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
2021
Exposure and risk factors for COVID-19 and the impact of staying home on Michigan residents
Wu K, Hornsby W, Klunder B, Krause A, Driscoll A, Kulka J, Bickett-Hickok R, Fellows A, Graham S, Kaleba E, Hayek S, Shi X, Sutton N, Douville N, Mukherjee B, Jamerson K, Brummett C, Willer C. Exposure and risk factors for COVID-19 and the impact of staying home on Michigan residents. PLOS ONE 2021, 16: e0246447. PMID: 33556117, PMCID: PMC7870003, DOI: 10.1371/journal.pone.0246447.Peer-Reviewed Original ResearchConceptsAfrican AmericansAnnual household income <Worsening health behaviorsLong-term health outcomesHousehold income <Low socioeconomic statusExposure to family membersHigher overall concernHigh riskExposure to familyHigh risk of contracting COVID-19Positive COVID-19 testLow-income groupsHealth behaviorsHealth outcomesRates of COVID-19 casesRental housingSocioeconomic statusClinical careRisk of contracting COVID-19COVID-19 preventionChronic diseasesInequality gapState of MichiganCOVID-19 cases
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
Environmental Risk Score as a New Tool to Examine Multi-Pollutants in Epidemiologic Research: An Example from the NHANES Study Using Serum Lipid Levels
Park S, Tao Y, Meeker J, Harlow S, Mukherjee B. Environmental Risk Score as a New Tool to Examine Multi-Pollutants in Epidemiologic Research: An Example from the NHANES Study Using Serum Lipid Levels. PLOS ONE 2014, 9: e98632. PMID: 24901996, PMCID: PMC4047033, DOI: 10.1371/journal.pone.0098632.Peer-Reviewed Original ResearchConceptsEnvironmental risk scoreLipid outcomesEpidemiological researchNational Health and Nutrition Examination SurveyHealth and Nutrition Examination SurveyRisk scoreNutrition Examination SurveyAdverse health responsesSocio-demographic factorsMulti-pollutant exposuresDevelopment of chronic diseasesBody mass indexExamination SurveySerum nutrient levelsMulti-pollutant approachSociodemographic factorsHealth responseChronic diseasesSingle-pollutantDisease riskMass indexEpidemiological studiesNHANES studyRisk predictionMulti-pollutants