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 findingsLevels
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 ResearchLinkage analysis of longitudinal data and design consideration
Zhang H, Zhong X. Linkage analysis of longitudinal data and design consideration. BMC Genomic Data 2006, 7: 37. PMID: 16768806, PMCID: PMC1550417, DOI: 10.1186/1471-2156-7-37.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