2025
JointPRS: A data-adaptive framework for multi-population genetic risk prediction incorporating genetic correlation
Xu L, Zhou G, Jiang W, Zhang H, Dong Y, Guan L, Zhao H. JointPRS: A data-adaptive framework for multi-population genetic risk prediction incorporating genetic correlation. Nature Communications 2025, 16: 3841. PMID: 40268942, PMCID: PMC12019179, DOI: 10.1038/s41467-025-59243-x.Peer-Reviewed Original ResearchConceptsGenome-wide association studiesGenetic risk predictionUK BiobankGenome-wide association study summary statisticsAdmixed American populationsRisk predictionGenetic correlationsNon-European populationsContinental populationsAssociation studiesReal-data applicationBinary traitsTrait predictionSummary statisticsMultiple populationsAmerican populationData-adaptive approachSample sizeData applicationsAOUPopulationBiobankData scenarioTraits
2023
Statistical assessment of biomarker replicability using MAJAR method
Xie Y, Zhai S, Jiang W, Zhao H, Mehrotra D, Shen J. Statistical assessment of biomarker replicability using MAJAR method. Statistical Methods In Medical Research 2023, 32: 1961-1972. PMID: 37519295, DOI: 10.1177/09622802231188519.Peer-Reviewed Original ResearchConceptsBayesian false discovery rateDifferent data generation processesNovel statistical frameworkExtensive simulation studyExpectation-maximization algorithmStatistical frameworkComputational efficiencyGWAS summary statistics dataSimulation studyData generation processStatistical assessmentSimulation resultsStatistical powerFalse discovery rateResponse predictionSummary statistics dataDiscovery rateSample sizeLimited powerOutliersAlgorithmGeneration processRobustnessPowerSmall sample size
2019
Sparse principal component analysis with missing observations
Park S, Zhao H. Sparse principal component analysis with missing observations. The Annals Of Applied Statistics 2019, 13: 1016-1042. DOI: 10.1214/18-aoas1220.Peer-Reviewed Original ResearchHigh-dimensional settingsPrincipal subspaceStep estimation procedureRate of convergenceSparse principal component analysisDimensional settingSimulated examplesMissing observationsStatistical methodsEstimation procedureSparse PCA methodsSingle-cell dataSubspacePCA methodSingle-cell RNA-sequencing dataNumber of featuresCompetitive performancePrincipal component analysisConvergenceSample sizeEstimationWide rangeComponent analysis
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