2021
Ancestry may confound genetic machine learning: Candidate-gene prediction of opioid use disorder as an example
Hatoum AS, Wendt FR, Galimberti M, Polimanti R, Neale B, Kranzler HR, Gelernter J, Edenberg HJ, Agrawal A. Ancestry may confound genetic machine learning: Candidate-gene prediction of opioid use disorder as an example. Drug And Alcohol Dependence 2021, 229: 109115. PMID: 34710714, PMCID: PMC9358969, DOI: 10.1016/j.drugalcdep.2021.109115.Peer-Reviewed Original ResearchConceptsGenome-wide significant variantsCandidate gene predictionGenetic predictionRandom SNPsPolygenic traitRandom phenotypeCandidate SNPsSimulated phenotypesPsychiatric geneticsGenetic machineSignificant variantsBinary phenotypesCandidate variantsSNPsAncestryPhenotypeAllele frequenciesVariantsMachine learning modelsGenetic testsLearning model
2018
GWAS and network analysis of co‐occurring nicotine and alcohol dependence identifies significantly associated alleles and network
Xiang B, Yang B, Zhou H, Kranzler H, Gelernter J. GWAS and network analysis of co‐occurring nicotine and alcohol dependence identifies significantly associated alleles and network. American Journal Of Medical Genetics Part B Neuropsychiatric Genetics 2018, 180: 3-11. PMID: 30488612, PMCID: PMC6918694, DOI: 10.1002/ajmg.b.32692.Peer-Reviewed Original ResearchMeSH KeywordsAdultAlcoholismAllelesBlack or African AmericanComorbidityEthanolFemaleG(M2) Activator ProteinGene FrequencyGene Regulatory NetworksGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansMaleMiddle AgedNicotinePolymorphism, Single NucleotideProtein Interaction MapsRisk FactorsTobacco Use DisorderWhite PeopleConceptsGene subnetworksProtein-protein interaction (PPI) network analysisGenome-wide significant variantsInteraction network analysisGene-set analysisFunctional enrichment analysisSignificant SNPsQuantitative lociNerve growth factor pathwayGene enrichmentEnrichment analysisNetwork analysisGenetic traitsGrowth factor pathwaysRisk genesSignificant variantsGenesStudy of AddictionSNPsFactor pathwayGM2AAmphetamine addictionGenetic riskGWASSubnetworks