2023
Does polygenic risk for substance‐related traits predict ages of onset and progression of symptoms?
Kranzler H, Feinn R, Xu H, Ho B, Saini D, Nicastro O, Jacoby A, Toikumo S, Gelernter J, Hartwell E, Kember R. Does polygenic risk for substance‐related traits predict ages of onset and progression of symptoms? Addiction 2023, 118: 1675-1686. PMID: 37069489, PMCID: PMC10525011, DOI: 10.1111/add.16210.Peer-Reviewed Original ResearchConceptsOpioid use disorderSubstance use disordersProgression of symptomsPolygenic risk scoresAlcohol use disorderUse disordersAfrican ancestry individualsGenetic riskRegular useEuropean ancestry individualsEarly onsetMore rapid progressionRegular alcohol useShorter progression timeAge of onsetFirst substance useDiscovery sampleUS inpatientsOnset of problemsOutpatient settingDisease progressionRapid progressionSymptom progressionRisk scoreGenome-wide association studies
2021
Genome-wide association study of phenotypes measuring progression from first cocaine or opioid use to dependence reveals novel risk genes
Sherva R, Zhu C, Wetherill L, Edenberg H, Johnson E, Degenhardt L, Agrawal A, Martin N, Nelson E, Kranzler H, Gelernter J, Farrer L. Genome-wide association study of phenotypes measuring progression from first cocaine or opioid use to dependence reveals novel risk genes. Exploration Of Medicine 2021 DOI: 10.37349/emed.2020.00032.Peer-Reviewed Original ResearchGenome-wide association study of phenotypes measuring progression from first cocaine or opioid use to dependence reveals novel risk genes
Sherva R, Zhu C, Wetherill L, Edenberg HJ, Johnson E, Degenhardt L, Agrawal A, Martin NG, Nelson E, Kranzler HR, Gelernter J, Farrer LA. Genome-wide association study of phenotypes measuring progression from first cocaine or opioid use to dependence reveals novel risk genes. Exploration Of Medicine 2021, 2: 60-73. PMID: 34124712, PMCID: PMC8192073, DOI: 10.37349/emed.2021.00032.Peer-Reviewed Original ResearchCox proportional hazards regressionProportional hazards regressionAfrican AmericansDiscovery sampleSelf-reported useSubstantial morbidityHazards regressionHealth burdenIndependent cohortSubstance dependence phenotypesDependence diagnosisGenetic risk lociReplication cohortCocaine dependenceOpioidsDependence phenotypesCohortGenetic variantsTop findingsCocaineRisk lociDisorder resultsLarge percentage
2019
Genetic associations with suicide attempt severity and genetic overlap with major depression
Levey DF, Polimanti R, Cheng Z, Zhou H, Nuñez YZ, Jain S, He F, Sun X, Ursano RJ, Kessler RC, Smoller JW, Stein MB, Kranzler HR, Gelernter J. Genetic associations with suicide attempt severity and genetic overlap with major depression. Translational Psychiatry 2019, 9: 22. PMID: 30655502, PMCID: PMC6336846, DOI: 10.1038/s41398-018-0340-2.Peer-Reviewed Original ResearchConceptsGWS associationsGenome-wide significant signalsCircadian clock regulationWide association studyGenetic overlapCatabolism of tyrosineClock regulationFirst GWASSignificant genetic overlapDiscovery GWASChromosome 12Large GWASMolecular mechanismsAssociation studiesChromosome 15Chromosome 18Genetic influencesDiscovery sampleGenetic associationSuicide attempt severityReplication analysisGWASAnaerobic energy productionGenetic risk factorsPolygenic risk scores
2018
Adverse Childhood Experiences, Epigenetic Measures, and Obesity in Youth
Kaufman J, Montalvo-Ortiz JL, Holbrook H, O'Loughlin K, Orr C, Kearney C, Yang BZ, Wang T, Zhao H, Althoff R, Garavan H, Gelernter J, Hudziak J. Adverse Childhood Experiences, Epigenetic Measures, and Obesity in Youth. The Journal Of Pediatrics 2018, 202: 150-156.e3. PMID: 30177354, PMCID: PMC6513669, DOI: 10.1016/j.jpeds.2018.06.051.Peer-Reviewed Original ResearchConceptsBody mass indexAdverse childhood experiencesMass indexIndices of obesityAssessment of obesityChildhood experiencesFuture longitudinal studiesObesity riskHealth burdenPsychiatric outcomesSecond cohortObesityNovel interventionsCohortEarly adversityCross-sectional measuresEpigenetic predictorsLongitudinal studySaliva DNAEpigenetic measuresWhole genome testingDiscovery sampleReplication sampleChildrenRiskGenome‐wide association meta‐analysis of age at first cannabis use
