal Changes in Blood Pressure in Midlife Women: The Study of Women’s Health Across the Nation
Wang X, Karvonen-Gutierrez C, Herman W, Mukherjee B, Harlow S, Park S. Urinary Heavy Metals and Longitudinal Changes in Blood Pressure in Midlife Women: The Study of Women’s Health Across the Nation. Hypertension 2021, 78: 543-551. PMID: 34148361, PMCID: PMC8266752, DOI: 10.1161/hypertensionaha.121.17295.Peer-Reviewed Original Research
2020
Application of an analytical framework for multivariate mediation analysis of environmental data
Aung M, Song Y, Ferguson K, Cantonwine D, Zeng L, McElrath T, Pennathur S, Meeker J, Mukherjee B. Application of an analytical framework for multivariate mediation analysis of environmental data. Nature Communications 2020, 11: 5624. PMID: 33159049, PMCID: PMC7648785, DOI: 10.1038/s41467-020-19335-2.Peer-Reviewed Original ResearchAssociations of Perfluoroalkyl Substances with Incident Natural Menopause: The Study of Women’s Health Across the Nation
Ding N, Harlow S, Randolph J, Calafat A, Mukherjee B, Batterman S, Gold E, Park S. Associations of Perfluoroalkyl Substances with Incident Natural Menopause: The Study of Women’s Health Across the Nation. The Journal Of Clinical Endocrinology & Metabolism 2020, 105: dgaa303. PMID: 32491182, PMCID: PMC7418447, DOI: 10.1210/clinem/dgaa303.Peer-Reviewed Original ResearchConceptsStudy of Women's HealthNatural menopauseHazard ratioSerum concentrationsWomen's HealthCohort of midlife womenConfidence intervalsCalculate hazard ratiosAdverse health outcomesPFAS serum concentrationsMonths of amenorrheaAssociation of perfluoroalkyl substancesEarly natural menopauseBaseline serum concentrationsCox proportional hazards modelsAssociated with earlier natural menopauseIsotope dilution tandem mass spectrometryHealth outcomesProportional hazards modelReverse causationBleeding episodesMidlife womenLowest tertileMedian timeHormone use
2019
Estimating Outcome-Exposure Associations when Exposure Biomarker Detection Limits vary Across Batches.
Boss J, Mukherjee B, Ferguson K, Aker A, Alshawabkeh A, Cordero J, Meeker J, Kim S. Estimating Outcome-Exposure Associations when Exposure Biomarker Detection Limits vary Across Batches. Epidemiology 2019, 30: 746-755. PMID: 31299670, PMCID: PMC6677587, DOI: 10.1097/ede.0000000000001052.Peer-Reviewed Original ResearchMeSH KeywordsBiomarkersComputer SimulationData Interpretation, StatisticalEnvironmental ExposureEpidemiologic Research DesignHumansLimit of DetectionModels, StatisticalConceptsBinary outcome dataLikelihood-based methodsComplete-case analysisDistributional assumptionsAssignment of samplesSuperior estimation propertiesSimulation studyComplete-caseMultiple imputation strategyExposure dataMultiple batchesBatch assignmentEstimated propertiesLimit-variablesSingle imputationMultiple imputationCohort studyDeterminants of per- and polyfluoroalkyl substances (PFAS) in midlife women: Evidence of racial/ethnic and geographic differences in PFAS exposure
Park S, Peng Q, Ding N, Mukherjee B, Harlow S. Determinants of per- and polyfluoroalkyl substances (PFAS) in midlife women: Evidence of racial/ethnic and geographic differences in PFAS exposure. Environmental Research 2019, 175: 186-199. PMID: 31129528, PMCID: PMC6579633, DOI: 10.1016/j.envres.2019.05.028.Peer-Reviewed Original ResearchMeSH KeywordsAnimalsDietary ExposureEnvironmental ExposureEnvironmental PollutantsEthnicityFemaleFluorocarbonsHumansMiddle AgedPregnancyRace FactorsUnited StatesConceptsWhite womenIntake of salty snacksStudy of Women's HealthPoly-fluoroalkyl substancesPerfluorooctane sulfonic acidDeterminants of PFAS concentrationsDeterminants of PFAS exposurePFAS exposureConcentrations of PFASsSalty snacksWomen's HealthPublic health concernPre-specified variablesLinear perfluorooctanoic acidPerfluorooctanoic acidExposure backgroundMidlife womenHigher intakePerfluorononanoic acidLow PFAS concentrationsPFNA concentrationsBlack womenRace/ethnicityHigher concentrationsPFAS concentrationsUrinary metals and metal mixtures in midlife women: The Study of Women's Health Across the Nation (SWAN)
