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
2021
Exposure to Primary Air Pollutants Generated by Highway Traffic and Daily Mortality Risk in Near-Road Communities: A Case-Crossover Study
Filigrana P, Milando C, Batterman S, Levy J, Mukherjee B, Pedde M, Szpiro A, Adar S. Exposure to Primary Air Pollutants Generated by Highway Traffic and Daily Mortality Risk in Near-Road Communities: A Case-Crossover Study. American Journal Of Epidemiology 2021, 191: 63-74. PMID: 34347034, DOI: 10.1093/aje/kwab215.Peer-Reviewed Original ResearchConceptsNear-road populationsAir pollutionMortality riskExposure to traffic-related air pollutionAverage PM2.5 exposureTraffic-generated air pollutionNear-road communitiesResearch LINE sourceConcentrations of PM2.5Traffic-related air pollutionCase-crossover designPrimary air pollutantsConditional logistic regressionPuget Sound area of Washington StateDaily mortality riskCase-crossoverTime-varying covariatesCerebrovascular mortalityPM2.5 exposurePrimary pollutantsQuantify associationsAerodynamic diameterShorter averaging periodsPM2.5Pollution
2019
Factors 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
2017
Neighborhood characteristics influence DNA methylation of genes involved in stress response and inflammation: The Multi-Ethnic Study of Atherosclerosis
Smith J, Zhao W, Wang X, Ratliff S, Mukherjee B, Kardia S, Liu Y, Roux A, Needham B. Neighborhood characteristics influence DNA methylation of genes involved in stress response and inflammation: The Multi-Ethnic Study of Atherosclerosis. Epigenetics 2017, 12: 662-673. PMID: 28678593, PMCID: PMC5687339, DOI: 10.1080/15592294.2017.1341026.Peer-Reviewed Original ResearchConceptsMulti-Ethnic Study of AtherosclerosisMulti-Ethnic StudyStudy of AtherosclerosisSocioeconomic disadvantageIndividual-level socioeconomic factorsEtiology of health disparitiesAssociated with poor health outcomesPopulation-based sample of US adultsSocioeconomic factorsNeighborhood conditionsNeighborhood socioeconomic disadvantageSample of US adultsNeighborhood social environmentHigher socioeconomic disadvantagePoor health outcomesIndividual socioeconomic factorsPopulation-based sampleDimensions of neighborhood contextHealth disparitiesInfluence methylation levelsHealth outcomesUS adultsSocial environmentDisadvantaged neighborhoodsNeighborhood characteristicsAcculturation Strategies and Symptoms of Depression: The Mediators of Atherosclerosis in South Asians Living in America (MASALA) Study
Needham B, Mukherjee B, Bagchi P, Kim C, Mukherjea A, Kandula N, Kanaya A. Acculturation Strategies and Symptoms of Depression: The Mediators of Atherosclerosis in South Asians Living in America (MASALA) Study. Journal Of Immigrant And Minority Health 2017, 20: 792-798. PMID: 28748299, PMCID: PMC5785586, DOI: 10.1007/s10903-017-0635-z.Peer-Reviewed Original ResearchConceptsSymptoms of depressionDepressive symptomsUS cultureSouth Asian immigrantsAcculturation strategiesElevated symptoms of depressionSocial supportSelf-reported social supportUndertreated mental disordersCES-D scaleAsian immigrantsSouth Asian culturesElevated symptomsLatent class analysisMental disordersCES-DIntegrated classesSouth AsiansMediators of AtherosclerosisAsian culturesDepressionLatent classesClass analysisAcculturationSymptoms
2016
Classification and Clustering Methods for Multiple Environmental Factors in Gene–Environment Interaction
Ko Y, Mukherjee B, Smith J, Kardia S, Allison M, Roux A. Classification and Clustering Methods for Multiple Environmental Factors in Gene–Environment Interaction. Epidemiology 2016, 27: 870-878. PMID: 27479650, PMCID: PMC5039086, DOI: 10.1097/ede.0000000000000548.Peer-Reviewed Original ResearchMeSH KeywordsAgedAged, 80 and overAtherosclerosisBayes TheoremCluster AnalysisData Interpretation, StatisticalEnvironmental ExposureEpidemiologic Research DesignFemaleFollow-Up StudiesGene-Environment InteractionGenetic Predisposition to DiseaseHumansMiddle AgedModels, StatisticalRegression AnalysisRisk FactorsConceptsMultiple environmental exposuresGene-environment interactionsG x EEnvironmental exposuresMultiethnic Study of AtherosclerosisStudy of AtherosclerosisGene-environmentEffect modificationMultiethnic StudyEnvironmental factorsExposure subgroupsEnvironmental exposure profilesMain effectExposure profilesE studyEfficient analysis strategyE analysisMultiple environmental factorsSubgroupsAnalysis strategyFactorsExposureProduct termsA splicing variant of TERT identified by GWAS interacts with menopausal estrogen therapy in risk of ovarian cancer