Minică CC, Verweij KJH, van der Most P, Mbarek H, Bernard M, van Eijk K, Lind PA, Liu MZ, Maciejewski DF, Palviainen T, Sánchez‐Mora C, Sherva R, Taylor M, Walters RK, Abdellaoui A, Bigdeli TB, Branje SJT, Brown SA, Casas M, Corley RP, Davey‐Smith G, Davies GE, Ehli EA, Farrer L, Fedko IO, Garcia‐Martínez I, Gordon SD, Hartman CA, Heath AC, Hickie IB, Hickman M, Hopfer CJ, Hottenga JJ, Kahn RS, Kaprio J, Korhonen T, Kranzler HR, Krauter K, van Lier P, Madden PAF, Medland SE, Neale MC, Meeus WHJ, Montgomery GW, Nolte IM, Oldehinkel AJ, Pausova Z, Ramos‐Quiroga J, Richarte V, Rose RJ, Shin J, Stallings MC, Wall TL, Ware JJ, Wright MJ, Zhao H, Koot HM, Paus T, Hewitt JK, Ribasés M, Loukola A, Boks MP, Snieder H, Munafò MR, Gelernter J, Boomsma DI, Martin NG, Gillespie NA, Vink JM, Derks EM. Genome‐wide association meta‐analysis of age at first cannabis use. Addiction 2018, 113: 2073-2086. PMID: 30003630, PMCID: PMC7087375, DOI: 10.1111/add.14368.Peer-Reviewed Original ResearchConceptsGenome-wide associationSingle nucleotide polymorphismsLinkage disequilibriumTwin-based heritabilityGene-based testsHigh linkage disequilibriumATPase geneWide associationATP2C2 geneChromosome 16Heritability analysisHeritability of ageGenetic variantsNucleotide polymorphismsDiscovery sampleHeritabilityGenesATP2C2Replication sampleEnvironmental factorsRole of calciumIdentified associationsFirst cannabis useFirst cannabisATP2B2Multivariate Pattern Analysis of Genotype–Phenotype Relationships in Schizophrenia
Zheutlin AB, Chekroud AM, Polimanti R, Gelernter J, Sabb FW, Bilder RM, Freimer N, London ED, Hultman CM, Cannon TD. Multivariate Pattern Analysis of Genotype–Phenotype Relationships in Schizophrenia. Schizophrenia Bulletin 2018, 44: 1045-1052. PMID: 29534239, PMCID: PMC6101611, DOI: 10.1093/schbul/sby005.Peer-Reviewed Original ResearchConceptsMultivariate pattern analysisIndependent samplesVisual memoryCognitive endophenotypesPredictive strengthSchizophreniaMemoryIndividual variationPattern analysisSingle predictorCertain domainsDiscovery samplePsychiatric patientsPolygenic risk scoresPredictive powerScoresEndophenotypesPotential relationshipRelationshipRandom forestGenetic risk variantsLimited setPredictorsComprehensive setSamples
2017
Genome-Wide Association Studies of a Broad Spectrum of Antisocial Behavior
Tielbeek JJ, Johansson A, Polderman TJC, Rautiainen MR, Jansen P, Taylor M, Tong X, Lu Q, Burt AS, Tiemeier H, Viding E, Plomin R, Martin NG, Heath AC, Madden PAF, Montgomery G, Beaver KM, Waldman I, Gelernter J, Kranzler HR, Farrer LA, Perry JRB, Munafò M, LoParo D, Paunio T, Tiihonen J, Mous SE, Pappa I, de Leeuw C, Watanabe K, Hammerschlag AR, Salvatore JE, Aliev F, Bigdeli TB, Dick D, Faraone SV, Popma A, Medland SE, Posthuma D. Genome-Wide Association Studies of a Broad Spectrum of Antisocial Behavior. JAMA Psychiatry 2017, 74: 1242-1250. PMID: 28979981, PMCID: PMC6309228, DOI: 10.1001/jamapsychiatry.2017.3069.Peer-Reviewed Original ResearchConceptsNovel genetic risk variantsSingle nucleotide polymorphism-based heritabilityGenome-wide association studiesGenome-wide association dataCausal genetic variantsGenome-wide genotypesPolygenic risk score analysisGenetic architectureGenetic risk variantsInverse genetic correlationPromising lociAssociation studiesBiological pathwaysPleiotropic associationsQuantitative phenotypesGenetic correlationsPsychiatric traitsAssociation dataGenetic effectsRisk variantsRisk score analysisGenetic variantsGenetic originDiscovery sampleTraits
2013
Genome-wide association study of cocaine dependence and related traits: FAM53B identified as a risk gene
Gelernter J, Sherva R, Koesterer R, Almasy L, Zhao H, Kranzler HR, Farrer L. Genome-wide association study of cocaine dependence and related traits: FAM53B identified as a risk gene. Molecular Psychiatry 2013, 19: 717-723. PMID: 23958962, PMCID: PMC3865158, DOI: 10.1038/mp.2013.99.Peer-Reviewed Original ResearchMeSH KeywordsAdultBlack or African AmericanCDC2 Protein KinaseCocaineCocaine-Related DisordersCyclin-Dependent KinasesDopamine Uptake InhibitorsFemaleGenetic Predisposition to DiseaseGenome-Wide Association StudyGenotyping TechniquesHumansMaleNuclear Receptor Co-Repressor 2Paranoid DisordersPolymorphism, Single NucleotideUnited StatesWhite PeopleConceptsGenome-wide association studiesAssociation studiesAvailable GWAS dataSignificant GWAS SNPsNovel risk lociGWAS data setsSame chromosomal regionDiscovery sampleGenomes reference panelPrevious linkage studiesGWAS SNPsGWAS dataRelated traitsChromosomal regionsRisk lociRisk genesRisk variantsGenesReference panelAdditional genotypesLinkage studiesLociEuropean-American subjectsCocaine-induced paranoiaFAM53B