2024
Leveraging Functional Annotations Improves Cross-Population Genetic Risk Prediction
Ye Y, Xu L, Zhao H. Leveraging Functional Annotations Improves Cross-Population Genetic Risk Prediction. ICSA Book Series In Statistics 2024, 453-471. DOI: 10.1007/978-3-031-50690-1_18.Peer-Reviewed Original ResearchPolygenic risk scoresFunctional annotationGenetic risk predictionStandard PRSPost-GWAS analysisPolygenic risk score modelCross-population predictionNon-European populationsGenetic resultsGenetic studiesRisk predictionCross populationsAnnoPredPRS methodsUK BiobankAnnotationRisk scoreTraits/diseasesLDpredPopulationP+TPoor transferBiobankBayesian framework
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