2016
Integrative Tissue-Specific Functional Annotations in the Human Genome Provide Novel Insights on Many Complex Traits and Improve Signal Prioritization in Genome Wide Association Studies
Lu Q, Powles RL, Wang Q, He BJ, Zhao H. Integrative Tissue-Specific Functional Annotations in the Human Genome Provide Novel Insights on Many Complex Traits and Improve Signal Prioritization in Genome Wide Association Studies. PLOS Genetics 2016, 12: e1005947. PMID: 27058395, PMCID: PMC4825932, DOI: 10.1371/journal.pgen.1005947.Peer-Reviewed Original ResearchConceptsGenome-wide association studiesGWAS signalsComplex traitsFunctional annotationAssociation studiesHuman complex traitsFunctional regionsNon-coding regionsGWAS p-valuesWide association studyNovel biological insightsRelevant tissue typesEpigenetic annotationsGenomic functionsRegulatory machineryTransposable elementsHuman genomeGenoSkylineRisk lociBiological insightsIntegrative analysisGenetic studiesRegulatory miRNAPrioritization performanceSpecific annotations
2015
A Statistical Framework to Predict Functional Non-Coding Regions in the Human Genome Through Integrated Analysis of Annotation Data
Lu Q, Hu Y, Sun J, Cheng Y, Cheung KH, Zhao H. A Statistical Framework to Predict Functional Non-Coding Regions in the Human Genome Through Integrated Analysis of Annotation Data. Scientific Reports 2015, 5: 10576. PMID: 26015273, PMCID: PMC4444969, DOI: 10.1038/srep10576.Peer-Reviewed Original ResearchConceptsHuman genomeFunctional regionsStatistical frameworkAnnotation dataFunctional annotation dataWhole-genome annotationNon-coding regionsGenomic conservationHigh-throughput experimentsENCODE projectExperimental annotationsGenomeUnsupervised statistical learningFunctional potentialHuman geneticsStatistical learningComputational predictionsIntegrated analysisAnnotationAnnotation methodDiverse typesPowerful toolGeneticsMajor goalWeb server