Featured Publications
Exploring the Big Data Paradox for various estimands using vaccination data from the global COVID-19 Trends and Impact Survey (CTIS)
Yang Y, Dempsey W, Han P, Deshmukh Y, Richardson S, Tom B, Mukherjee B. Exploring the Big Data Paradox for various estimands using vaccination data from the global COVID-19 Trends and Impact Survey (CTIS). Science Advances 2024, 10: eadj0266. PMID: 38820165, PMCID: PMC11314312, DOI: 10.1126/sciadv.adj0266.Peer-Reviewed Original ResearchAssociation of Polygenic Risk Scores for Multiple Cancers in a Phenome-wide Study: Results from The Michigan Genomics Initiative
Fritsche L, Gruber S, Wu Z, Schmidt E, Zawistowski M, Moser S, Blanc V, Brummett C, Kheterpal S, Abecasis G, Mukherjee B. Association of Polygenic Risk Scores for Multiple Cancers in a Phenome-wide Study: Results from The Michigan Genomics Initiative. American Journal Of Human Genetics 2018, 102: 1048-1061. PMID: 29779563, PMCID: PMC5992124, DOI: 10.1016/j.ajhg.2018.04.001.Peer-Reviewed Original ResearchConceptsPolygenic risk scoresElectronic health recordsAssociations of polygenic risk scoresPhenome-wide significant associationsPolygenic risk score associationsLongitudinal biorepository effortNon-cancer diagnosesPatients' electronic health recordsPhenome-wide association studyAnalysis of temporal orderMichigan Genomics InitiativeRisk scoreAssociated with multiple phenotypesFemale breast cancerNHGRI-EBI CatalogRisk profileGenetic risk profilesMeasures of genomic variationCancer traitsCase-control studyPheWAS analysisHealth recordsHealth systemMichigan MedicineCancer diagnosisCharacteristics Associated With Racial/Ethnic Disparities in COVID-19 Outcomes in an Academic Health Care System
Gu T, Mack J, Salvatore M, Sankar S, Valley T, Singh K, Nallamothu B, Kheterpal S, Lisabeth L, Fritsche L, Mukherjee B. Characteristics Associated With Racial/Ethnic Disparities in COVID-19 Outcomes in an Academic Health Care System. JAMA Network Open 2020, 3: e2025197. PMID: 33084902, PMCID: PMC7578774, DOI: 10.1001/jamanetworkopen.2020.25197.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedBetacoronavirusBlack or African AmericanComorbidityCoronavirus InfectionsCOVID-19Diabetes Mellitus, Type 2FemaleHealth Status DisparitiesHospitalizationHumansIntensive Care UnitsKidney DiseasesMaleMichiganMiddle AgedNeoplasmsObesityOdds RatioPandemicsPneumonia, ViralPopulation DensityRetrospective StudiesRisk FactorsSARS-CoV-2White PeopleConceptsAssociated with higher riskInternational Classification of DiseasesRisk of hospitalizationPreexisting type 2 diabetesHigher risk of hospitalizationClassification of DiseasesType 2 diabetesCOVID-19 outcomesRacial/ethnic disparitiesWhite patientsBlack patientsIntensive care unitInternational ClassificationResidential-level socioeconomic characteristicsOdds ratioStatistically significant racial differencesHigh riskAssociated with higher risk of hospitalizationNon-Hispanic blacksAssociation of risk factorsNon-Hispanic whitesMichigan Department of HealthAssociated with increased risk of hospitalizationComorbidity scoreDepartment of HealthExploiting 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 averageAssumptionsRisk 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
2024
Cross-shift changes in pulmonary function and occupational exposure to particulate matter among e-waste workers in Ghana
