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
2009
More is better: the uses of developmental genetic data to reconstruct perianth evolution
Hileman LC, Irish VF. More is better: the uses of developmental genetic data to reconstruct perianth evolution. American Journal Of Botany 2009, 96: 83-95. PMID: 21628177, DOI: 10.3732/ajb.0800066.Peer-Reviewed Original ResearchDevelopmental genetic dataGenetic dataPerianth evolutionState reconstructionCharacter state reconstructionAncestral state reconstructionAngiosperm cladesAngiosperm evolutionExtant speciesEvolutionary historyPhylogenetic reconstructionDifferentiated perianthMorphological dataCharacter statesExpression dataDistinct organsMaximum likelihood frameworkPerianthNew insightsFunctional dataMultiple linesLikelihood frameworkAngiospermsCladeSepals
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