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
2012
Genetic Association Test for Multiple Traits at Gene Level
Guo X, Liu Z, Wang X, Zhang H. Genetic Association Test for Multiple Traits at Gene Level. Genetic Epidemiology 2012, 37: 122-129. PMID: 23032486, PMCID: PMC3524409, DOI: 10.1002/gepi.21688.Peer-Reviewed Original ResearchConceptsGenome-wide association studiesMultiple traitsGene levelSingle nucleotide polymorphismsGenetic association testsCommon genesAssociation studiesAssociation TestNucleotide polymorphismsTraitsStudy of AddictionComplex diseasesBiological mechanismsDisease of interestAssociation informationGenesGeneticsSuch studiesStrong evidencePolymorphismPrevious findingsLevels
2009
Detecting significant single-nucleotide polymorphisms in a rheumatoid arthritis study using random forests
Wang M, Chen X, Zhang M, Zhu W, Cho K, Zhang H. Detecting significant single-nucleotide polymorphisms in a rheumatoid arthritis study using random forests. BMC Proceedings 2009, 3: s69. PMID: 20018063, PMCID: PMC2795970, DOI: 10.1186/1753-6561-3-s7-s69.Peer-Reviewed Original ResearchSignificant single nucleotide polymorphismsGenome-wide dataGenetic Analysis Workshop 16 Problem 1 dataGenes/SNPsSNP markersSignificant SNPsSingle nucleotide polymorphismsGenetic association studiesWhole genomeChromosome 6Association studiesRheumatoid arthritis statusAntigen geneTraitsSNPsForestHLA-DRAArray experimentsGenomeMarkersHuman leukocyte antigen (HLA) genesGenesFurther analysisIndividual markersHigh levelsA genome-wide association analysis of Framingham Heart Study longitudinal data using multivariate adaptive splines
Zhu W, Cho K, Chen X, Zhang M, Wang M, Zhang H. A genome-wide association analysis of Framingham Heart Study longitudinal data using multivariate adaptive splines. BMC Proceedings 2009, 3: s119. PMID: 20017984, PMCID: PMC2795891, DOI: 10.1186/1753-6561-3-s7-s119.Peer-Reviewed Original ResearchTraits of interestGenome-wide analysisGenome-wide association studiesWide association analysisGenome-wide dataMultivariate adaptive splinesAssociation studiesAssociation analysisGene-environment interactionsTraitsLongitudinal phenotypesGene-environment interaction effectsMasalFramingham Heart StudyPermutation testGenesPhenotype
2008
LOT: a tool for linkage analysis of ordinal traits for pedigree data
Zhang M, Feng R, Chen X, Hu B, Zhang H. LOT: a tool for linkage analysis of ordinal traits for pedigree data. Bioinformatics 2008, 24: 1737-1739. PMID: 18535081, PMCID: PMC2566542, DOI: 10.1093/bioinformatics/btn258.Peer-Reviewed Original Research
2007
A genomic imprinting test for ordinal traits in pedigree data
Feng R, Zhang H. A genomic imprinting test for ordinal traits in pedigree data. Genetic Epidemiology 2007, 32: 132-142. PMID: 17922481, DOI: 10.1002/gepi.20270.Peer-Reviewed Original ResearchConceptsComplex genetic basisOrdinal traitsIdentical nucleotide sequencesGenomic imprintingNumerous common diseasesNovel lociNucleotide sequenceComplex inheritanceGenetic basisChromosome 3Non-genetic covariatesHuman disordersLinkage analysisHuman diseasesGenetics of AlcoholismChromosome 18Continuous traitsTraitsPedigree dataBinary traitsOrigin effectsImprinting testLociStrong signalImprinting
2006
Detection of Genes for Ordinal Traits in Nuclear Families and a Unified Approach for Association Studies
Zhang H, Wang X, Ye Y. Detection of Genes for Ordinal Traits in Nuclear Families and a Unified Approach for Association Studies. Genetics 2006, 172: 693-699. PMID: 16219774, PMCID: PMC1456175, DOI: 10.1534/genetics.105.049122.Peer-Reviewed Original ResearchConceptsSingle nucleotide polymorphismsQuantitative traitsOrdinal traitsTraditional linkage studiesGenomewide association analysisAssociation of genesDetection of genesGametic disequilibriumLoci existAssociation studiesAssociation analysisGenesLinkage disequilibriumTraitsComplex diseasesLinkage studiesGrowth-associated protein 43Protein 43DisequilibriumPolymorphismFamilyMarkersNuclear families
2004
Linkage analysis of ordinal traits for pedigree data
Feng R, Leckman JF, Zhang H. Linkage analysis of ordinal traits for pedigree data. Proceedings Of The National Academy Of Sciences Of The United States Of America 2004, 101: 16739-16744. PMID: 15548606, PMCID: PMC534720, DOI: 10.1073/pnas.0404623101.Peer-Reviewed Original ResearchConceptsLinkage analysisOrdinal traitsTourette Syndrome Association International ConsortiumLinkage analysis methodsQuantitative traitsEvidence of linkageGenome scanLinkage scanHuman diseasesAllele sharingTraitsPedigree dataInheritance patternDichotomous traitsSignificant allele sharingPhenotypeProportional odds logistic modelGENEHUNTERGenesGeneticsMarkersInternational Consortium
1997
Strategies to Identify Genes for Complex Diseases
Zhang H, Zhao H, Merikangas K. Strategies to Identify Genes for Complex Diseases. Annals Of Medicine 1997, 29: 493-498. PMID: 9562515, DOI: 10.3109/07853899709007473.Peer-Reviewed Original ResearchConceptsComplex diseasesNumerous human diseasesDisease-susceptible genesComplex human disordersHuman genomeGenetic basisHuman disordersHuman diseasesMolecular biologyGenesGenetic epidemiological studiesGenetic factorsComplex patternsDisease pathophysiologyGenomeBiologyTraitsInheritanceMultiple sclerosisBreast cancerEpidemiological studies