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
TARV: Tree‐based Analysis of Rare Variants Identifying Risk Modifying Variants in CTNNA2 and CNTNAP2 for Alcohol Addiction
Song C, Zhang H. TARV: Tree‐based Analysis of Rare Variants Identifying Risk Modifying Variants in CTNNA2 and CNTNAP2 for Alcohol Addiction. Genetic Epidemiology 2014, 38: 552-559. PMID: 25041903, PMCID: PMC4154634, DOI: 10.1002/gepi.21843.Peer-Reviewed Original ResearchConceptsGenome-wide association studiesSequence kernel association testRare variant dataTree-based analysisRare variantsNext-generation sequencing technologiesVariant dataGeneration sequencing technologyKernel association testGene-gene interactionsSequencing technologiesMultiple genesAssociation studiesDisease modelsRisk genesCTNNA2Genetic variantsSAGE dataComplex disease modelsGenesStudy of AddictionComplex diseasesCommon variantsSpecific variantsRisk of alcoholism
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 ResearchNovel tree-based method to generate markers from rare variant data
Jiang Y, Brennan JS, Calixte R, He Y, Nyirabahizi E, Zhang H. Novel tree-based method to generate markers from rare variant data. BMC Proceedings 2011, 5: s102. PMID: 22373418, PMCID: PMC3287825, DOI: 10.1186/1753-6561-5-s9-s102.Peer-Reviewed Original ResearchRegression and data mining methods for analyses of multiple rare variants in the Genetic Analysis Workshop 17 mini‐exome data
Bailey‐Wilson J, Brennan JS, Bull SB, Culverhouse R, Kim Y, Jiang Y, Jung J, Li Q, Lamina C, Liu Y, Mägi R, Niu YS, Simpson CL, Wang L, Yilmaz YE, Zhang H, Zhang Z. Regression and data mining methods for analyses of multiple rare variants in the Genetic Analysis Workshop 17 mini‐exome data. Genetic Epidemiology 2011, 35: s92-s100. PMID: 22128066, PMCID: PMC3360949, DOI: 10.1002/gepi.20657.Peer-Reviewed Original ResearchConceptsData mining methodsUse of machineMachine learning methodsMining methodsLearning methodsNovel methodGenetic Analysis Workshop 17 mini-exome dataGenetic Analysis Workshop 17Extreme locus heterogeneityDNA sequence dataLocus-specific heritabilityMultiple rare variantsPopulation-specific analysesRare variantsIndividual rare variantsRare genetic variantsRare causal variantsSubset of predictorsLarge numberMultiple variantsComplex traitsMachineSequence dataCausal variantsCausal mutations