Lee A, Bomkamp A, Bandera E, Jensen A, Ramus S, Goodman M, Rossing M, Modugno F, Moysich K, Chang‐Claude J, Rudolph A, Gentry‐Maharaj A, Terry K, Gayther S, Cramer D, Doherty J, Schildkraut J, Kjaer S, Ness R, Menon U, Berchuck A, Mukherjee B, Roman L, Pharoah P, Chenevix‐Trench G, Olson S, Hogdall E, Wu A, Pike M, Stram D, Pearce C, Consortium F. A splicing variant of TERT identified by GWAS interacts with menopausal estrogen therapy in risk of ovarian cancer. International Journal Of Cancer 2016, 139: 2646-2654. PMID: 27420401, PMCID: PMC5500237, DOI: 10.1002/ijc.30274.Peer-Reviewed Original ResearchMeSH KeywordsAge FactorsAgedAged, 80 and overAllelesAlternative SplicingCase-Control StudiesDisease SusceptibilityEstrogen Replacement TherapyFemaleGene-Environment InteractionGenome-Wide Association StudyGenotypeHumansMenopauseMiddle AgedOdds RatioOvarian NeoplasmsPolymorphism, Single NucleotidePopulation SurveillanceRiskTelomeraseConceptsOvarian Cancer Association ConsortiumEstrogen-alone therapyOvarian cancer riskEndometrioid ovarian cancerOvarian cancerET usersET useT alleleAssociated with ovarian cancer riskCancer riskLong-term ET usersOvarian cancer susceptibility lociRisk of ovarian cancerSusceptibility variantsMenopausal estrogen therapyCancer susceptibility lociSerous ovarian cancerSplice variantsNon-usersCase-control studyConditional logistic regressionGenome-wide association studiesIncreased risk of diseaseEndometrioid histotypeEstrogen therapyAcculturation Strategies Among South Asian Immigrants: The Mediators of Atherosclerosis in South Asians Living in America (MASALA) Study
Needham B, Mukherjee B, Bagchi P, Kim C, Mukherjea A, Kandula N, Kanaya A. Acculturation Strategies Among South Asian Immigrants: The Mediators of Atherosclerosis in South Asians Living in America (MASALA) Study. Journal Of Immigrant And Minority Health 2016, 19: 373-380. PMID: 26928020, PMCID: PMC5003760, DOI: 10.1007/s10903-016-0372-8.Peer-Reviewed Original ResearchConceptsSouth Asian immigrantsAcculturation strategiesAsian immigrantsCross-cultural psychologySouth AsiansCultural attitudesEpidemiological cohort dataAcculturationImmigrantsHigher levels of incomeTheoretical frameworkLevel of incomeSociodemographic correlatesLatent class analysisLatent class regression analysisReligious affiliationMethodological approachConceptual ambiguityClass analysisAssimilationAmerica StudyMediators of AtherosclerosisUSAsiansGroup of individuals
2015
Life course socioeconomic status and DNA methylation in genes related to stress reactivity and inflammation: The multi-ethnic study of atherosclerosis
Needham B, Smith J, Zhao W, Wang X, Mukherjee B, Kardia S, Shively C, Seeman T, Liu Y, Roux A. Life course socioeconomic status and DNA methylation in genes related to stress reactivity and inflammation: The multi-ethnic study of atherosclerosis. Epigenetics 2015, 10: 958-969. PMID: 26295359, PMCID: PMC4844216, DOI: 10.1080/15592294.2015.1085139.Peer-Reviewed Original ResearchConceptsMulti-Ethnic Study of AtherosclerosisAssociated with DNA methylationSocioeconomic statusStress-related genesMulti-Ethnic StudyStudy of AtherosclerosisDNA methylationLow adult socioeconomic statusLife course socioeconomic statusLow childhood socioeconomic statusMeasures of socioeconomic statusAdult socioeconomic statusSocial patterning of diseaseChildhood socioeconomic statusGene expressionLow socioeconomic statusLife course measuresAssociated with gene expressionInflammation-related genesFunctional consequences of alterationsDNA methylation measurementsNon-HispanicHispanic participantsPotential functional consequencesEpigenetic dataAssociation between Stress Response Genes and Features of Diurnal Cortisol Curves in the Multi-Ethnic Study of Atherosclerosis: A New Multi-Phenotype Approach for Gene-Based Association Tests
