2025
Knockoff procedure improves susceptibility gene identifications in conditional transcriptome-wide association studies
Zhang X, Wang L, Zhao J, Zhao H. Knockoff procedure improves susceptibility gene identifications in conditional transcriptome-wide association studies. American Journal Of Human Genetics 2025 PMID: 40902598, PMCID: PMC12412983, DOI: 10.1016/j.ajhg.2025.08.007.Peer-Reviewed Original ResearchTranscriptome-wide association studyExpression quantitative trait lociGenome-wide association studiesGene-trait pairsFalse discovery rateAssociation studiesTranscriptome-wide association study approachTranscriptome-wide association study methodExpression quantitative trait loci dataGenes associated with complex traitsGenetic variantsGenome-wide association study summary statisticsSusceptibility genesGene-trait associationsSusceptibility gene identificationQuantitative trait lociParametric bootstrap samplingGene expression levelsGenomic regionsGenetic elementsComplex traitsGene identificationTrait lociFalse discovery rate levelKnockoff procedure
2019
A statistical framework for cross-tissue transcriptome-wide association analysis
Hu Y, Li M, Lu Q, Weng H, Wang J, Zekavat SM, Yu Z, Li B, Gu J, Muchnik S, Shi Y, Kunkle BW, Mukherjee S, Natarajan P, Naj A, Kuzma A, Zhao Y, Crane PK, Lu H, Zhao H. A statistical framework for cross-tissue transcriptome-wide association analysis. Nature Genetics 2019, 51: 568-576. PMID: 30804563, PMCID: PMC6788740, DOI: 10.1038/s41588-019-0345-7.Peer-Reviewed Original ResearchConceptsTranscriptome-wide association analysisAssociation analysisGene-trait associationsGene expression dataGene expression levelsGenetic architectureComplex traitsMore genesGene expressionSingle tissueExpression dataAssociation resultsExpression levelsPowerful approachImputation modelHuman tissuesImputation accuracyGenotypesStatistical frameworkTissueGenesKey componentTraitsPowerful metricExpression
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