Featured Publications
Set‐based tests for genetic association in longitudinal studies
He Z, Zhang M, Lee S, Smith J, Guo X, Palmas W, Kardia S, Diez Roux A, Mukherjee B. Set‐based tests for genetic association in longitudinal studies. Biometrics 2015, 71: 606-615. PMID: 25854837, PMCID: PMC4601568, DOI: 10.1111/biom.12310.Peer-Reviewed Original ResearchConceptsMulti-Ethnic Study of AtherosclerosisGenome-wide association studiesJoint effect of multiple variantsLinkage disequilibriumAssociation studiesEffects of multiple variantsMarkers of chronic diseaseGenetic variantsSet-based testGene-based testsLongitudinal outcomesMulti-Ethnic StudyGenetic association studiesStudy of AtherosclerosisChronic diseasesPhenotypic variationGenetic associationObservational studyLongitudinal analysisWithin-subject correlationMultiple variantsScore type testsJoint testJoint effectsMarker tests
2022
The importance of community during rapid development: The influence of social networks on acute gastrointestinal illness in rural Ecuador
Hegde S, Trostle J, Mukherjee B, Eisenberg J. The importance of community during rapid development: The influence of social networks on acute gastrointestinal illness in rural Ecuador. SSM - Population Health 2022, 19: 101159. PMID: 35795263, PMCID: PMC9251719, DOI: 10.1016/j.ssmph.2022.101159.Peer-Reviewed Original ResearchAcute gastrointestinal illnessTwo-stage Bayesian hierarchical modelCommunity-level factorsCross-sectional analysisGastrointestinal illnessFocus groupsReduce healthSocial networksDense social tiesWashing practicesInfluence of social networksNetworks of peopleCommunity cohesionSocial infrastructureSocial tiesIllnessBayesian hierarchical modelJoint effectsCommunity networksPeopleMeasures of riskRiskCommunityIncreasing population densityIndividuals
2021
Urinary concentrations of phenols and parabens and incident diabetes in midlife women
Lee S, Karvonen-Gutierrez C, Mukherjee B, Herman W, Harlow S, Park S. Urinary concentrations of phenols and parabens and incident diabetes in midlife women. Environmental Epidemiology 2021, 5: e171. PMID: 34934892, PMCID: PMC8683147, DOI: 10.1097/ee9.0000000000000171.Peer-Reviewed Original ResearchIncident diabetesHazard ratioAssociated with incident diabetesStudy of Women's HealthMid-life womenAdjusted hazard ratiosAssociation of incident diabetesProspective cohort studyWomen's HealthNo significant associationWomen's backgroundConcentration of phenolJoint effectsExposure variablesG-computationQuantile-based g-computationWithin-person variabilityBenzophenone-3Cohort studyDiabetes-freeBisphenol ANonlinear associationSignificant associationJoint effect of mixturesConcentrations of bisphenol AA hierarchical integrative group least absolute shrinkage and selection operator for analyzing environmental mixtures
Boss J, Rix A, Chen Y, Narisetty N, Wu Z, Ferguson K, McElrath T, Meeker J, Mukherjee B. A hierarchical integrative group least absolute shrinkage and selection operator for analyzing environmental mixtures. Environmetrics 2021, 32 PMID: 34899005, PMCID: PMC8664243, DOI: 10.1002/env.2698.Peer-Reviewed Original ResearchGroup least absolute shrinkageEnvironmental health studiesHealth outcomesHealth StudyLIFECODES birth cohortBirth cohortExposure interactionsPenalized regression methodsDose-response relationshipExposure mixturesComprehensive R Archive NetworkInteraction effectsInduce sparsityAdaptive weightsGroup lassoSelection operatorHeredity constraintLeast Absolute ShrinkageSelection frameworkNonlinear interaction effectsSample sizeVariable selectionJoint effectsCoefficient estimatesGroup structure
2018
Distributed Lag Interaction Models with Two Pollutants
Chen Y, Mukherjee B, Berrocal V. Distributed Lag Interaction Models with Two Pollutants. Journal Of The Royal Statistical Society Series C (Applied Statistics) 2018, 68: 79-97. PMID: 30636815, PMCID: PMC6328049, DOI: 10.1111/rssc.12297.Peer-Reviewed Original ResearchMean square errorEffects of air pollutionDistributed lag modelsAir pollution studiesHealth outcomesNational MorbidityBias-variance tradeoffEnvironmental epidemiologyAir pollutionPollution studiesPollutionLag effectMortality countsMain effectTensor productShrinkage methodShrinkage versionAverage performanceNatural waySimulation studyJoint effectsInteraction structureMortalityNMMAPSMorbidity
2017
Exposure 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
2016
Tests for Gene-Environment Interactions and Joint Effects With Exposure Misclassification
Boonstra P, Mukherjee B, Gruber S, Ahn J, Schmit S, Chatterjee N. Tests for Gene-Environment Interactions and Joint Effects With Exposure Misclassification. American Journal Of Epidemiology 2016, 183: 237-247. PMID: 26755675, PMCID: PMC4724093, DOI: 10.1093/aje/kwv198.Peer-Reviewed Original ResearchConceptsG-E interactionsPresence of exposure misclassificationExposure misclassificationImpact of exposure misclassificationGene-environment (G-EGene-environment interactionsGenome-wide levelGenome-wide searchGenome-wide testingGenetic susceptibility lociJoint testDisease-gene relationshipsGene-environmentGenetic risk factorsType I error rateFamily-wise type I error rateSusceptibility lociG-EGenetic associationRisk factorsStatistical powerJoint effectsSimulation studyMisclassificationPublished simulation studies
2014
The impact of exposure-biased sampling designs on detection of gene–environment interactions in case–control studies with potential exposure misclassification
Stenzel S, Ahn J, Boonstra P, Gruber S, Mukherjee B. The impact of exposure-biased sampling designs on detection of gene–environment interactions in case–control studies with potential exposure misclassification. European Journal Of Epidemiology 2014, 30: 413-423. PMID: 24894824, PMCID: PMC4256150, DOI: 10.1007/s10654-014-9908-1.Peer-Reviewed Original ResearchConceptsG-E interactionsExposure informationDetection of gene-environment interactionsPrevalence of exposureGene-environment interactionsSampling designCase-control studyRandom selection of subjectsPerformance of sampling designsCase-onlyExposure prevalenceJoint testExposure misclassificationCase-controlRare exposuresMarginal associationSelection of subjectsType I errorEmpirical simulation studyIdeal sampling schemesJoint effectsPrevalenceRandom selectionG-EMisclassification