Laskaris Z, O'Neill M, Batterman S, Mukherjee B, Fobil J, Robins T. Cross-shift changes in pulmonary function and occupational exposure to particulate matter among e-waste workers in Ghana. Frontiers In Public Health 2024, 12: 1368112. PMID: 38784567, PMCID: PMC11111984, DOI: 10.3389/fpubh.2024.1368112.Peer-Reviewed Original ResearchConceptsE-waste workersExposure to particulate matterE-wasteParticulate matterAgbogbloshie e-waste siteInhalation exposure to particulate matterE-waste sitesBurning e-wasteConcentrations of PMHealth-based guidelinesExposure to airborne pollutantsExposure to PMOccupational exposure to particulate matterCross-shift changesElectronic-wasteForced vital capacityPersonal PMPM exposureAirborne pollutantsLinear mixed modelsBreathing zone concentrationsPulmonary functionComparison populationRecovery workersMixed modelsCross-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 ResearchConceptsPFAS 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 exposureAssociations of maternal blood metal concentrations with plasma eicosanoids among pregnant women in Puerto Rico
Kim C, Cathey A, Park S, Watkins D, Mukherjee B, Rosario-Pabón Z, Vélez-Vega C, Alshawabkeh A, Cordero J, Meeker J. Associations of maternal blood metal concentrations with plasma eicosanoids among pregnant women in Puerto Rico. The Science Of The Total Environment 2024, 928: 172295. PMID: 38588744, DOI: 10.1016/j.scitotenv.2024.172295.Peer-Reviewed Original ResearchConceptsAdverse birth outcomesSex-specific associationsBirth outcomesBlood metal concentrationsMetal concentrationsPregnant womenInfant sexEicosanoid profileMetal exposurePlasma eicosanoidsWeeks of pregnancyDecreased concentrations of CdConcentrations of CdConcentrations of CuEffect modificationRegulating inflammatory responsesBirth cohortAssessed associationsAssociated with increased concentrationsPregnancy outcomesFemale fetusesEffect sizeInflammatory activitySignificant associationInflammatory response
2023
Prenatal per- and polyfluoroalkyl substances (PFAS) exposure in relation to preterm birth subtypes and size-for-gestational age in the LIFECODES cohort 2006–2008
Siwakoti R, Cathey A, Ferguson K, Hao W, Cantonwine D, Mukherjee B, McElrath T, Meeker J. Prenatal per- and polyfluoroalkyl substances (PFAS) exposure in relation to preterm birth subtypes and size-for-gestational age in the LIFECODES cohort 2006–2008. Environmental Research 2023, 237: 116967. PMID: 37634691, PMCID: PMC10913455, DOI: 10.1016/j.envres.2023.116967.Peer-Reviewed Original ResearchConceptsLarge-for-gestational agePreterm birth subtypesBayesian kernel machine regressionSize-for-gestational ageSmall-for-gestational agePreterm birthFetal sexPregnancy outcomesSex-specific estimatesIncreased risk of adverse pregnancy outcomesInterquartile range increaseRisk of adverse pregnancy outcomesBayesian kernel machine regression analysisEarly pregnancy samplesAdverse pregnancy outcomesCase-control studyPrenatal PFAS exposureAssociations of polyfluoroalkyl substancesBW z-scoreEffects of polyfluoroalkyl substancesKernel machine regressionEffect modificationEffects of prenatal exposureRange increaseStratified analysisFactor in gender to beat the heat in impoverished settlements
Bardhan R, Debnath R, Mukherjee B. Factor in gender to beat the heat in impoverished settlements. Nature 2023, 620: 727-727. PMID: 37608008, DOI: 10.1038/d41586-023-02632-3.Peer-Reviewed Original ResearchPer- and Polyfluoroalkyl Substances (PFAS) and Lipid Trajectories in Women 45–56 Years of Age: The Study of Women’s Health Across the Nation