Wang X, Mukherjee B, Batterman S, Harlow S, Park S. Urinary metals and metal mixtures in midlife women: The Study of Women's Health Across the Nation (SWAN). International Journal Of Hygiene And Environmental Health 2019, 222: 778-789. PMID: 31103473, PMCID: PMC6583796, DOI: 10.1016/j.ijheh.2019.05.002.Peer-Reviewed Original ResearchConceptsMultiple metalsMetal mixturesExposure to multiple metalsExposure patternsConcentrations of metalsExposure to metalsConsumption of seafoodHigh-resolution inductively coupled plasma mass spectrometryInductively coupled plasma mass spectrometryMeasured urinary concentrationsGeometric mean concentrationsMetal exposurePlasma mass spectrometrySeafood intakeUrinary metalsMean concentrationsRice intakeSeafoodUrinary concentrationsDetectable concentrationHigher exposuresGeographical characteristicsMercuryLead levelsMetalHigh plasma concentrations of organic pollutants negatively impact survival in amyotrophic lateral sclerosis
Goutman S, Boss J, Patterson A, Mukherjee B, Batterman S, Feldman E. High plasma concentrations of organic pollutants negatively impact survival in amyotrophic lateral sclerosis. Journal Of Neurology Neurosurgery & Psychiatry 2019, 90: 907. PMID: 30760645, PMCID: PMC6625908, DOI: 10.1136/jnnp-2018-319785.Peer-Reviewed Original ResearchMeSH KeywordsAmyotrophic Lateral SclerosisEnvironmental ExposureEnvironmental PollutantsFemaleHalogenated Diphenyl EthersHumansMaleMiddle AgedPolychlorinated BiphenylsSurvivalConceptsPersistent organic pollutantsPolychlorinated biphenylsHigh concentrations of persistent organic pollutantsAmyotrophic lateral sclerosisConcentrations of persistent organic pollutantsEffects of persistent organic pollutantsMeasurement of persistent organic pollutantsHazard rate of mortalitySymptom onset to diagnosisMedian diagnostic ageNegatively impacts survivalLowest quartileIndependent of ageOrganic pollutantsSummary measuresMedian timeClinical featuresMedical recordsRate of mortalityDiagnostic ageEnvironmental exposuresBulbar onsetALS diseaseCervical onsetPlasma concentrationsA comprehensive gene–environment interaction analysis in Ovarian Cancer using genome‐wide significant common variants
Kim S, Wang M, Tyrer J, Jensen A, Wiensch A, Liu G, Lee A, Ness R, Salvatore M, Tworoger S, Whittemore A, Anton‐Culver H, Sieh W, Olson S, Berchuck A, Goode E, Goodman M, Doherty J, Chenevix‐Trench G, Rossing M, Webb P, Giles G, Terry K, Ziogas A, Fortner R, Menon U, Gayther S, Wu A, Song H, Brooks‐Wilson A, Bandera E, Cook L, Cramer D, Milne R, Winham S, Kjaer S, Modugno F, Thompson P, Chang‐Claude J, Harris H, Schildkraut J, Le N, Wentzensen N, Trabert B, Høgdall E, Huntsman D, Pike M, Pharoah P, Pearce C, Mukherjee B. A comprehensive gene–environment interaction analysis in Ovarian Cancer using genome‐wide significant common variants. International Journal Of Cancer 2019, 144: 2192-2205. PMID: 30499236, PMCID: PMC6399057, DOI: 10.1002/ijc.32029.Peer-Reviewed Original ResearchConceptsOral contraceptive pill useExcess risk due to additive interactionOvarian cancer risk factorsOral contraceptive pillsGene-environment interaction analysisCancer risk factorsGene-environment analysisOvarian cancer casesOCP useCase-control studyGenome-wide association analysisAdditive scaleCancer casesOvarian cancerOdds ratioCommon variantsDuration of OCP useRisk allelesRisk factorsGenetic variantsAdditive interactionAssociation analysisWomenFollow-upC allele
2018
Selection of nonlinear interactions by a forward stepwise algorithm: Application to identifying environmental chemical mixtures affecting health outcomes
