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
Mortality and Severe Complications Among Newly Graduated Surgeons in the United States
Howard R, Thelen A, Chen X, Gates R, Krumm A, Millis M, Gupta T, Brown C, Bandeh-Ahmadi H, Wnuk G, Yee C, Ryan A, Mukherjee B, Dimick J, George B. Mortality and Severe Complications Among Newly Graduated Surgeons in the United States. Annals Of Surgery 2023, 279: 555-560. PMID: 37830271, PMCID: PMC10939969, DOI: 10.1097/sla.0000000000006128.Peer-Reviewed Original ResearchConceptsYears of practiceSevere complicationsRelative riskGeneral surgeonsIndependent practiceYears of independent practiceCareer surgeonsRelative risk of mortalityAmerican Board of SurgerySurgeon yearsMixed modelsSurgeon characteristicsRate of mortalityMedicare claimsComplicationsSurgeonsPatient outcomesPatientsMortalityAmerican BoardOutcomesEvaluating Educational Outcomes Using Patient Outcomes of New Surgeons Performing Partial Colectomy Compared to Cholecystectomy
George B, Thelen A, Howard R, Kendrick D, Chen X, Clark M, Gupta T, Brown C, Bandeh-Ahmadi H, Luckoski J, Wnuk G, Fan Z, Krumm A, Ryan A, Buyske J, Mukherjee B, Dimick J. Evaluating Educational Outcomes Using Patient Outcomes of New Surgeons Performing Partial Colectomy Compared to Cholecystectomy. Academic Medicine 2023, 98: s143-s148. PMID: 37983406, DOI: 10.1097/acm.0000000000005368.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedCholecystectomyColectomyHumansMedicareRetrospective StudiesSurgeonsUnited StatesConceptsPartial colectomyPatient outcomesYears of practiceExperienced surgeonSurgeon yearsRisk-adjusted ratesCholecystectomyColectomyTraining of surgeonsInpatient cholecystectomyComplicationsImprove surgical educationPatientsEvaluate educational outcomesSurgeonsSurgical residentsBenefit patientsInpatient operationsResidency trainingStudy periodDeathOutcomesSurgical educationMixed modelsTrainingAssociation of Surgical Resident Competency Ratings With Patient Outcomes
Kendrick D, Thelen A, Chen X, Gupta T, Yamazaki K, Krumm A, Bandeh-Ahmadi H, Clark M, Luckoscki J, Fan Z, Wnuk G, Ryan A, Mukherjee B, Hamstra S, Dimick J, Holmboe E, George B. Association of Surgical Resident Competency Ratings With Patient Outcomes. Academic Medicine 2023, 98: 813-820. PMID: 36724304, DOI: 10.1097/acm.0000000000005157.Peer-Reviewed Original ResearchConceptsPatient outcomesGeneral surgery residentsMilestone ratingsSevere complicationsInpatient general surgical proceduresSurgery residentsGeneral surgical proceduresHigh-risk procedureCross-sectional studyCompetency ratingsGeneral surgical residentsRisk-adjusted ratesClinical outcomesIndex operationSurgical proceduresGeneral surgeonsMedicare populationComplicationsNational MedicareYears of practiceSecondary analysisClinical performanceSurgical residentsOutcomesMortality
2022
Metals and risk of incident metabolic syndrome in a prospective cohort of midlife women in the United States
Wang X, Karvonen-Gutierrez C, Herman W, Mukherjee B, Park S. Metals and risk of incident metabolic syndrome in a prospective cohort of midlife women in the United States. Environmental Research 2022, 210: 112976. PMID: 35202625, PMCID: PMC9869389, DOI: 10.1016/j.envres.2022.112976.Peer-Reviewed Original ResearchConceptsEnvironmental risk scoreCohort of midlife womenIncident MetSMidlife womenHazard ratioRisk of incident MetSRisk of incident metabolic syndromeProspective cohortStudy of Women's HealthFree of MetSRisk of cardiometabolic diseasesIncident metabolic syndromeMetabolic syndromeImpaired fasting glucoseCox proportional hazards modelsHigh-density lipoprotein cholesterolHigh blood pressureMetS incidenceWomen's HealthProportional hazards modelAbdominal obesityNation Multi-Pollutant StudyDevelopment of metabolic syndromeCardiometabolic diseasesHigh triglycerides
2020
Do black/white differences in telomere length depend on socioeconomic status?
