2020
Social regulation of inflammation related gene expression in 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. Social regulation of inflammation related gene expression in the multi-ethnic study of atherosclerosis. Psychoneuroendocrinology 2020, 117: 104654. PMID: 32387875, PMCID: PMC7685527, DOI: 10.1016/j.psyneuen.2020.104654.Peer-Reviewed Original ResearchConceptsGene expressionMulti-Ethnic Study of AtherosclerosisGene set enrichment testGene Ontology databaseGene expression dataMulti-Ethnic StudyLifetime discriminationStudy of AtherosclerosisDifferential gene expressionInflammation-related genesExpression dataGene setsChronic burdenSocial factorsGene transcriptionRelated gene expressionOntology databaseGenesInflammatory responseTranscriptionGlobal analysisElastic net penalized regressionAdverse social factorsGlobal expressionExpression of inflammation-related genes
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
2017
Update on the State of the Science for Analytical Methods for Gene-Environment Interactions
Gauderman W, Mukherjee B, Aschard H, Hsu L, Lewinger J, Patel C, Witte J, Amos C, Tai C, Conti D, Torgerson D, Lee S, Chatterjee N. Update on the State of the Science for Analytical Methods for Gene-Environment Interactions. American Journal Of Epidemiology 2017, 186: 762-770. PMID: 28978192, PMCID: PMC5859988, DOI: 10.1093/aje/kwx228.Peer-Reviewed Original ResearchConceptsGenome-wide association studiesG x EGene-environment interactionsAssociation studiesAnalysis of gene-environment interactionsQuantitative trait studiesComplex traitsGenetic dataGene setsTrait studiesGene-environmentCase-controlEnvironmental dataConsortium settingFormation of consortiaGenesConsortiumAnalytical challengesTraitsSetsStudyInteractionStatistical approachData