2015
An analysis of moderators in the COMBINE study: Identifying subgroups of patients who benefit from acamprosate
Gueorguieva R, Wu R, Tsai WM, O’Connor P, Fucito L, Zhang H, O’Malley S. An analysis of moderators in the COMBINE study: Identifying subgroups of patients who benefit from acamprosate. European Neuropsychopharmacology 2015, 25: 1586-1599. PMID: 26141511, PMCID: PMC4600651, DOI: 10.1016/j.euroneuro.2015.06.006.Peer-Reviewed Original ResearchConceptsAcamprosate effectHeavy drinkingShort abstinenceEnhanced treatment responseMonths of treatmentSubgroup of patientsBody mass indexDrug plasma levelsIdentification of subgroupsBetter prognosisLower BMIMass indexPlasma levelsGlutamatergic hyperactivityTreatment responseAcamprosateCOMBINE StudyPrior treatmentLarger studyConsecutive daysAbstinencePretreatment abstinenceTreatment effectsCognitive inefficiencySubgroupsSubgroup Identification in Personalized Treatment of Alcohol Dependence
Hou J, Seneviratne C, Su X, Taylor J, Johnson B, Wang XQ, Zhang H, Kranzler HR, Kang J, Liu L. Subgroup Identification in Personalized Treatment of Alcohol Dependence. Alcohol Clinical And Experimental Research 2015, 39: 1253-1259. PMID: 26031187, PMCID: PMC4491003, DOI: 10.1111/acer.12759.Peer-Reviewed Original Research
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
Sex chromosome-wide association analysis suggested male-specific risk genes for alcohol dependence
Zuo L, Wang K, Zhang X, Pan X, Wang G, Krystal JH, Zhang H, Luo X. Sex chromosome-wide association analysis suggested male-specific risk genes for alcohol dependence. Psychiatric Genetics 2013, 23: 233-238. PMID: 23907288, PMCID: PMC3941913, DOI: 10.1097/ypg.0b013e328364b8c7.Peer-Reviewed Original ResearchCommon PTP4A1‐PHF3‐EYS variants are specific for alcohol dependence
Zuo L, Wang K, Wang G, Pan X, Zhang X, Zhang H, Luo X. Common PTP4A1‐PHF3‐EYS variants are specific for alcohol dependence. American Journal On Addictions 2013, 23: 411-414. PMID: 24961364, PMCID: PMC4111256, DOI: 10.1111/j.1521-0391.2013.12115.x.Peer-Reviewed Original ResearchRare 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 ResearchNKAIN1–SERINC2 is a functional, replicable and genome-wide significant risk gene region specific for alcohol dependence in subjects of European descent
Zuo L, Wang K, Zhang XY, Krystal JH, Li CS, Zhang F, Zhang H, Luo X. NKAIN1–SERINC2 is a functional, replicable and genome-wide significant risk gene region specific for alcohol dependence in subjects of European descent. Drug And Alcohol Dependence 2013, 129: 254-264. PMID: 23455491, PMCID: PMC3628730, DOI: 10.1016/j.drugalcdep.2013.02.006.Peer-Reviewed Original ResearchConceptsGenome-wide association studiesExpression quantitative loci (eQTL) analysisGene regionMetabolic pathwaysQuantitative loci analysisSNP-expression associationsCis-acting regulatory effectsDiscovery sampleSNP-disease associationsNumerous genesReplication sampleLocus analysisAssociation studiesAssociation analysisRisk SNPsTranscript expressionSNPsRegulatory effectsGenesPathwayEuropean descentExpression
2012
Genome‐Wide Significant Association Signals in IPO11‐HTR1A Region Specific for Alcohol and Nicotine Codependence
Zuo L, Zhang X, Wang F, Li C, Lu L, Ye L, Zhang H, Krystal JH, Deng H, Luo X. Genome‐Wide Significant Association Signals in IPO11‐HTR1A Region Specific for Alcohol and Nicotine Codependence. Alcohol Clinical And Experimental Research 2012, 37: 730-739. PMID: 23216389, PMCID: PMC3610804, DOI: 10.1111/acer.12032.Peer-Reviewed Original ResearchMeSH KeywordsAdultAlcoholismBeta KaryopherinsBlack or African AmericanCase-Control StudiesChromosomes, Human, Pair 5FemaleGenetic Predisposition to DiseaseGenome-Wide Association StudyGenotypeHumansMaleMiddle AgedPolymorphism, Single NucleotideQuantitative Trait LociReceptor, Serotonin, 5-HT1ATobacco Use DisorderWhite PeopleConceptsGenome-wide significance levelSingle nucleotide polymorphismsReplication cohortDiscovery cohortAlcohol dependenceExpression quantitative loci (eQTL) analysisPeripheral blood mononuclear cell samplesNeuropsychiatric disordersWide significant association signalsMononuclear cell samplesGenome-wide association studiesQuantitative loci analysisGene-disease association analysisCis-eQTL analysisTop single nucleotide polymorphismsCis-acting regulatory effectsSignificant association signalsBrain tissue samplesAmerican controlsEuropean American controlsRisk single nucleotide polymorphismsAfrican-American controlsSevere subtypeGenomic regionsAfrican American casesGenetic 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 findingsLevelsRare 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 ResearchGenome‐wide search for replicable risk gene regions in alcohol and nicotine co‐dependence