Needham B, Salerno S, Roberts E, Boss J, Allgood K, Mukherjee B. Do black/white differences in telomere length depend on socioeconomic status? Biodemography And Social Biology 2020, 65: 287-312. PMID: 33243026, PMCID: PMC7703670, DOI: 10.1080/19485565.2020.1765734.Peer-Reviewed Original ResearchConceptsUS blacksNational Health and Nutrition Examination SurveyHealth and Nutrition Examination SurveyNutrition Examination SurveyAccelerated biological agingLeukocyte telomere lengthLonger telomere lengthExamination SurveyRisk of diseaseSocioeconomic statusHigher SESLow SESMiddle SESBlack/white differencesTelomere lengthRace differencesSESEconomic disadvantageBiological ageWhiteGenetic explanationBlackHealthDifferencesSurveyCancer PRSweb: An Online Repository with Polygenic Risk Scores for Major Cancer Traits and Their Evaluation in Two Independent Biobanks
Fritsche L, Patil S, Beesley L, VandeHaar P, Salvatore M, Ma Y, Peng R, Taliun D, Zhou X, Mukherjee B. Cancer PRSweb: An Online Repository with Polygenic Risk Scores for Major Cancer Traits and Their Evaluation in Two Independent Biobanks. American Journal Of Human Genetics 2020, 107: 815-836. PMID: 32991828, PMCID: PMC7675001, DOI: 10.1016/j.ajhg.2020.08.025.Peer-Reviewed Original ResearchConceptsPolygenic risk scoresGenome-wide association studiesMichigan Genomics InitiativeUK BiobankPopulation-based UK BiobankPolygenic risk score constructionPublished genome-wide association studiesLongitudinal biorepository effortAssociation studiesPredictive polygenic risk scoresRisk scoreNHGRI-EBI GWAS CatalogCancer traitsIndependent biobankMichigan MedicineGWAS CatalogGenome InitiativeBiobankScoresTraitsCancer researchOnline repositoryMichiganMedicineEvaluationExpanding Our Understanding of Ovarian Cancer Risk: The Role of Incomplete Pregnancies
Lee AW, Rosenzweig S, Wiensch A, Group T, Ramus SJ, Menon U, Gentry-Maharaj A, Ziogas A, Anton-Culver H, Whittemore AS, Sieh W, Rothstein JH, McGuire V, Wentzensen N, Bandera EV, Qin B, Terry KL, Cramer DW, Titus L, Schildkraut JM, Berchuck A, Goode EL, Kjaer SK, Jensen A, Jordan SJ, Ness RB, Modugno F, Moysich K, Thompson PJ, Goodman MT, Carney ME, Chang-Claude J, Rossing MA, Harris HR, Doherty JA, Risch HA, Khoja L, Alimujiang A, Phung MT, Brieger K, Mukherjee B, Pharoah PDP, Wu AH, Pike MC, Webb PM, Pearce CL. Expanding Our Understanding of Ovarian Cancer Risk: The Role of Incomplete Pregnancies. Journal Of The National Cancer Institute 2020, 113: 301-308. PMID: 32766851, PMCID: PMC7936053, DOI: 10.1093/jnci/djaa099.Peer-Reviewed Original ResearchConceptsOvarian cancer riskInvasive epithelial ovarian cancerClear cell ovarian cancerIncomplete pregnanciesEpithelial ovarian cancerOvarian cancerOvarian Cancer Association ConsortiumCancer riskOdds ratioInvasive epithelial ovarian cancer casesEpithelial ovarian cancer casesHistotype-specific analysesHistotype-specific associationsOral contraceptive useInvasive ovarian cancerHistory of breastfeedingConfidence intervalsOvarian cancer casesCase-control studyOCAC studiesMajor histotypesPooled analysisInverse associationCancer casesComplete pregnancyAssociations 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 useMethods to Account for Uncertainty in Latent Class Assignments When Using Latent Classes as Predictors in Regression Models, with Application to Acculturation Strategy Measures.
