2022
Body mass index associates with amyotrophic lateral sclerosis survival and metabolomic profiles
Goutman S, Boss J, Iyer G, Habra H, Savelieff M, Karnovsky A, Mukherjee B, Feldman E. Body mass index associates with amyotrophic lateral sclerosis survival and metabolomic profiles. Muscle & Nerve 2022, 67: 208-216. PMID: 36321729, PMCID: PMC9957813, DOI: 10.1002/mus.27744.Peer-Reviewed Original ResearchMeSH KeywordsAmyotrophic Lateral SclerosisBody Mass IndexHumansMetabolomicsPrognosisProspective StudiesConceptsBody mass indexBody mass index trajectoriesMetabolomic profilesAmyotrophic lateral sclerosis survivalAmyotrophic lateral sclerosisAmyotrophic lateral sclerosis participantsMass indexBody mass index lossBody mass index trajectory groupsSelf-reported body heightParticipants lost weightShorter survivalProspective cohortSurvival associationsStudy entryMetabolomic networksGeneralized estimating equationsSymptom onsetBMI trendsWeight lossSurvivalBile acidsBody heightTrajectory groupsPotential mechanisms
2021
Gestational Hormone Concentrations Are Associated With Timing of Delivery in a Fetal Sex-Dependent Manner
Cathey A, Watkins D, Rosario Z, Vega C, Mukherjee B, O’Neill M, Loch-Caruso R, Alshawabkeh A, Cordero J, Meeker J. Gestational Hormone Concentrations Are Associated With Timing of Delivery in a Fetal Sex-Dependent Manner. Frontiers In Endocrinology 2021, 12: 742145. PMID: 34603214, PMCID: PMC8479114, DOI: 10.3389/fendo.2021.742145.Peer-Reviewed Original ResearchConceptsTime of deliveryFetal sexBody mass indexGestational ageMaternal agePreterm premature rupture of membranesPre-pregnancy body mass indexHormone concentrationsFetal sex-specific effectsPremature rupture of membranesOverall preterm birthPreterm premature ruptureSpontaneous preterm laborRupture of membranesReduced gestational ageOdds of PTBTime of laborSignificant public health problemTobacco smoke exposureGestational hormonesSpontaneous PTBPreterm laborWeeks gestationPreterm birthLongitudinal birth cohortPerfluoroalkyl and polyfluoroalkyl substances and body size and composition trajectories in midlife women: the study of women’s health across the nation 1999–2018
Ding N, Karvonen-Gutierrez C, Herman W, Calafat A, Mukherjee B, Park S. Perfluoroalkyl and polyfluoroalkyl substances and body size and composition trajectories in midlife women: the study of women’s health across the nation 1999–2018. International Journal Of Obesity 2021, 45: 1937-1948. PMID: 33986457, PMCID: PMC8384652, DOI: 10.1038/s41366-021-00848-9.Peer-Reviewed Original ResearchConceptsWaist circumferenceMidlife womenFat massLowest tertileAssociated with greater body sizeStudy of women's healthResultsAfter multivariable adjustmentAssociated with accelerated increaseTrajectories of weightAssociated with weightSubjects/MethodsThis studyWomen's HealthObesity riskFollow-upDual-energy X-ray absorptiometryLinear mixed modelsHighest tertileX-ray absorptiometryGreater body sizeMultivariable adjustmentBody fatEpidemiological evidenceNo significant resultsBody compositionAverage follow-up
2019
Prediction and associations of preterm birth and its subtypes with eicosanoid enzymatic pathways and inflammatory markers