Narisetty N, Mukherjee B, Chen Y, Gonzalez R, Meeker J. Selection of nonlinear interactions by a forward stepwise algorithm: Application to identifying environmental chemical mixtures affecting health outcomes. Statistics In Medicine 2018, 38: 1582-1600. PMID: 30586682, PMCID: PMC7134269, DOI: 10.1002/sim.8059.Peer-Reviewed Original ResearchMeSH KeywordsAlgorithmsComputer SimulationEnvironmental ExposureEnvironmental PollutantsHazardous SubstancesHumansNonlinear DynamicsThe associations between prenatal exposure to triclocarban, phenols and parabens with gestational age and birth weight in northern Puerto Rico
Aker A, Ferguson K, Rosario Z, Mukherjee B, Alshawabkeh A, Cordero J, Meeker J. The associations between prenatal exposure to triclocarban, phenols and parabens with gestational age and birth weight in northern Puerto Rico. Environmental Research 2018, 169: 41-51. PMID: 30412856, PMCID: PMC6347499, DOI: 10.1016/j.envres.2018.10.030.Peer-Reviewed Original ResearchConceptsAssociated with gestational ageGestational ageOdds of SGAInfant sexBirth outcomesStudy visitsVisit 1Odds of preterm birthOdds of LGAAssociated with adverse birth outcomesBirthweight z-scoreBiomarker concentrationsAdverse birth outcomesPuerto Rico TestsitePreterm birthPregnant womenBirth weightUrinary biomarker concentrationsExposure biomarkersLogistic regression modelsVisit 3SGADecreased oddsZ-scoreCalculate oddsAssociations of cumulative exposure to heavy metal mixtures with obesity and its comorbidities among U.S. adults in NHANES 2003–2014
Wang X, Mukherjee B, Park S. Associations of cumulative exposure to heavy metal mixtures with obesity and its comorbidities among U.S. adults in NHANES 2003–2014. Environment International 2018, 121: 683-694. PMID: 30316184, PMCID: PMC6268112, DOI: 10.1016/j.envint.2018.09.035.Peer-Reviewed Original ResearchConceptsEnvironmental risk scoreAssociated with obesityHeavy metal mixturesHeavy metalsMetal mixturesAssociation of cumulative exposureCumulative exposureComplex survey designEffects of cumulative exposurePhysical activityObesity measuresAdaptive elastic-netChronic conditionsExposure to heavy metalsInteraction of heavy metalsWaist circumferenceTotal body fatNHANES cyclesU.S. adultsEpidemiological researchType 2 diabetes mellitusCorrelated heavy metalSmoking statusHigher BMISkinfold thickness
2017
Robust distributed lag models using data adaptive shrinkage
Chen Y, Mukherjee B, Adar S, Berrocal V, Coull B. Robust distributed lag models using data adaptive shrinkage. Biostatistics 2017, 19: 461-478. PMID: 29040386, PMCID: PMC6454578, DOI: 10.1093/biostatistics/kxx041.Peer-Reviewed Original ResearchMeSH KeywordsAir PollutionBayes TheoremBiostatisticsComputer SimulationEnvironmental ExposureEpidemiologyHealth SurveysHumansModels, StatisticalConceptsDistributed lag modelsDistributed LagLag modelTime series dataEffects of air pollutionBias-variance trade-offGeneralized ridge regressionShrinkage methodAir pollution studiesHierarchical Bayes approachShrinkage approachTime seriesDl functionAir pollutionPollution studiesEffect estimatesTrade-offsExtensive simulation studyDependent variableShrinking coefficientsMean square errorLagSimulation studyBayes approachRidge regressionOpportunities 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 developmentExposure enriched outcome dependent designs for longitudinal studies of gene–environment interaction
Sun Z, Mukherjee B, Estes J, Vokonas P, Park S. Exposure enriched outcome dependent designs for longitudinal studies of gene–environment interaction. Statistics In Medicine 2017, 36: 2947-2960. PMID: 28497531, PMCID: PMC5523112, DOI: 10.1002/sim.7332.Peer-Reviewed Original ResearchConceptsLongitudinal cohort studyCohort studyCase-only designLongitudinal studyG x E interactionNormative Aging StudyComplete-case analysisGene-environmentSampling designCase-controlVeterans AdministrationComplex human diseasesE interactionExposure informationAging StudyOutcome trajectoriesStratified samplingRetrospective genotypingIndividual exposureCovariate dataExposure effectsJoint effectsOutcomesTime-varying outcomeEnvironmental factors