2023
Profiling neuronal methylome and hydroxymethylome of opioid use disorder in the human orbitofrontal cortex
Rompala G, Nagamatsu S, Martínez-Magaña J, Nuñez-Ríos D, Wang J, Girgenti M, Krystal J, Gelernter J, Hurd Y, Montalvo-Ortiz J. Profiling neuronal methylome and hydroxymethylome of opioid use disorder in the human orbitofrontal cortex. Nature Communications 2023, 14: 4544. PMID: 37507366, PMCID: PMC10382503, DOI: 10.1038/s41467-023-40285-y.Peer-Reviewed Original ResearchConceptsOpioid use disorderMulti-omics findingsGene expression patternsCo-methylation analysisGene expression profilesMulti-omics profilingGene networksDNA methylationNeuronal methylomesDNA hydroxymethylationMethylomic analysisExpression patternsExpression profilesEpigenetic disturbancesUse disordersPsychiatric traitsOrbitofrontal cortexOpioid-related drugsPostmortem orbitofrontal cortexEnvironmental factorsDrug interaction analysisOUD treatmentHuman orbitofrontal cortexOpioid signalingInteraction analysisGenetic Decomposition of the Heritable Component of Reported Childhood Maltreatment
Kuile A, Hübel C, Cheesman R, Coleman J, Peel A, Levey D, Stein M, Gelernter J, Rayner C, Eley T, Breen G. Genetic Decomposition of the Heritable Component of Reported Childhood Maltreatment. Biological Psychiatry Global Open Science 2023, 3: 716-724. PMID: 37881567, PMCID: PMC10593925, DOI: 10.1016/j.bpsgos.2023.03.003.Peer-Reviewed Original ResearchGenetic componentGenomic structural equationGenome-wide association study summary statisticsCommon genetic variantsResidual genetic varianceGeneral risk toleranceGenetic variancePutative traitsHeritable componentBehavioral traitsGenetic correlationsTraitsGenetic variantsHeritable characteristicsHeritable factorsHeritabilityEnvironmental factorsDecades of researchGenetic influencesSummary statisticsPhenotype
2020
A genome-wide association study of cocaine use disorder accounting for phenotypic heterogeneity and gene–environment interaction
Sun J, Kranzler HR, Gelernter J, Bi J. A genome-wide association study of cocaine use disorder accounting for phenotypic heterogeneity and gene–environment interaction. Journal Of Psychiatry And Neuroscience 2020, 45: 34-44. PMID: 31490055, PMCID: PMC6919916, DOI: 10.1503/jpn.180098.Peer-Reviewed Original ResearchConceptsGenetic lociGenome-wide association testsPhenotypic heterogeneityNew genetic lociGenetic variantsWide association studyGene-environment interplayNovel genetic variantsHigh heritability estimatesSignificant genomeReplication sampleSingle nucleotide polymorphismsGenetic variationAssociation studiesLociNucleotide polymorphismsAssociation TestHeritability estimatesGene-environment interactionsReplication resultsCluster analysisEnvironmental factorsTRAK2GenomeDiscovery phase
2018
Genome‐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 cannabisATP2B2
2016
Review: DNA methylation and alcohol use disorders: Progress and challenges
Zhang H, Gelernter J. Review: DNA methylation and alcohol use disorders: Progress and challenges. American Journal On Addictions 2016, 26: 502-515. PMID: 27759945, PMCID: PMC6003819, DOI: 10.1111/ajad.12465.Peer-Reviewed Original ResearchConceptsDNA methylation changesDNA methylationMethylation changesGenome-wide DNA methylation studyGene expressionPromoter regionGlobal DNA methylation levelsDNA methylation profilesDNA methylation studiesDNA methylation levelsWidespread DNA methylationCandidate gene studiesEpigenetic mechanismsGenetic variationConsequences of AUDMethylation profilesMethylation studiesGene studiesMethylation levelsMethylationAUD subjectsGene-environment interactionsEnvironmental factorsInteractive effectsExpression
2012
ANKRD7 and CYTL1 are novel risk genes for alcohol drinking behavior.
Chen XD, Xiong DH, Yang TL, Pei YF, Guo YF, Li J, Yang F, Pan F, Tan LJ, Yan H, Liu XG, Lei SF, Li X, Ning LL, Zhu XZ, Levy S, Kranzler HR, Farrer LA, Gelernter J, Recker RR, Deng HW. ANKRD7 and CYTL1 are novel risk genes for alcohol drinking behavior. Chinese Medical Journal 2012, 125: 1127-34. PMID: 22613542, PMCID: PMC4174677.Peer-Reviewed Original ResearchConceptsGenome-wide association studiesAlcohol-related phenotypesAssociation studiesUnrelated Caucasian subjectsGenome-wide significance levelAffymetrix 500K SNP arrayK SNP arrayNovel risk genesCaucasian nuclear familiesGWAS technologySuggestive statistical evidenceSNP arrayANKRD7GenesRisk genesSusceptibility genesUnrelated Chinese HansSusceptibility allelesCertain haplotypesComplex disorderReplication sampleEnvironmental factorsUnrelated CaucasiansPhenotypeChinese Han