Kang H, Ding N, Karvonen-Gutierrez C, Mukherjee B, Calafat A, Park S. Per- and Polyfluoroalkyl Substances (PFAS) and Lipid Trajectories in Women 45–56 Years of Age: The Study of Women’s Health Across the Nation. Environmental Health Perspectives 2023, 131: 087004. PMID: 37552133, PMCID: PMC10408595, DOI: 10.1289/ehp12351.Peer-Reviewed Original ResearchConceptsStudy of Women's HealthOdds ratioWomen's HealthMidlife womenConfidence intervalsFavorable blood lipid profileEstimate odds ratiosAdverse effects of PFASSerum PFAS concentrationsLatent class growth modelingLongitudinal trajectoriesAssociated with totalMenopausal transitionAssociated with trajectoriesLow-density lipoprotein (LDL) cholesterolHigh-density lipoprotein (HDL) cholesterolLipid trajectoriesAverage follow-upBlood total cholesterolBlood lipid profileTriglycerides trajectoriesEpidemiological studiesPositive associationBlood lipidsLDL cholesterolCohort profile: Epidemiologic Questionnaire (EPI-Q) – a scalable, app-based health survey linked to electronic health record and genotype data
Salvatore M, Clark-Boucher D, Fritsche L, Ortlieb J, Houghtby J, Driscoll A, Caldwell-Larkins B, Smith J, Brummett C, Kheterpal S, Lisabeth L, Mukherjee B. Cohort profile: Epidemiologic Questionnaire (EPI-Q) – a scalable, app-based health survey linked to electronic health record and genotype data. Epidemiology And Health 2023, 45: e2023074. PMID: 37591787, PMCID: PMC10867525, DOI: 10.4178/epih.e2023074.Peer-Reviewed Original ResearchConceptsElectronic health recordsHealth recordsSelf-reported health dataFamily health historyEpidemiological questionnaireCancer screeningHealth cohortHealth SurveyHealth historyFinancial toxicityBaseline surveyEHR dataHealth dataCohort dataEPI-QAverage ageOccupational exposureGenotype dataParticipantsGenotype informationInstitutional review board approvalResponse rateCohortLife meaningQuestionnaireAdverse birth outcomes are associated with circulating matrix metalloproteinases among pregnant women in Puerto Rico
Kim C, Cathey A, Watkins D, Mukherjee B, Rosario-Pabón Z, Vélez-Vega C, Alshawabkeh A, Cordero J, Meeker J. Adverse birth outcomes are associated with circulating matrix metalloproteinases among pregnant women in Puerto Rico. Journal Of Reproductive Immunology 2023, 159: 103991. PMID: 37454540, PMCID: PMC10726844, DOI: 10.1016/j.jri.2023.103991.Peer-Reviewed Original ResearchConceptsBirth outcomesMatrix metalloproteinasesFetal sexPregnant womenFemale fetusesNewborn lengthVisit 3Associated with increased odds of preeclampsiaVisit 1Impact of matrix metalloproteinasesCustomized Luminex assayGestational diabetes mellitusOdds of preeclampsiaAdverse birth outcomesAssociated with increased oddsGestational ageHealthy pregnancyMale fetusesUterine remodelingLuminex assayLogistic regression modelsDiabetes mellitusStudy visitsInverse associationExtracellular matrixA 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 interactionsPhthalates 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 ResearchConceptsStudy 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
Exposure to heavy metals and hormone levels in midlife women: The Study of Women's Health Across the Nation (SWAN)
Wang X, Ding N, Harlow S, Randolph J, Mukherjee B, Gold E, Park S. Exposure to heavy metals and hormone levels in midlife women: The Study of Women's Health Across the Nation (SWAN). Environmental Pollution 2022, 317: 120740. PMID: 36436662, PMCID: PMC9897061, DOI: 10.1016/j.envpol.2022.120740.Peer-Reviewed Original ResearchConceptsUrinary metal concentrationsExposure to heavy metalsHeavy metalsMetal concentrationsStudy of Women's HealthAssociation of heavy metalsEnvironmental heavy metal exposureHeavy metal exposureSex hormone-binding globulinFollicle-stimulating hormoneWomen's HealthBayesian kernel machine regressionAssociated with E<sub>2</sub>, TMidlife womenKernel machine regressionMetal exposureSerum hormone levelsMetal mixturesHealth-related factorsNation Multi-Pollutant StudyCalculate percent changesCadmiumHormone levelsProspective cohort studyLinear mixed effects modelsLifestyle and personal factors associated with having macroscopic residual disease after ovarian cancer primary cytoreductive surgery
