2023
Modeling the longitudinal changes of ancestry diversity in the Million Veteran Program
Wendt F, Pathak G, Vahey J, Qin X, Koller D, Cabrera-Mendoza B, Haeny A, Harrington K, Rajeevan N, Duong L, Levey D, De Angelis F, De Lillo A, Bigdeli T, Pyarajan S, Gaziano J, Gelernter J, Aslan M, Provenzale D, Helmer D, Hauser E, Polimanti R. Modeling the longitudinal changes of ancestry diversity in the Million Veteran Program. Human Genomics 2023, 17: 46. PMID: 37268996, PMCID: PMC10239111, DOI: 10.1186/s40246-023-00487-3.Peer-Reviewed Original Research
2020
Genotyping Array Design and Data Quality Control in the Million Veteran Program
Hunter-Zinck H, Shi Y, Li M, Gorman BR, Ji SG, Sun N, Webster T, Liem A, Hsieh P, Devineni P, Karnam P, Gong X, Radhakrishnan L, Schmidt J, Assimes TL, Huang J, Pan C, Humphries D, Brophy M, Moser J, Muralidhar S, Huang GD, Przygodzki R, Concato J, Gaziano JM, Gelernter J, O’Donnell C, Hauser ER, Zhao H, O’Leary T, Program V, Tsao PS, Pyarajan S. Genotyping Array Design and Data Quality Control in the Million Veteran Program. American Journal Of Human Genetics 2020, 106: 535-548. PMID: 32243820, PMCID: PMC7118558, DOI: 10.1016/j.ajhg.2020.03.004.Peer-Reviewed Original ResearchConceptsMillion Veteran ProgramGenome-wide association studiesGenome-wide scanHigh-quality genotypesArray-based genotypingWhole-genome sequencingNon-European individualsAssociation studiesGenetic markersOmics assaysAxiom arrayDownstream analysisVeteran ProgramCommon variantsGenetic associationAfrican American ancestryAmerican ancestryMVP cohortRare variantsSingle assayDiversityFurther data releasesLarge biobanksPromising resourceQuality control
2016
Phenome-Wide Association Study for Alcohol and Nicotine Risk Alleles in 26394 Women
Polimanti R, Kranzler HR, Gelernter J. Phenome-Wide Association Study for Alcohol and Nicotine Risk Alleles in 26394 Women. Neuropsychopharmacology 2016, 41: 2688-2696. PMID: 27187070, PMCID: PMC5026736, DOI: 10.1038/npp.2016.72.Peer-Reviewed Original ResearchConceptsHealth initiativesRisk allelesSocioeconomic statusPhenome-wide association studyWomen's Health InitiativeMetabolism-related mechanismsMedication useLung cancerTobacco useDietary habitsSmoking behaviorNicotine useReproductive historyReproductive healthSuggestive findingsAlcohol useAnthropometric characteristicsMental healthHealth conditionsMetabolic conditionsCausative relationshipAssociation studiesDrinking behaviorADH1BAssociation
2015
Ancestry informative markers for distinguishing between Thai populations based on genome-wide association datasets
Vongpaisarnsin K, Listman JB, Malison RT, Gelernter J. Ancestry informative markers for distinguishing between Thai populations based on genome-wide association datasets. Legal Medicine 2015, 17: 245-250. PMID: 25759192, PMCID: PMC4480199, DOI: 10.1016/j.legalmed.2015.02.004.Peer-Reviewed Original ResearchConceptsGenome-wide association studiesAncestry informative markersAssociation studiesGenome-wide association datasetInformative markersGenetic structureHapMap populationsSNP dataInternational HapMap databaseSuch SNPsEast Asian populationsHapMap databaseSNPsMarkersPopulationDiversityAsian populationsEfficient strategyThai population
2011
Strong Association of the Alcohol Dehydrogenase 1B Gene (ADH1B) with Alcohol Dependence and Alcohol-Induced Medical Diseases
