2024
LDER-GE estimates phenotypic variance component of gene–environment interactions in human complex traits accurately with GE interaction summary statistics and full LD information
Dong Z, Jiang W, Li H, DeWan A, Zhao H. LDER-GE estimates phenotypic variance component of gene–environment interactions in human complex traits accurately with GE interaction summary statistics and full LD information. Briefings In Bioinformatics 2024, 25: bbae335. PMID: 38980374, PMCID: PMC11232466, DOI: 10.1093/bib/bbae335.Peer-Reviewed Original ResearchConceptsHuman complex traitsComplex traitsGene-environment interactionsGene-environmentLinkage disequilibriumPhenotypic variance componentsPhenotypic varianceProportion of phenotypic varianceSummary statisticsEuropean ancestry subjectsUK Biobank dataAssociation summary statisticsComplete linkage disequilibriumControlled type I error ratesLD informationLD matrixVariance componentsBiobank dataType I error rateEuropean ancestrySample size increaseGenetic effectsTraitsE-I pairsSimulation studyA mediation analysis framework based on variance component to remove genetic confounding effect
Dong Z, Zhao H, DeWan A. A mediation analysis framework based on variance component to remove genetic confounding effect. Journal Of Human Genetics 2024, 69: 301-309. PMID: 38528049, DOI: 10.1038/s10038-024-01232-x.Peer-Reviewed Original ResearchMediation analysis frameworkSingle nucleotide polymorphismsMediation analysisPleiotropic single nucleotide polymorphismsUK Biobank dataConfounding effectsTrait pairsBiobank dataIndividual-levelEpidemiological studiesCausal effectsGenetic signalsEstimated effectsLinear regressionNucleotide polymorphismsStandard errorData analysisGenetic correlationsPhenotypeIndirect effectsPleiotropyVariance componentsOutcomesRegression
2023
Digital biobanks are underutilized in dermatology and create opportunities to reduce the burden of skin disease
Jumonville G, Hong D, Khan A, DeWan A, Leal S, Weng C, Petukhova L. Digital biobanks are underutilized in dermatology and create opportunities to reduce the burden of skin disease. British Journal Of Dermatology 2023, 190: 566-568. PMID: 37936310, PMCID: PMC10941321, DOI: 10.1093/bjd/ljad439.Peer-Reviewed Original ResearchConceptsBurden of skin diseaseGenetic architectureDiscover genesGenetic dataGene-environment interactionsClinical areasBiobank dataHealth dataMedical careDisease mechanismsGlobal burdenDisease relationshipsMedical interventionsDrug repurposingPharmacogenetic relationshipBiobankSkin diseasesGlobal burden of skin diseaseGenesKnowledge promisesAdverse eventsCareDermatologyHealthDiseaseVariants in JAZF1 are associated with asthma, type 2 diabetes, and height in the United Kingdom biobank population
DeWan A, Cahill M, Cornejo-Sanchez D, Li Y, Dong Z, Fabiha T, Sun H, Wang G, Leal S. Variants in JAZF1 are associated with asthma, type 2 diabetes, and height in the United Kingdom biobank population. Frontiers In Genetics 2023, 14: 1129389. PMID: 37377600, PMCID: PMC10291233, DOI: 10.3389/fgene.2023.1129389.Peer-Reviewed Original ResearchComplex traitsGenome-wide significant variantsFine-mapping analysisGenomic regionsMajor genetic componentAssociation analysisSusceptibility variantsGenetic componentSignificant variantsGenetic variantsSuggestive associationTraitsPhenotypeVariantsBiobank dataGenesNon-overlapping regionsRegionJAZF1Univariate association analysisType 2 diabetes