Elliott M, Zhao Z, Mukherjee B, Kanaya A, Needham B. Methods to Account for Uncertainty in Latent Class Assignments When Using Latent Classes as Predictors in Regression Models, with Application to Acculturation Strategy Measures. Epidemiology 2020, 31: 194-204. PMID: 31809338, PMCID: PMC7480960, DOI: 10.1097/ede.0000000000001139.Peer-Reviewed Original ResearchConceptsMeasurement error modelJoint modelRegression parametersLatent classesLikelihood-basedLatent class modelSimulation studyClass modelTwo-stage modelClassError modelPrimary interestAcculturation behaviorsMeasurement errorSouth Asian immigrantsLatent class analysisAsian immigrantsTrue classUncertaintyClass analysisEstimationStrategy measures
2019
Mother–Child and Father–Child Connectedness in Adolescence and Disordered Eating Symptoms in Young Adulthood
Hazzard V, Miller A, Bauer K, Mukherjee B, Sonneville K. Mother–Child and Father–Child Connectedness in Adolescence and Disordered Eating Symptoms in Young Adulthood. Journal Of Adolescent Health 2019, 66: 366-371. PMID: 31722823, PMCID: PMC7007817, DOI: 10.1016/j.jadohealth.2019.09.019.Peer-Reviewed Original ResearchConceptsFasting/skipping mealsDisordered eating symptomsEating symptomsEating-related concernsSex-stratified logistic regression modelsAssociated with lower oddsStatistically significant associationYoung adulthoodControl weightLogistic regression modelsSignificant associationLower oddsSymptomsU.S. young adultsCompensatory behaviorsNationally representative sampleYoung adultsFather childrenAdolescentsNational Longitudinal Study of AdolescentEating disorder interventionsLongitudinal Study of AdolescentBingePotential protective factorsProtective factorsAssociations between childhood maltreatment latent classes and eating disorder symptoms in a nationally representative sample of young adults in the United States
Hazzard V, Bauer K, Mukherjee B, Miller A, Sonneville K. Associations between childhood maltreatment latent classes and eating disorder symptoms in a nationally representative sample of young adults in the United States. Child Abuse & Neglect 2019, 98: 104171. PMID: 31546098, PMCID: PMC6885127, DOI: 10.1016/j.chiabu.2019.104171.Peer-Reviewed Original ResearchConceptsEating disorder symptomsFasting/skipping mealsDisorder symptomsEating-related concernsChildhood maltreatmentPhysical abusePhysical neglectAssociated with eating disorder symptomsLatent classesSexual abuseAssociated with eating disordersChildhood physical neglectYoung adultsNationally representative sampleMulti-type maltreatmentMaltreatment profilesLogistic regression modelsEating disordersLatent class analysisCompensatory behaviorsU.S. young adultsHigh riskStudy of AdolescentLongitudinal Study of AdolescentRepresentative sampleDeterminants 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 ResearchConceptsWhite 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 levelsMetalFactors Associated With Use of Sipuleucel-T to Treat Patients With Advanced Prostate Cancer
