2022
Exploring the genetic overlap between twelve psychiatric disorders
Romero C, Werme J, Jansen P, Gelernter J, Stein M, Levey D, Polimanti R, de Leeuw C, Posthuma D, Nagel M, van der Sluis S. Exploring the genetic overlap between twelve psychiatric disorders. Nature Genetics 2022, 54: 1795-1802. PMID: 36471075, DOI: 10.1038/s41588-022-01245-2.Peer-Reviewed Original ResearchConceptsSingle nucleotide polymorphismsPleiotropic single nucleotide polymorphismsPositive genetic correlationStringent P-value thresholdGenetic architectureGenomic regionsGenetic covarianceBiological processesBiological pathwaysMolecular characterizationObserved phenotypicGenetic correlationsGenetic overlapBiological characterizationBiological mechanismsP-value thresholdOnly annotationGenesPleiotropicPairwise comparisonsPhenotypicPathwayAnnotationPolymorphismCharacterizationCollective genomic segments with differential pleiotropic patterns between cognitive dimensions and psychopathology
Lam M, Chen C, Hill W, Xia C, Tian R, Levey D, Gelernter J, Stein M, Hatoum A, Huang H, Malhotra A, Runz H, Ge T, Lencz T. Collective genomic segments with differential pleiotropic patterns between cognitive dimensions and psychopathology. Nature Communications 2022, 13: 6868. PMID: 36369282, PMCID: PMC9652380, DOI: 10.1038/s41467-022-34418-y.Peer-Reviewed Original Research
2021
The relationship between cannabis and schizophrenia: a genetically informed perspective
Johnson EC, Hatoum AS, Deak JD, Polimanti R, Murray RM, Edenberg HJ, Gelernter J, Di Forti M, Agrawal A. The relationship between cannabis and schizophrenia: a genetically informed perspective. Addiction 2021, 116: 3227-3234. PMID: 33950550, PMCID: PMC8492483, DOI: 10.1111/add.15534.Peer-Reviewed Original ResearchThe impact of removing former drinkers from genome‐wide association studies of AUDIT‐C
Dao C, Zhou H, Small A, Gordon KS, Li B, Kember RL, Ye Y, Gelernter J, Xu K, Kranzler HR, Zhao H, Justice AC. The impact of removing former drinkers from genome‐wide association studies of AUDIT‐C. Addiction 2021, 116: 3044-3054. PMID: 33861876, PMCID: PMC9377185, DOI: 10.1111/add.15511.Peer-Reviewed Original Research
2020
Leveraging genome-wide data to investigate differences between opioid use vs. opioid dependence in 41,176 individuals from the Psychiatric Genomics Consortium
Polimanti R, Walters RK, Johnson EC, McClintick JN, Adkins AE, Adkins DE, Bacanu SA, Bierut LJ, Bigdeli TB, Brown S, Bucholz KK, Copeland WE, Costello EJ, Degenhardt L, Farrer LA, Foroud TM, Fox L, Goate AM, Grucza R, Hack LM, Hancock DB, Hartz SM, Heath AC, Hewitt JK, Hopfer CJ, Johnson EO, Kendler KS, Kranzler HR, Krauter K, Lai D, Madden PAF, Martin NG, Maes HH, Nelson EC, Peterson RE, Porjesz B, Riley BP, Saccone N, Stallings M, Wall TL, Webb BT, Wetherill L, Edenberg H, Agrawal A, Gelernter J. Leveraging genome-wide data to investigate differences between opioid use vs. opioid dependence in 41,176 individuals from the Psychiatric Genomics Consortium. Molecular Psychiatry 2020, 25: 1673-1687. PMID: 32099098, PMCID: PMC7392789, DOI: 10.1038/s41380-020-0677-9.Peer-Reviewed Original Research
2019
Evidence of causal effect of major depression on alcohol dependence: findings from the psychiatric genomics consortium
