2019
Improving Genetic Association Analysis through Integration of Functional Annotations of the Human Genome
Lu Q, Zhao H. Improving Genetic Association Analysis through Integration of Functional Annotations of the Human Genome. 2019, 679-30. DOI: 10.1002/9781119487845.ch24.Peer-Reviewed Original ResearchGenome-wide association studiesFunctional annotationHuman genomeAssociation analysisAnnotation dataFunctional annotation dataPost-GWAS analysisSummary association statisticsGenetic association analysisGWAS findingsGWAS dataIntegrative analysisAssociation studiesComplex diseasesAssociation statisticsGenetic associationGenomeComputational methodsAnnotationTraitsDirect applicationStatistical powerMost diseasesInterpretable metricsTens of thousands
2017
Leveraging functional annotations in genetic risk prediction for human complex diseases
Hu Y, Lu Q, Powles R, Yao X, Yang C, Fang F, Xu X, Zhao H. Leveraging functional annotations in genetic risk prediction for human complex diseases. PLOS Computational Biology 2017, 13: e1005589. PMID: 28594818, PMCID: PMC5481142, DOI: 10.1371/journal.pcbi.1005589.Peer-Reviewed Original ResearchMeSH KeywordsChromosome MappingData Interpretation, StatisticalData MiningDatabases, GeneticEpigenomicsGenetic Association StudiesGenetic Predisposition to DiseaseGenetic VariationGenome, HumanHumansLinkage DisequilibriumPolymorphism, Single NucleotideProportional Hazards ModelsQuantitative Trait LociRisk AssessmentConceptsGenome-wide association studiesFunctional annotationGenetic risk predictionDisease-associated genetic variantsLinkage disequilibriumIdentification of thousandsWide association studyHuman complex diseasesComplex diseasesGWAS summary statisticsHuman genetics researchAssociation studiesAnnoPredGenotype dataGenetic researchGenetic variantsRelevant variantsAnnotationDisequilibriumMost diseasesDiverse typesSummary statisticsVariantsBayesian frameworkPrecision medicine