2025
Empowering genome-wide association studies via a visualizable test based on the regional association score
Jiang Y, Zhang H. Empowering genome-wide association studies via a visualizable test based on the regional association score. Proceedings Of The National Academy Of Sciences Of The United States Of America 2025, 122: e2419721122. PMID: 39999171, PMCID: PMC11892588, DOI: 10.1073/pnas.2419721122.Peer-Reviewed Original Research
2024
AN INTEGRATIVE NETWORK-BASED MEDIATION MODEL (NMM) TO ESTIMATE MULTIPLE GENETIC EFFECTS ON OUTCOMES MEDIATED BY FUNCTIONAL CONNECTIVITY.
Dai W, Zhang H. AN INTEGRATIVE NETWORK-BASED MEDIATION MODEL (NMM) TO ESTIMATE MULTIPLE GENETIC EFFECTS ON OUTCOMES MEDIATED BY FUNCTIONAL CONNECTIVITY. The Annals Of Applied Statistics 2024, 18: 2277-2294. PMID: 39640845, PMCID: PMC11616023, DOI: 10.1214/24-aoas1880.Peer-Reviewed Original ResearchGenetic variantsFunctional connectivityEffects of multiple genetic variantsMediation modelBehavioral outcomesEffects of genetic variantsMultiple genetic variantsCumulative genetic effectsFluid intelligenceUnivariate mediatorImpact of geneticsCognitive behaviorVisual networkGenetic effectsNeural circuitsNetwork mediatorsFunctional networksYoung adultsVariantsVariant Selection and Aggregation of Genetic Association Studies in Precision Medicine
Hu J, Wang S, Zhang H. Variant Selection and Aggregation of Genetic Association Studies in Precision Medicine. ICSA Book Series In Statistics 2024, 423-451. DOI: 10.1007/978-3-031-50690-1_17.Peer-Reviewed Original ResearchAssociation studiesGenetic association studiesPrecision medicineTests of associationHeterogeneous drug responsesDisease risk predictionVariant identificationSignal variantsControl of type I errorDisease riskDrug responseGenomic profilingType I errorRisk predictionGenetic biomarkersVariantsPharmaceutical interventionsMarginal testsAssociation methodAssociationMedicineInterventionIdentificationReplicationDisease
2020
Supervariants identification for breast cancer
Hu J, Li T, Wang S, Zhang H. Supervariants identification for breast cancer. Genetic Epidemiology 2020, 44: 934-947. PMID: 32808324, PMCID: PMC7924970, DOI: 10.1002/gepi.22350.Peer-Reviewed Original ResearchConceptsGenome-wide association studiesCombination of allelesRare variantsNovel lociChromosome 2UK Biobank databaseChromosome 1Multiple lociAssociation studiesLociComplex diseasesGenesBiobank databaseAssociation methodGenomeVariantsTens of thousandsAllelesPolymorphismNovel resultsSignalsClassic conceptIdentification
2014
Identifying Genetic Variants for Addiction via Propensity Score Adjusted Generalized Kendall’s Tau
Jiang Y, Li N, Zhang H. Identifying Genetic Variants for Addiction via Propensity Score Adjusted Generalized Kendall’s Tau. Journal Of The American Statistical Association 2014, 109: 905-930. PMID: 25382885, PMCID: PMC4219655, DOI: 10.1080/01621459.2014.901223.Peer-Reviewed Original ResearchGenome-wide association studiesGenetic variantsU-statisticsU-statistic methodNovel genetic variantsGWAS analysisPhenotype-genotype associationsEnvironmental factorsReplicable genetic variantsAssociation studiesSemiparametric methodAssociation analysisStatistical methodsStudy of AddictionParametric methodsGene-environment interactionsParametric estimatesInverse probability weightingSimulation resultsProbability weightingNull hypothesisVariantsKendall's tauGeneticsTraits
2013
NCK2 Is Significantly Associated with Opiates Addiction in African‐Origin Men
Liu Z, Guo X, Jiang Y, Zhang H. NCK2 Is Significantly Associated with Opiates Addiction in African‐Origin Men. The Scientific World JOURNAL 2013, 2013: 748979. PMID: 23533358, PMCID: PMC3603435, DOI: 10.1155/2013/748979.Peer-Reviewed Original ResearchConceptsSingle nucleotide polymorphismsNCK2 geneGenome-wide significant associationGenome-wide significant levelWide association studyGene-based methodsNumerous genetic variantsGWAS discoveryChromosome 2Association studiesNck2Genetic variantsGenesNucleotide polymorphismsComplex diseasesFirst evidenceGenetic disordersDiscoverySignificant levelsPolymorphismVariantsSubstantial effort
2012
Large Scale Association Analysis for Drug Addiction: Results from SNP to Gene
Guo X, Liu Z, Wang X, Zhang H. Large Scale Association Analysis for Drug Addiction: Results from SNP to Gene. The Scientific World JOURNAL 2012, 2012: 939584. PMID: 23365539, PMCID: PMC3543790, DOI: 10.1100/2012/939584.Peer-Reviewed Original ResearchConceptsGenome-wide association studiesAssociation studiesAssociation analysisGene-based association analysisLarge-scale association analysisSingle nucleotide polymorphism dataWide association studyComplex diseasesGene-based analysisGene-based methodsNucleotide polymorphism dataGenetic association studiesPolymorphism dataGene findingGenetic variantsIndividual SNPsStudy of AddictionSNPsGenetic etiologyGenesComprehensive analysisGeneticsVariants
2011
A LASSO-based approach to analyzing rare variants in genetic association studies
Brennan JS, He Y, Calixte R, Nyirabahizi E, Jiang Y, Zhang H. A LASSO-based approach to analyzing rare variants in genetic association studies. BMC Proceedings 2011, 5: s100. PMID: 22373373, PMCID: PMC3287823, DOI: 10.1186/1753-6561-5-s9-s100.Peer-Reviewed Original ResearchPropensity score‐based nonparametric test revealing genetic variants underlying bipolar disorder
Jiang Y, Zhang H. Propensity score‐based nonparametric test revealing genetic variants underlying bipolar disorder. Genetic Epidemiology 2011, 35: 125-132. PMID: 21254220, PMCID: PMC3077545, DOI: 10.1002/gepi.20558.Peer-Reviewed Original ResearchConceptsSingle nucleotide polymorphismsGenetic variantsWellcome Trust Case Control ConsortiumRPGRIP1L geneGenetic studiesAssociation analysisHaplotype blocksChromosome 16Nucleotide polymorphismsComplex diseasesGenesComplex disorderStrong signalUnreported regionsVariantsImportant roleStrong evidencePolymorphismBipolar disorderRegion
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