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
2019
Apolipoprotein E gene polymorphism, posttraumatic stress disorder, and cognitive function in older U.S. veterans: Results from the National Health and Resilience in Veterans Study
Averill LA, Abdallah CG, Levey DF, Han S, Harpaz‐Rotem I, Kranzler HR, Southwick SM, Krystal JH, Gelernter J, Pietrzak RH. Apolipoprotein E gene polymorphism, posttraumatic stress disorder, and cognitive function in older U.S. veterans: Results from the National Health and Resilience in Veterans Study. Depression And Anxiety 2019, 36: 834-845. PMID: 31385647, DOI: 10.1002/da.22912.Peer-Reviewed Original ResearchConceptsPosttraumatic stress disorderExecutive functionCognitive functioningStress disorderΕ4 carrier statusΕ4 carriersVeterans StudyCognitive dysfunctionAttention/concentrationGreater cognitive difficultiesLower cognitive functioningOlder U.S. veteransΕ4 allele carrier statusPerseverative errorsCognitive difficultiesReplication sampleCarrier statusCognitive functionImportance of assessingNational HealthCognitive declinePredictive effectApolipoprotein E gene polymorphismE gene polymorphismΕ4 allele carriersGenome-Wide Meta-Analyses of FTND and TTFC Phenotypes
Chen J, Loukola A, Gillespie NA, Peterson R, Jia P, Riley B, Maes H, Dick DM, Kendler KS, Damaj MI, Miles MF, Zhao Z, Li MD, Vink JM, Minica CC, Willemsen G, Boomsma DI, Qaiser B, Madden PAF, Korhonen T, Jousilahti P, Hällfors J, Gelernter J, Kranzler HR, Sherva R, Farrer L, Maher B, Vanyukov M, Taylor M, Ware JJ, Munafò MR, Lutz SM, Hokanson JE, Gu F, Landi MT, Caporaso NE, Hancock DB, Gaddis NC, Baker TB, Bierut LJ, Johnson EO, Chenoweth M, Lerman C, Tyndale R, Kaprio J, Chen X. Genome-Wide Meta-Analyses of FTND and TTFC Phenotypes. Nicotine & Tobacco Research 2019, 22: 900-909. PMID: 31294817, PMCID: PMC7249921, DOI: 10.1093/ntr/ntz099.Peer-Reviewed Original ResearchConceptsGenome-Wide Meta-AnalysisGene-based analysisChemokine signaling pathwaysGenetic architectureActin cytoskeletonNew lociReceptor recyclingMAPK signalingPathway interactionsBiological pathwaysSignaling pathwaysAxon guidanceNovel pathwayPhenotypeNovel candidatesEuropean ancestryPathwayReplication sampleNetwork analysisReplicationIno80CCytoskeletonCOPB2EndocytosisSORBS2
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 cannabisATP2B2
2016
Genome-wide association study of lifetime cannabis use based on a large meta-analytic sample of 32 330 subjects from the International Cannabis Consortium
Stringer S, Minică CC, Verweij KJ, Mbarek H, Bernard M, Derringer J, van Eijk KR, Isen JD, Loukola A, Maciejewski DF, Mihailov E, van der Most PJ, Sánchez-Mora C, Roos L, Sherva R, Walters R, Ware JJ, Abdellaoui A, Bigdeli TB, Branje SJ, Brown SA, Bruinenberg M, Casas M, Esko T, Garcia-Martinez I, Gordon SD, Harris JM, Hartman CA, Henders AK, Heath AC, Hickie IB, Hickman M, Hopfer CJ, Hottenga JJ, Huizink AC, Irons DE, Kahn RS, Korhonen T, Kranzler HR, Krauter K, van Lier PA, Lubke GH, Madden PA, Mägi R, McGue MK, Medland SE, Meeus WH, Miller MB, Montgomery GW, Nivard MG, Nolte IM, Oldehinkel AJ, Pausova Z, Qaiser B, Quaye L, Ramos-Quiroga JA, Richarte V, Rose RJ, Shin J, Stallings MC, Stiby AI, Wall TL, Wright MJ, Koot HM, Paus T, Hewitt JK, Ribasés M, Kaprio J, Boks MP, Snieder H, Spector T, Munafò MR, Metspalu A, Gelernter J, Boomsma DI, Iacono WG, Martin NG, Gillespie NA, Derks EM, Vink JM. Genome-wide association study of lifetime cannabis use based on a large meta-analytic sample of 32 330 subjects from the International Cannabis Consortium. Translational Psychiatry 2016, 6: e769-e769. PMID: 27023175, PMCID: PMC4872459, DOI: 10.1038/tp.2016.36.Peer-Reviewed Original ResearchConceptsLifetime cannabis useCannabis useInternational Cannabis ConsortiumLifetime cannabisIndividual differencesAutism disorderOccasional cannabisCannabis initiationSubstance useEffect sizeSocial consequencesCannabisLifetime cigarette smokingCigarette useReplication sampleGene-based testsCigarette smokingPsychoactive substancesIllicit psychoactive substancesSNP effect sizesFrequent useGenome-wide association studiesGenetic correlationsGenome-wide association dataAbuse
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