2023
Machine Learning of Functional Connectivity to Biotype Alcohol and Nicotine Use Disorders
Zhu T, Wang W, Chen Y, Kranzler H, Li C, Bi J. Machine Learning of Functional Connectivity to Biotype Alcohol and Nicotine Use Disorders. Biological Psychiatry Cognitive Neuroscience And Neuroimaging 2023, 9: 326-336. PMID: 37696489, PMCID: PMC10976073, DOI: 10.1016/j.bpsc.2023.08.010.Peer-Reviewed Original ResearchNicotine use disorderHealthy controlsFunctional connectivity featuresUse disordersMagnetic resonance imagingNUD subjectsVisual cortexResonance imagingClinical metricsFunctional connectivityNoninvasive toolNeural phenotypesSample of individualsMulti-task learningTransdiagnostic approachUK BiobankReplication setGenetic profileMarkersReplication sampleHighest areaDisordersDepressionAUDBody of literature
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