2019
Expression of socially sensitive genes: The multi-ethnic study of atherosclerosis
Brown K, Diez-Roux A, Smith J, Needham B, Mukherjee B, Ware E, Liu Y, Cole S, Seeman T, Kardia S. Expression of socially sensitive genes: The multi-ethnic study of atherosclerosis. PLOS ONE 2019, 14: e0214061. PMID: 30973896, PMCID: PMC6459532, DOI: 10.1371/journal.pone.0214061.Peer-Reviewed Original ResearchConceptsGene expressionSocial factorsAdult socioeconomic statusPopulation-based cohortMulti-Ethnic StudyMarginal significant associationPercentage of genesInfluence gene expressionLinear regressionExpression of genesLifetime discriminationSocioeconomic statusChronic burdenOverall healthInvestigate associationsGene approachGene setsLinear regression analysisSignificant associationGenesExpression patternsMultiple testingSensitive to social factorsCell typesRegression analysis
2015
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
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
Latent variable models for gene–environment interactions in longitudinal studies with multiple correlated exposures
Tao Y, Sánchez B, Mukherjee B. Latent variable models for gene–environment interactions in longitudinal studies with multiple correlated exposures. Statistics In Medicine 2014, 34: 1227-1241. PMID: 25545894, PMCID: PMC4355187, DOI: 10.1002/sim.6401.Peer-Reviewed Original ResearchMeSH KeywordsBiostatisticsChild, PreschoolComputer SimulationEnvironmental ExposureFemaleGene-Environment InteractionHemochromatosis ProteinHistocompatibility Antigens Class IHumansInfantInfant, NewbornLead PoisoningLongitudinal StudiesMembrane ProteinsMexicoModels, GeneticModels, StatisticalPolymorphism, Single NucleotidePregnancyPrenatal Exposure Delayed EffectsConceptsGene-environment interactionsOutcome measuresCohort studyHealth effects of environmental exposuresEnvironmental exposuresInvestigate health effectsGene-environment associationsEffects of environmental exposuresEarly life exposuresLV frameworkG x E effectsMultivariate exposuresGenotyped single nucleotide polymorphismsEffect modificationShrinkage estimatorsLife exposureExposure measurementsSingle nucleotide polymorphismsData-adaptive wayMultiple testingOutcome dataLongitudinal studyLongitudinal natureGenetic factorsNucleotide polymorphisms
2011
A Latent Variable Approach to Study Gene–Environment Interactions in the Presence of Multiple Correlated Exposures
Sánchez B, Kang S, Mukherjee B. A Latent Variable Approach to Study Gene–Environment Interactions in the Presence of Multiple Correlated Exposures. Biometrics 2011, 68: 466-476. PMID: 21955029, PMCID: PMC4405908, DOI: 10.1111/j.1541-0420.2011.01677.x.Peer-Reviewed Original ResearchMeSH KeywordsAnalysis of VarianceBiasBiometryBirth WeightCase-Control StudiesComputer SimulationEnvironmental ExposureEpidemiologic FactorsFemaleGene-Environment InteractionHumansInfant, NewbornIronLead PoisoningModels, StatisticalPregnancyPrenatal Exposure Delayed EffectsPrincipal Component AnalysisConceptsGene-environment interactionsGene-environmentEnvironmental epidemiologyCohort studyGene-environment dependenceBurden of multiple testingStudy gene-environment interactionsEnvironmental exposuresExposure dataEarly life exposuresLV frameworkG x E effectsHealth StudyCorrelated exposuresG x EDisease riskLife exposureMultiple testingFunction of environmental exposureE studyGenotype categoriesStudy of lead exposureBirth weightIron metabolism genesAdaptive trade-off