Zuo L, Zhang F, Zhang H, Zhang X, Wang F, Li C, Lu L, Hong J, Lu L, Krystal J, Deng H, Luo X. Genome‐wide search for replicable risk gene regions in alcohol and nicotine co‐dependence. American Journal Of Medical Genetics Part B Neuropsychiatric Genetics 2012, 159B: 437-444. PMID: 22488850, PMCID: PMC3405545, DOI: 10.1002/ajmg.b.32047.Peer-Reviewed Original ResearchConceptsChromosome 3Genome-wide false discovery rateGene regionFalse discovery rateGenome-wide association analysisExpression quantitative trait loci (eQTL) analysisQuantitative trait locus (QTL) analysisRisk SNPsTranscript expressionGenome-wide association strategyGenome-wide searchCombined P valueSNP-disease associationsAssociation peakGenomic regionsEQTL analysisEuropean American casesCausal lociLocus analysisGene expressionAssociation analysisGenesSNPsRegulatory effectsDiscovery rate
2011
A Novel, Functional and Replicable Risk Gene Region for Alcohol Dependence Identified by Genome-Wide Association Study
Zuo L, Zhang CK, Wang F, Li CS, Zhao H, Lu L, Zhang XY, Lu L, Zhang H, Zhang F, Krystal JH, Luo X. A Novel, Functional and Replicable Risk Gene Region for Alcohol Dependence Identified by Genome-Wide Association Study. PLOS ONE 2011, 6: e26726. PMID: 22096494, PMCID: PMC3210123, DOI: 10.1371/journal.pone.0026726.Peer-Reviewed Original Research
2009
Longitudinal association of alcohol use with HIV disease progression and psychological health of women with HIV
Ghebremichael M, Paintsil E, Ickovics JR, Vlahov D, Schuman P, Boland R, Schoenbaum E, Moore J, Zhang H. Longitudinal association of alcohol use with HIV disease progression and psychological health of women with HIV. AIDS Care 2009, 21: 834-841. PMID: 20024739, PMCID: PMC3292857, DOI: 10.1080/09540120802537864.Peer-Reviewed Original ResearchConceptsHIV disease progressionT-cell countsDisease progressionAlcohol consumptionAlcohol useMedical record extractionAntiretroviral therapy useHealth of womenAlcohol use assessmentTherapy useCell count determinationPhysical examinationT cellsAlcohol use interventionsART useDepression symptomsHIVSignificant associationCD4Longitudinal associationsStatistical significanceWomenDepressionProgressionUse interventionsThe familial aggregation of cannabis use disorders
Merikangas KR, Li JJ, Stipelman B, Yu K, Fucito L, Swendsen J, Zhang H. The familial aggregation of cannabis use disorders. Addiction 2009, 104: 622-629. PMID: 19335660, PMCID: PMC2794246, DOI: 10.1111/j.1360-0443.2008.02468.x.Peer-Reviewed Original ResearchConceptsSpouses of probandsFirst-degree relativesCannabis use disorderLife-time historyUse disordersAnxiety disordersAlcohol abuse/dependenceFamilial aggregationAbuse/dependenceFirst-degree adult relativesComorbid moodElevated riskFamily-based approachPsychiatric clinicAffective disordersAlcohol dependencePsychiatric conditionsFamily study methodDrug abuseFamilial factorsDisordersAdult relativesCannabisFamilial transmissionGenetic factors
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 signalImprintingA score test for linkage analysis of ordinal traits based on IBD sharing
Feng R, Zhang H. A score test for linkage analysis of ordinal traits based on IBD sharing. Biostatistics 2007, 9: 114-127. PMID: 17519391, DOI: 10.1093/biostatistics/kxm016.Peer-Reviewed Original Research
2006
Family‐based association tests for ordinal traits adjusting for covariates
Wang X, Ye Y, Zhang H. Family‐based association tests for ordinal traits adjusting for covariates. Genetic Epidemiology 2006, 30: 728-736. PMID: 17086513, DOI: 10.1002/gepi.20184.Peer-Reviewed Original ResearchDetection 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
2005
Multivariate linkage analysis using the electrophysiological phenotypes in the COGA alcoholism data
Zhang H, Zhong X, Ye Y. Multivariate linkage analysis using the electrophysiological phenotypes in the COGA alcoholism data. BMC Genomic Data 2005, 6: s118. PMID: 16451575, PMCID: PMC1866820, DOI: 10.1186/1471-2156-6-s1-s118.Peer-Reviewed Original ResearchLinkage analysis and association analysis in the presence of linkage using age at onset of COGA alcoholism data
Zhong X, Zhang H. Linkage analysis and association analysis in the presence of linkage using age at onset of COGA alcoholism data. BMC Genomic Data 2005, 6: s31. PMID: 16451641, PMCID: PMC1866754, DOI: 10.1186/1471-2156-6-s1-s31.Peer-Reviewed Original ResearchConceptsLinkage analysisAssociation analysisSusceptibility genesGenetic Analysis Workshop 14Alcoholism dataCombination of linkageComplex disease mappingDisease susceptibility genesEntire genomeMean identityLinkage disequilibriumTransmission/disequilibrium testAssociation TestGenesPresence of linkageDisequilibrium testGenomeChromosomesGeneticsLinkageDisequilibriumAssociation strategyGreater numberRegion