He Z, Payne E, Mukherjee B, Lee S, Smith J, Ware E, Sánchez B, Seeman T, Kardia S, Roux A. Association between Stress Response Genes and Features of Diurnal Cortisol Curves in the Multi-Ethnic Study of Atherosclerosis: A New Multi-Phenotype Approach for Gene-Based Association Tests. PLOS ONE 2015, 10: e0126637. PMID: 25993632, PMCID: PMC4439141, DOI: 10.1371/journal.pone.0126637.Peer-Reviewed Original ResearchConceptsMulti-Ethnic Study of AtherosclerosisMarker association testsCortisol featuresMulti-Ethnic StudySingle marker association testsStudy of AtherosclerosisAssociation TestGene level association testsGene-based association testsEthnic-specific resultsMeta-analysisGenetic contribution to variabilityGene-level analysisStress-responsive genesSample of European AmericansGenotype-phenotype associationsDiurnal cortisol curveHispanic AmericansChronic diseasesMultiple physiological systemsDaily cortisol profilesAfrican AmericansGene approachGene-basedMultiple testing
2014
Endogenous sex steroid hormones and glucose in a South‐Asian population without diabetes: the Metabolic Syndrome and Atherosclerosis in South‐Asians Living in America pilot study
Needham B, Kim C, Mukherjee B, Bagchi P, Stanczyk F, Kanaya A. Endogenous sex steroid hormones and glucose in a South‐Asian population without diabetes: the Metabolic Syndrome and Atherosclerosis in South‐Asians Living in America pilot study. Diabetic Medicine 2014, 32: 1193-1200. PMID: 25443798, PMCID: PMC4449322, DOI: 10.1111/dme.12642.Peer-Reviewed Original ResearchConceptsEndogenous sex steroid hormonesLevels of sex hormone-binding globulinAssociated with elevated fasting glucose levelsSex steroid hormonesSex hormone-binding globulinElevated fasting glucose levelsHormone-binding globulinSex steroid hormone levelsFasting glucose levelsSteroid hormone levelsGlucose levelsHepatic adipositySteroid hormonesWaist circumferenceMetabolic syndromeHigher levels of free testosteroneHormone levelsInsulin resistanceLevels of total testosteroneSouth Asian populationLevels of free testosteroneExogenous sex steroidsSouth AsiansAge-adjusted modelsAsian Indian originTesting departure from additivity in Tukey's model using shrinkage: application to a longitudinal setting
Ko Y, Mukherjee B, Smith J, Park S, Kardia S, Allison M, Vokonas P, Chen J, Diez‐Roux A. Testing departure from additivity in Tukey's model using shrinkage: application to a longitudinal setting. Statistics In Medicine 2014, 33: 5177-5191. PMID: 25112650, PMCID: PMC4227925, DOI: 10.1002/sim.6281.Peer-Reviewed Original ResearchMeSH KeywordsAgedAged, 80 and overAgingAtherosclerosisBone and BonesComputer SimulationEnvironmental ExposureEthnicityFemaleGene-Environment InteractionHumansIronLeadLeast-Squares AnalysisLikelihood FunctionsLongitudinal StudiesMaleMiddle AgedModels, GeneticUnited StatesUnited States Department of Veterans AffairsConceptsGene-environment interactionsMulti-Ethnic Study of AtherosclerosisModel of gene-environment interactionMulti-Ethnic StudyTukey's modelLongitudinal settingStudy of AtherosclerosisNormative Aging StudyCase-control studyIncreasing categoriesAging StudyTested interactionsLongitudinal studyCategorical variablesRobust to misspecificationInteraction termsTest departuresShrinkage estimatorsWald testInteraction estimatesIncreased powerOne-degree-of-freedom modelInteraction effectsSetsEnvironmental markers
2013
Statistical 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 dimensionPropensity score‐based diagnostics for categorical response regression models
Boonstra P, Bondarenko I, Park S, Vokonas P, Mukherjee B. Propensity score‐based diagnostics for categorical response regression models. Statistics In Medicine 2013, 33: 455-469. PMID: 23934948, PMCID: PMC3911784, DOI: 10.1002/sim.5940.Peer-Reviewed Original ResearchConceptsRetrospective sampling designsChi-square distributionCategorical response modelsGoodness-of-fit statisticsPredicted response probabilitiesResponse regression modelsConditional distributionProportional odds modelAssess model adequacyData examplesSimulation studyVA Normative Aging StudyNormative Aging StudyPropensity scoreCumulative lead exposureOdds modelModel diagnosticsCase-control studyAssociated with diabetesBalance scoresResponse probabilityModel adequacyCohort studyAging StudyNumerical summariesNovel Likelihood Ratio Tests for Screening Gene‐Gene and Gene‐Environment Interactions With Unbalanced Repeated‐Measures Data