Phung M, Webb P, DeFazio A, Fereday S, Lee A, Bowtell D, Fasching P, Goode E, Goodman M, Karlan B, Lester J, Matsuo K, Modugno F, Brenton J, Van Gorp T, Pharoah P, Schildkraut J, McLean K, Meza R, Mukherjee B, Richardson J, Grout B, Chase A, Deurloo C, Terry K, Hanley G, Pike M, Berchuck A, Ramus S, Pearce C, Consortium O. Lifestyle and personal factors associated with having macroscopic residual disease after ovarian cancer primary cytoreductive surgery. Gynecologic Oncology 2022, 168: 68-75. PMID: 36401943, PMCID: PMC10398872, DOI: 10.1016/j.ygyno.2022.10.018.Peer-Reviewed Original ResearchConceptsHigh-grade serous ovarian cancerEstrogen-only therapyPrimary cytoreductive surgeryMacroscopic residual diseaseResidual diseaseParous womenFamily history of ovarian cancerOvarian Cancer Association ConsortiumMenopausal hormone therapy useHistory of ovarian cancerFirst-degree family historyCytoreductive surgeryOvarian cancer riskOvarian cancerAdvanced stage high-grade serous ovarian cancerPresence of macroscopic residual diseaseHormone therapy useHigh-grade serous ovarian cancer patientsDepot medroxyprogesterone acetate useBody mass indexLogistic regression modelsOral contraceptive useIncomplete pregnanciesSerous ovarian cancerFactors influencing survivalPhthalate 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 ResearchConceptsDual-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 changesOccupational history associates with ALS survival and onset segment
Goutman S, Boss J, Godwin C, Mukherjee B, Feldman E, Batterman S. Occupational history associates with ALS survival and onset segment. Amyotrophic Lateral Sclerosis And Frontotemporal Degeneration 2022, 24: 219-229. PMID: 36193557, PMCID: PMC10067530, DOI: 10.1080/21678421.2022.2127324.Peer-Reviewed Original ResearchConceptsStandard Occupational ClassificationOccupational settingsOnset segmentSelf-reported occupational exposureAmyotrophic Lateral Sclerosis RegistrySelf-reported exposureExposure to particulate matterCervical onsetStandard Occupational Classification codesMultinomial logistic regression modelCox proportional hazards modelsLogistic regression modelsSymptom onset to diagnosisOccupational pesticide exposureProportional hazards modelAssociated with workMaintenance occupationsGrounds cleaningALS clinicALS participantsProspective cohortAdjusted modelsDiagnosis ageAmyotrophic lateral sclerosis participantsOccupational historyPer- and Polyfluoroalkyl Substances and Incident Hypertension in Multi-Racial/Ethnic Women: The Study of Women's Health Across the Nation
Ding N, Karvonen-Gutierrez C, Mukherjee B, Calafat A, Harlow S, Park S. Per- and Polyfluoroalkyl Substances and Incident Hypertension in Multi-Racial/Ethnic Women: The Study of Women's Health Across the Nation. Hypertension 2022, 79: 1876-1886. PMID: 35695012, PMCID: PMC9308661, DOI: 10.1161/hypertensionaha.121.18809.Peer-Reviewed Original ResearchConceptsHazard ratioIncident hypertensionLowest tertileHighest tertileStudy of Women's HealthFree of hypertensionCalculate hazard ratiosAnnual follow-up visitsCardiovascular disease riskCox proportional hazards modelsQuantile g-computationWomen's cardiovascular disease riskWomen's HealthNo significant associationProportional hazards modelMidlife womenFollow-up visitG-computationDisease riskBlood pressure controlSerum concentrationsSignificant associationPositive associationHazards modelTertile