2024
Genetic and non-genetic predictors of risk for opioid dependence.
Na P, Deak J, Kranzler H, Pietrzak R, Gelernter J. Genetic and non-genetic predictors of risk for opioid dependence. Psychological Medicine 2024, 54: 1779-1786. PMID: 38317430, PMCID: PMC11132928, DOI: 10.1017/s0033291723003732.Peer-Reviewed Original ResearchPolygenic risk scoresMulti-trait analysis of genome-wide association studyOpioid use disorderPosttraumatic stress disorderPsychosocial/environmental factorsAnalysis of genome-wide association studiesHigher education levelGenome-wide association studiesNon-genetic predictorsEuropean-ancestry adultsEtiology of ODPublic health crisisPsychosocial factorsPolygenic riskMulti-trait analysisEducation levelPsychosocial environmentHousehold incomeRisk scoreAssociation studiesOpioid dependenceDiagnosis of ODLifetime diagnosisYale-PennAssociated with OD
2023
Identifying genetic loci and phenomic associations of substance use traits: A multi‐trait analysis of GWAS (MTAG) study
Xu H, Toikumo S, Crist R, Glogowska K, Jinwala Z, Deak J, Justice A, Gelernter J, Johnson E, Kranzler H, Kember R. Identifying genetic loci and phenomic associations of substance use traits: A multi‐trait analysis of GWAS (MTAG) study. Addiction 2023, 118: 1942-1952. PMID: 37156939, PMCID: PMC10754226, DOI: 10.1111/add.16229.Peer-Reviewed Original ResearchConceptsGenome-wide association studiesSignificant single nucleotide polymorphismsSubstance use traitsMulti-trait analysisAssociation studiesGenetic architectureUse traitsGenome-wide significant single nucleotide polymorphismsProtein-protein interaction analysisTrait genetic architectureNumber of lociPolygenic risk scoresEuropean ancestry individualsNovel lociSingle nucleotide polymorphismsGenetic lociGWAS studiesLociMultiple related phenotypesNucleotide polymorphismsRelated phenotypesTraitsNovel associationsMTAgBiobank samplesMultivariate genome-wide association meta-analysis of over 1 million subjects identifies loci underlying multiple substance use disorders
Hatoum A, Colbert S, Johnson E, Huggett S, Deak J, Pathak G, Jennings M, Paul S, Karcher N, Hansen I, Baranger D, Edwards A, Grotzinger A, Tucker-Drob E, Kranzler H, Davis L, Sanchez-Roige S, Polimanti R, Gelernter J, Edenberg H, Bogdan R, Agrawal A. Multivariate genome-wide association meta-analysis of over 1 million subjects identifies loci underlying multiple substance use disorders. Nature Mental Health 2023, 1: 210-223. PMID: 37250466, PMCID: PMC10217792, DOI: 10.1038/s44220-023-00034-y.Peer-Reviewed Original ResearchGenome-wide associationGenetic risk lociIndependent single nucleotide polymorphismsProblematic tobacco useSingle nucleotide polymorphismsRisk lociHigh polygenicityLociReceptor geneAddiction risk factorsPolygenic risk scoresEuropean descentPolygenicityGenesSummary statisticsSubstance use disordersSomatic conditionsAncestryRegulationConfersUse disordersPolymorphismGenetic liabilityDopamine regulationPDE4B
2021
Effects of genetic risk for alcohol dependence and onset of regular drinking on the progression to alcohol dependence: A polygenic risk score approach
Yeung EW, Spychala KM, Miller AP, Otto JM, Deak JD, Kim H, Gilder DA, Ehlers CL, Wilhelmsen KC, Gizer IR. Effects of genetic risk for alcohol dependence and onset of regular drinking on the progression to alcohol dependence: A polygenic risk score approach. Drug And Alcohol Dependence 2021, 230: 109117. PMID: 34844060, PMCID: PMC8714681, DOI: 10.1016/j.drugalcdep.2021.109117.Peer-Reviewed Original ResearchConceptsRate of progressionRegular drinkingAlcohol dependenceCox proportional hazards regression analysisProportional hazards regression analysisEarly onsetGenetic riskHazards regression analysisHazard of progressionMixed-effects logistic regressionEuropean-ancestry adultsHigh clinical relevanceAD risk variantsEffects logistic regressionAD independentPolygenic risk score approachClinical courseRapid progressionAD preventionFaster progressionPolygenic risk scoresRisk scoreClinical relevanceLate onsetAD diagnosis
2019
Polygenic liability for schizophrenia predicts shifting-specific executive function deficits and tobacco use in a moderate drinking community sample
Miller A, Gizer I, Fleming Iii W, Otto J, Deak J, Martins J, Bartholow B. Polygenic liability for schizophrenia predicts shifting-specific executive function deficits and tobacco use in a moderate drinking community sample. Psychiatry Research 2019, 279: 47-54. PMID: 31299563, PMCID: PMC6713597, DOI: 10.1016/j.psychres.2019.06.025.Peer-Reviewed Original Research