Caram M, Ross R, Lin P, Mukherjee B. Factors Associated With Use of Sipuleucel-T to Treat Patients With Advanced Prostate Cancer. JAMA Network Open 2019, 2: e192589. PMID: 31002323, PMCID: PMC6481456, DOI: 10.1001/jamanetworkopen.2019.2589.Peer-Reviewed Original ResearchConceptsMinimally symptomatic metastatic castration-resistant prostate cancerSipuleucel-TProstate cancerSymptomatic metastatic castration-resistant prostate cancerDatabase of commercially insured patientsMetastatic castration-resistant prostate cancerCastration-resistant prostate cancerAge of patientsRetrospective cohort studyFactors associated with useAssociated with patientsCommercially insured patientsPatterns of treatmentConcurrent therapyTreated patientsCohort studyMultivariate analysisCancer therapyTherapyPatientsPhysician factorsCancerBarriers to treatmentBinomial logistic regressionLogistic regression
2018
Associations 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 thicknessNovel Common Genetic Susceptibility Loci for Colorectal Cancer
Schmit SL, Edlund CK, Schumacher FR, Gong J, Harrison TA, Huyghe JR, Qu C, Melas M, Van Den Berg DJ, Wang H, Tring S, Plummer SJ, Albanes D, Alonso MH, Amos CI, Anton K, Aragaki AK, Arndt V, Barry EL, Berndt SI, Bezieau S, Bien S, Bloomer A, Boehm J, Boutron-Ruault MC, Brenner H, Brezina S, Buchanan DD, Butterbach K, Caan BJ, Campbell PT, Carlson CS, Castelao JE, Chan AT, Chang-Claude J, Chanock SJ, Cheng I, Cheng YW, Chin LS, Church JM, Church T, Coetzee GA, Cotterchio M, Correa M, Curtis KR, Duggan D, Easton DF, English D, Feskens EJM, Fischer R, FitzGerald LM, Fortini BK, Fritsche LG, Fuchs CS, Gago-Dominguez M, Gala M, Gallinger SJ, Gauderman WJ, Giles GG, Giovannucci EL, Gogarten SM, Gonzalez-Villalpando C, Gonzalez-Villalpando EM, Grady WM, Greenson JK, Gsur A, Gunter M, Haiman CA, Hampe J, Harlid S, Harju JF, Hayes RB, Hofer P, Hoffmeister M, Hopper JL, Huang SC, Huerta JM, Hudson TJ, Hunter DJ, Idos GE, Iwasaki M, Jackson RD, Jacobs EJ, Jee SH, Jenkins MA, Jia WH, Jiao S, Joshi AD, Kolonel LN, Kono S, Kooperberg C, Krogh V, Kuehn T, Küry S, LaCroix A, Laurie CA, Lejbkowicz F, Lemire M, Lenz HJ, Levine D, Li CI, Li L, Lieb W, Lin Y, Lindor NM, Liu YR, Loupakis F, Lu Y, Luh F, Ma J, Mancao C, Manion FJ, Markowitz SD, Martin V, Matsuda K, Matsuo K, McDonnell KJ, McNeil CE, Milne R, Molina AJ, Mukherjee B, Murphy N, Newcomb PA, Offit K, Omichessan H, Palli D, Cotoré JPP, Pérez-Mayoral J, Pharoah PD, Potter JD, Qu C, Raskin L, Rennert G, Rennert HS, Riggs BM, Schafmayer C, Schoen RE, Sellers TA, Seminara D, Severi G, Shi W, Shibata D, Shu XO, Siegel EM, Slattery ML, Southey M, Stadler ZK, Stern MC, Stintzing S, Taverna D, Thibodeau SN, Thomas DC, Trichopoulou A, Tsugane S, Ulrich CM, van Duijnhoven FJB, van Guelpan B, Vijai J, Virtamo J, Weinstein SJ, White E, Win AK, Wolk A, Woods M, Wu AH, Wu K, Xiang YB, Yen Y, Zanke BW, Zeng YX, Zhang B, Zubair N, Kweon SS, Figueiredo JC, Zheng W, Le Marchand L, Lindblom A, Moreno V, Peters U, Casey G, Hsu L, Conti DV, Gruber SB. Novel Common Genetic Susceptibility Loci for Colorectal Cancer. Journal Of The National Cancer Institute 2018, 111: 146-157. PMID: 29917119, PMCID: PMC6555904, DOI: 10.1093/jnci/djy099.Peer-Reviewed Original ResearchImputation 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 disease