Aung M, Yu Y, Ferguson K, Cantonwine D, Zeng L, McElrath T, Pennathur S, Mukherjee B, Meeker J. Prediction and associations of preterm birth and its subtypes with eicosanoid enzymatic pathways and inflammatory markers. Scientific Reports 2019, 9: 17049. PMID: 31745121, PMCID: PMC6863859, DOI: 10.1038/s41598-019-53448-z.Peer-Reviewed Original ResearchConceptsSpontaneous preterm birthPreterm birthMultiple logistic regressionCross-sectional study of pregnant womenAssociation of preterm birthCases of preterm birthStudy of pregnant womenOverall preterm birthPreterm birth casesPreterm birth outcomesCytochrome P450 metabolitesLogistic regressionOxidative stress markersAberrant placentationCross-sectional studyDelivered termCytochrome P450 productPredictive biomarkersPregnant womenPretermEicosanoid metabolitesImmune biomarkersLipoxygenase metabolitesBirth casesResolvin D1
2017
Meta‐analysis of gene‐environment interaction exploiting gene‐environment independence across multiple case‐control studies
Estes J, Rice J, Li S, Stringham H, Boehnke M, Mukherjee B. Meta‐analysis of gene‐environment interaction exploiting gene‐environment independence across multiple case‐control studies. Statistics In Medicine 2017, 36: 3895-3909. PMID: 28744888, PMCID: PMC5624850, DOI: 10.1002/sim.7398.Peer-Reviewed Original ResearchMeSH KeywordsAge FactorsAlpha-Ketoglutarate-Dependent Dioxygenase FTOBayes TheoremBiasBiometryBody Mass IndexCase-Control StudiesComputer SimulationDiabetes Mellitus, Type 2Gene-Environment InteractionHumansLogistic ModelsMeta-Analysis as TopicModels, GeneticModels, StatisticalPolymorphism, Single NucleotideRetrospective StudiesConceptsGene-environment independenceGene-environmentEmpirical Bayes estimatorsGene-environment interactionsCase-control studyMeta-analysis settingBayes estimatorsRetrospective likelihood frameworkShrinkage estimatorsMeta-analysisTesting gene-environment interactionsCombination of estimatesFactors body mass indexSimulation studyBody mass indexUnconstrained modelLikelihood frameworkInverse varianceMeta-analysis frameworkFTO geneMass indexGenetic markersEstimationStandard alternativeChatterjee
2014
The Role of Environmental Heterogeneity in Meta‐Analysis of Gene–Environment Interactions With Quantitative Traits
Li S, Mukherjee B, Taylor J, Rice K, Wen X, Rice J, Stringham H, Boehnke M. The Role of Environmental Heterogeneity in Meta‐Analysis of Gene–Environment Interactions With Quantitative Traits. Genetic Epidemiology 2014, 38: 416-429. PMID: 24801060, PMCID: PMC4108593, DOI: 10.1002/gepi.21810.Peer-Reviewed Original ResearchMeSH KeywordsAlpha-Ketoglutarate-Dependent Dioxygenase FTOBiasBody Mass IndexCase-Control StudiesCholesterol, HDLCohort StudiesDiabetes Mellitus, Type 2Gene FrequencyGene-Environment InteractionGenetic Predisposition to DiseaseHumansMeta-Analysis as TopicModels, GeneticPhenotypePolymorphism, Single NucleotideProteinsQuantitative Trait, HeritableConceptsIndividual level dataMeta-analysisInverse-variance weighted meta-analysisEnvironmental heterogeneityGene-environment interaction studiesInverse-variance weighted estimatorMeta-analysis of interactionsStudy of type 2 diabetesGene-environment interactionsBody mass indexMeta-regression approachSingle nucleotide polymorphismsAdaptive weighted estimatorFTO geneType 2 diabetesMass indexMeta-regressionQuantitative traitsSummary statisticsCholesterol dataNucleotide polymorphismsLevel dataUnivariate summary statisticsData harmonizationEnvironmental covariates
2011
Sensitivity analysis for interactions under unmeasured confounding
VanderWeele T, Mukherjee B, Chen J. Sensitivity analysis for interactions under unmeasured confounding. Statistics In Medicine 2011, 31: 2552-2564. PMID: 21976358, PMCID: PMC4226658, DOI: 10.1002/sim.4354.Peer-Reviewed Original Research