Ko Y, Saha‐Chaudhuri P, Park S, Vokonas P, Mukherjee B. Novel Likelihood Ratio Tests for Screening Gene‐Gene and Gene‐Environment Interactions With Unbalanced Repeated‐Measures Data. Genetic Epidemiology 2013, 37: 581-591. PMID: 23798480, PMCID: PMC4009698, DOI: 10.1002/gepi.21744.Peer-Reviewed Original ResearchConceptsGene-environment interactionsGene-gene interactionsTesting gene-gene interactionsModel gene-gene interactionsRepeated-measures studyLongitudinal cohort studyNormative Aging StudyCumulative lead exposureCase-control studyGene-environmentGene-geneType I error rateCohort studyScreening toolAging StudyLikelihood ratio testMain effectEpistasis patternsRatio testLead exposureHemochromatosis genePower propertiesPulse pressureRegression-based approachRestrictive assumptionsTranscriptome Profiling Identifies HMGA2 as a Biomarker of Melanoma Progression and Prognosis
Raskin L, Fullen D, Giordano T, Thomas D, Frohm M, B. K, Ahn J, Mukherjee B, Johnson T, Gruber S. Transcriptome Profiling Identifies HMGA2 as a Biomarker of Melanoma Progression and Prognosis. Journal Of Investigative Dermatology 2013, 133: 2585-2592. PMID: 23633021, PMCID: PMC4267221, DOI: 10.1038/jid.2013.197.Peer-Reviewed Original ResearchConceptsAmerican Joint Committee on CancerOverall survivalTissue microarrayPrimary melanomaMelanoma pathogenesisMelanoma progressionAssociated with disease-free survivalAnalysis of tissue microarraysMetastases-free survivalDisease-free survivalHMGA2 overexpressionCox proportional hazards regression modelsLog-rank testPredictors of survivalProportional hazards regression modelsHazards regression modelsBRAF/NRAS mutationsPrimary tumorPrognostic featuresMelanoma metastasesClinicopathological characteristicsReal-time PCRGenetic alterationsAQUA analysisMelanoma developmentElevated Risk of Prostate Cancer Among Men With Lynch Syndrome
Raymond V, Mukherjee B, Wang F, Huang S, Stoffel E, Kastrinos F, Syngal S, Cooney K, Gruber S. Elevated Risk of Prostate Cancer Among Men With Lynch Syndrome. Journal Of Clinical Oncology 2013, 31: 1713-1718. PMID: 23530095, PMCID: PMC3641694, DOI: 10.1200/jco.2012.44.1238.Peer-Reviewed Original ResearchConceptsLynch syndromeCumulative lifetime riskRisk of prostate cancerAge-specific cumulative riskLifetime risk of prostate cancerFamilial cancer registryGeneral populationHazard ratioCumulative risk of prostate cancerModified segregation analysisProstate cancerFourth-degree relativesCumulative riskProstate cancer riskLS familiesCancer RegistryCancer riskLifetime riskCases of prostate cancerPopulation riskMismatch repair-deficient phenotypeWald-type CICancer diagnosisMutation carriersElevated risk
2012
Likelihood‐based methods for regression analysis with binary exposure status assessed by pooling
Lyles R, Tang L, Lin J, Zhang Z, Mukherjee B. Likelihood‐based methods for regression analysis with binary exposure status assessed by pooling. Statistics In Medicine 2012, 31: 2485-2497. PMID: 22415630, PMCID: PMC3528351, DOI: 10.1002/sim.4426.Peer-Reviewed Original ResearchConceptsPopulation-based case-control study of colorectal cancerCase-control study of colorectal cancerPopulation-based case-control studyStudy of colorectal cancerExposure statusBinary outcomesRegression modelsCase-control sampleLogistic regression modelsGene-disease associationsObserved binary outcomeStudy designEpidemiological studiesColorectal cancerAssess exposureMaximum likelihood analysisRegression analysisLikelihood-based methodsExposure assessmentMaximum likelihood approachLikelihood approachCross-sectionSimulation studyOutcomesLikelihood analysis
2011
High 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
Cumulative lead exposure and age-related hearing loss: The VA Normative Aging Study
Park S, Elmarsafawy S, Mukherjee B, Spiro A, Vokonas P, Nie H, Weisskopf M, Schwartz J, Hu H. Cumulative lead exposure and age-related hearing loss: The VA Normative Aging Study. Hearing Research 2010, 269: 48-55. PMID: 20638461, PMCID: PMC2934752, DOI: 10.1016/j.heares.2010.07.004.Peer-Reviewed Original ResearchConceptsAge-related hearing lossPure-tone averagePatella lead levelsCumulative lead exposureHearing lossHearing thresholdsNormative Aging StudyAssociated with poorer hearing thresholdsOdds of hearing lossAir conduction hearing thresholdsAssociated with hearing lossConduction hearing thresholdsPoorer hearing thresholdsAging StudyDevelopment of age-related hearing lossReduction of lead exposureVA Normative Aging StudyCross-sectional analysisLead exposureOccupational noiseHearing abilityK X-ray fluorescencePotential confoundersEpidemiological researchLead levels