Li D, Zhao H, Gelernter J. Strong Association of the Alcohol Dehydrogenase 1B Gene (ADH1B) with Alcohol Dependence and Alcohol-Induced Medical Diseases. Biological Psychiatry 2011, 70: 504-512. PMID: 21497796, PMCID: PMC3142297, DOI: 10.1016/j.biopsych.2011.02.024.Peer-Reviewed Original ResearchConceptsAlcohol dependenceAlcohol dehydrogenase 1B (ADH1B) geneMedical diseasesAlcohol-induced liver diseaseStrong associationCertain Asian populationsRandom-effects modelADH1B geneLarger ORsLiver diseaseSubgroup analysisLarger sample sizeDrug dependenceSignificant associationSubstance dependenceMultiple ethnic populationsRecessive modelAsian populationsDiseaseInter-rater reliability and concurrent validity of DSM-IV opioid dependence in a Hmong isolate using the Thai version of the Semi-Structured Assessment for Drug Dependence and Alcoholism (SSADDA)
Malison RT, Kalayasiri R, Sanichwankul K, Sughondhabirom A, Mutirangura A, Pittman B, Gueorguieva R, Kranzler HR, Gelernter J. Inter-rater reliability and concurrent validity of DSM-IV opioid dependence in a Hmong isolate using the Thai version of the Semi-Structured Assessment for Drug Dependence and Alcoholism (SSADDA). Addictive Behaviors 2011, 36: 156-160. PMID: 20888699, PMCID: PMC2981662, DOI: 10.1016/j.addbeh.2010.08.031.Peer-Reviewed Original Research
2007
Reliability of DSM-IV diagnostic criteria using the semi-structured assessment for drug dependence and alcoholism (SSADDA)
Pierucci-Lagha A, Gelernter J, Chan G, Arias A, Cubells JF, Farrer L, Kranzler HR. Reliability of DSM-IV diagnostic criteria using the semi-structured assessment for drug dependence and alcoholism (SSADDA). Drug And Alcohol Dependence 2007, 91: 85-90. PMID: 17590536, PMCID: PMC2039919, DOI: 10.1016/j.drugalcdep.2007.04.014.Peer-Reviewed Original ResearchConceptsDSM-IV diagnosisDSM-IV criteriaSemi-Structured AssessmentDrug dependenceIndividual DSM-IV criteriaDiagnostic reliabilityDiagnostic criteriaSubstance dependenceDSM-IV diagnostic criteriaIndividual diagnostic criteriaSubstance dependence diagnosesOpioid dependenceTest-retest reliabilityInter-rater reliabilityPsychiatric disordersDependence diagnosisCocaine dependenceConfidence intervalsDiagnosisInter-rater reliability estimatesAlcoholismSedativesCriteriaIndividual criteriaSpecific groupsGene-by-Environment (Serotonin Transporter and Childhood Maltreatment) Interaction for Anxiety Sensitivity, an Intermediate Phenotype for Anxiety Disorders
Stein MB, Schork NJ, Gelernter J. Gene-by-Environment (Serotonin Transporter and Childhood Maltreatment) Interaction for Anxiety Sensitivity, an Intermediate Phenotype for Anxiety Disorders. Neuropsychopharmacology 2007, 33: 312-319. PMID: 17460615, DOI: 10.1038/sj.npp.1301422.Peer-Reviewed Original Research
2004
A polymorphism of the β1-adrenergic receptor is associated with low extraversion
Stein MB, Schork NJ, Gelernter J. A polymorphism of the β1-adrenergic receptor is associated with low extraversion. Biological Psychiatry 2004, 56: 217-224. PMID: 15312808, DOI: 10.1016/j.biopsych.2004.05.020.Peer-Reviewed Original ResearchAdolescentAdultArginineChi-Square DistributionCluster AnalysisEthnicityExtraversion, PsychologicalFemaleGene FrequencyGlycineHumansMalePersonality InventoryPhenotypePolymorphism, GeneticPsychiatric Status Rating ScalesReceptors, Adrenergic, beta-1Regression AnalysisReverse Transcriptase Polymerase Chain ReactionRNA, MessengerSerineSex CharacteristicsSurveys and Questionnaires
1997
Population genetics of a functional variant of the dopamine β‐hydroxylase gene (DBH)
Cubells J, Kobayashi K, Nagatsu T, Kidd K, Kidd J, Calafell F, Kranzler H, Ichinose H, Gelernter J. Population genetics of a functional variant of the dopamine β‐hydroxylase gene (DBH). American Journal Of Medical Genetics 1997, 74: 374-379. PMID: 9259372, DOI: 10.1002/(sici)1096-8628(19970725)74:4<374::aid-ajmg7>3.0.co;2-p.Peer-Reviewed Original Research