2021
Testing gene–environment interactions in the presence of confounders and mismeasured environmental exposures
Cheng C, Spiegelman D, Wang Z, Wang M. Testing gene–environment interactions in the presence of confounders and mismeasured environmental exposures. G3: Genes, Genomes, Genetics 2021, 11: jkab236. PMID: 34568916, PMCID: PMC8473983, DOI: 10.1093/g3journal/jkab236.Peer-Reviewed Original ResearchMeSH KeywordsCohort StudiesComputer SimulationEnvironmental ExposureGene-Environment InteractionHumansModels, GeneticConceptsStandard logistic regression approachGreater statistical powerStatistical powerBinary disease outcomeComputational efficiencyIllustrative exampleComputation timeExtensive simulation experimentsMost simulation scenariosMeasurement errorRegression approachConsideration adjustmentsSimulation experimentsExposure measurement errorReverse testLogistic regression approachSimulation scenariosLinear discriminant analysisApproachReverse approachPowerErrorDiscriminant analysis
2018
A test for gene–environment interaction in the presence of measurement error in the environmental variable
Aschard H, Spiegelman D, Laville V, Kraft P, Wang M. A test for gene–environment interaction in the presence of measurement error in the environmental variable. Genetic Epidemiology 2018, 42: 250-264. PMID: 29424028, PMCID: PMC5851866, DOI: 10.1002/gepi.22113.Peer-Reviewed Original Research