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
2019
Common genetic variants have associations with human cortical brain regions and risk of schizophrenia
Bi X, Feng L, Wang S, Lin Z, Li T, Zhao B, Zhu H, Zhang H. Common genetic variants have associations with human cortical brain regions and risk of schizophrenia. Genetic Epidemiology 2019, 43: 548-558. PMID: 30941828, PMCID: PMC6559856, DOI: 10.1002/gepi.22203.Peer-Reviewed Original ResearchConceptsCortical regionsCortical brain regionsRisk of schizophreniaPrefrontal cortical regionsSymptom durationProdromal symptomsMental disordersSignificant associationBrain regionsCommon genetic variantsPhiladelphia Neurodevelopmental CohortPediatric imagingSchizophreniaNeurodevelopmental CohortCommon variantsHuman brainGenetic variantsHeritable mental disorderMagnetic resonanceAssociationWide association studyAssociation studiesGenetic effectsCohortSymptoms
2015
Genes and environment in neonatal intraventricular hemorrhage
Ment LR, Ådén U, Bauer CR, Bada HS, Carlo WA, Kaiser JR, Lin A, Cotten CM, Murray J, Page G, Hallman M, Lifton RP, Zhang H, Network O. Genes and environment in neonatal intraventricular hemorrhage. Seminars In Perinatology 2015, 39: 592-603. PMID: 26516117, PMCID: PMC4668116, DOI: 10.1053/j.semperi.2015.09.006.Peer-Reviewed Original ResearchConceptsIntraventricular hemorrhagePreterm neonatesLow birth weight preterm neonatesSevere intraventricular hemorrhageWeight preterm neonatesNeonatal intraventricular hemorrhageCerebral blood flowBlood flowVascular pathwaysCandidate gene studiesGenetic factorsComplex disorderHemorrhageNeonatesAngiogenesisGene studiesGenome-wide association studies
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
2013
Gene–environment interactions in severe intraventricular hemorrhage of preterm neonates
Ment LR, Ådén U, Lin A, Kwon SH, Choi M, Hallman M, Lifton RP, Zhang H, Bauer CR. Gene–environment interactions in severe intraventricular hemorrhage of preterm neonates. Pediatric Research 2013, 75: 241-250. PMID: 24192699, PMCID: PMC3946468, DOI: 10.1038/pr.2013.195.Peer-Reviewed Original ResearchMeSH KeywordsAnimalsApgar ScoreBlood CoagulationCerebral VentriclesCerebrovascular CirculationCollagen Type IVFactor VGene-Environment InteractionGenetic Predisposition to DiseaseGenetic VariationGestational AgeHumansHypoxia, BrainInfantInfant, PrematureInflammation MediatorsIntracranial HemorrhagesMethylenetetrahydrofolate Reductase (NADPH2)PhenotypePremature BirthPrognosisRisk FactorsConceptsIntraventricular hemorrhageCerebral injuryPreterm neonatesFactor V Leiden geneRisk of IVHEnvironmental triggersSevere intraventricular hemorrhageCerebral blood flowMethylenetetrahydrofolate reductase (MTHFR) variantsUnknown environmental triggersPresence of mutationsPeriventricular infarctionApgar scorePerinatal hypoxiaPreclinical dataFetal environmentGerminal matrixCerebral vasculatureBlood flowT polymorphismGene-environment interactionsMTHFR 677CHemorrhageNeonatesVascular pathwaysRare SERINC2 variants are specific for alcohol dependence in individuals of European descent
Zuo L, Wang KS, Zhang XY, Li CS, Zhang F, Wang X, Chen W, Gao G, Zhang H, Krystal JH, Luo X. Rare SERINC2 variants are specific for alcohol dependence in individuals of European descent. Pharmacogenetics And Genomics 2013, 23: 395-402. PMID: 23778322, PMCID: PMC4287355, DOI: 10.1097/fpc.0b013e328362f9f2.Peer-Reviewed Original Research
2012
Simulating Realistic Genomic Data With Rare Variants
Xu Y, Wu Y, Song C, Zhang H. Simulating Realistic Genomic Data With Rare Variants. Genetic Epidemiology 2012, 37: 163-172. PMID: 23161487, PMCID: PMC3543480, DOI: 10.1002/gepi.21696.Peer-Reviewed Original ResearchRare ADH Variant Constellations are Specific for Alcohol Dependence
Zuo L, Zhang H, Malison RT, Li CS, Zhang XY, Wang F, Lu L, Lu L, Wang X, Krystal JH, Zhang F, Deng HW, Luo X. Rare ADH Variant Constellations are Specific for Alcohol Dependence. Alcohol And Alcoholism 2012, 48: 9-14. PMID: 23019235, PMCID: PMC3523382, DOI: 10.1093/alcalc/ags104.Peer-Reviewed Original Research
2011
Propensity 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 disorderRegionRegression 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
2001
Tree‐Based Linkage and Association Analyses of Asthma
Zhang H, Tsai C, Yu C, Bonney G. Tree‐Based Linkage and Association Analyses of Asthma. Genetic Epidemiology 2001, 21: s317-s322. PMID: 11793691, DOI: 10.1002/gepi.2001.21.s1.s317.Peer-Reviewed Original Research