2013
NKAIN1–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
Large Scale Association Analysis for Drug Addiction: Results from SNP to Gene
Guo X, Liu Z, Wang X, Zhang H. Large Scale Association Analysis for Drug Addiction: Results from SNP to Gene. The Scientific World JOURNAL 2012, 2012: 939584. PMID: 23365539, PMCID: PMC3543790, DOI: 10.1100/2012/939584.Peer-Reviewed Original ResearchConceptsGenome-wide association studiesAssociation studiesAssociation analysisGene-based association analysisLarge-scale association analysisSingle nucleotide polymorphism dataWide association studyComplex diseasesGene-based analysisGene-based methodsNucleotide polymorphism dataGenetic association studiesPolymorphism dataGene findingGenetic variantsIndividual SNPsStudy of AddictionSNPsGenetic etiologyGenesComprehensive analysisGeneticsVariantsGenome‐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
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 levels