Polimanti R, Peterson RE, Ong JS, MacGregor S, Edwards AC, Clarke TK, Frank J, Gerring Z, Gillespie NA, Lind PA, Maes HH, Martin NG, Mbarek H, Medland SE, Streit F, Agrawal A, Edenberg H, Kendler K, Lewis C, Sullivan P, Wray N, Gelernter J, Derks E. Evidence of causal effect of major depression on alcohol dependence: findings from the psychiatric genomics consortium. Psychological Medicine 2019, 49: 1218-1226. PMID: 30929657, PMCID: PMC6565601, DOI: 10.1017/s0033291719000667.Peer-Reviewed Original ResearchConceptsMajor depressionAlcohol dependenceAlcohol consumptionPsychiatric Genomics ConsortiumImportant public health concernMendelian randomizationPublic health concernUK BiobankClinical associationsHealth concernMR analysisReverse causationCausal roleNon-significant resultsCausal relationshipGenetic liabilityGenomics ConsortiumLinkage disequilibrium score regressionIntervention effortsGenomics of posttraumatic stress disorder in veterans: Methods and rationale for Veterans Affairs Cooperative Study #575B
Radhakrishnan K, Aslan M, Harrington KM, Pietrzak RH, Huang G, Muralidhar S, Cho K, Quaden R, Gagnon D, Pyarajan S, Sun N, Zhao H, Gaziano M, Concato J, Stein MB, Gelernter J. Genomics of posttraumatic stress disorder in veterans: Methods and rationale for Veterans Affairs Cooperative Study #575B. International Journal Of Methods In Psychiatric Research 2019, 28: e1767. PMID: 30767326, PMCID: PMC6877159, DOI: 10.1002/mpr.1767.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAgedAged, 80 and overAlgorithmsCase-Control StudiesFemaleGenetic Predisposition to DiseaseGenomicsHumansInterviews as TopicMaleMiddle AgedPolymorphism, Single NucleotidePsychiatric Status Rating ScalesStress Disorders, Post-TraumaticSurveys and QuestionnairesUnited StatesUnited States Department of Veterans AffairsVeteransYoung Adult
2017
Psychiatric Genomics: An Update and an Agenda
Sullivan PF, Agrawal A, Bulik CM, Andreassen OA, Børglum AD, Breen G, Cichon S, Edenberg HJ, Faraone SV, Gelernter J, Mathews CA, Nievergelt CM, Smoller JW, O'Donovan MC. Psychiatric Genomics: An Update and an Agenda. American Journal Of Psychiatry 2017, 175: 15-27. PMID: 28969442, PMCID: PMC5756100, DOI: 10.1176/appi.ajp.2017.17030283.Peer-Reviewed Original ResearchWidespread signatures of positive selection in common risk alleles associated to autism spectrum disorder
Polimanti R, Gelernter J. Widespread signatures of positive selection in common risk alleles associated to autism spectrum disorder. PLOS Genetics 2017, 13: e1006618. PMID: 28187187, PMCID: PMC5328401, DOI: 10.1371/journal.pgen.1006618.Peer-Reviewed Original ResearchMeSH KeywordsAllelesAttention Deficit Disorder with HyperactivityAutism Spectrum DisorderBipolar DisorderBrainComputational BiologyDepressive Disorder, MajorGene Expression ProfilingGene OntologyGene Regulatory NetworksGenetic Predisposition to DiseaseGenome-Wide Association StudyGenomicsHumansPituitary GlandPolymorphism, Single NucleotideRisk FactorsSchizophreniaTranscriptomeConceptsPositive selectionGene Ontology enrichmentGene expression enrichmentPrevious genetic studiesGWAS summary statisticsNervous system developmentCommon risk allelesPsychiatric Genomics ConsortiumSystems geneticsOntology enrichmentRisk allelesSynapse organizationWidespread signaturesEvolutionary processesGenetic studiesGenomics ConsortiumGWASHuman evolutionAllelesIncomplete selectionEffect directionMinor alleleComplete selectionEnrichmentSummary statistics
2014
Exome sequencing and genome-wide copy number variant mapping reveal novel associations with sensorineural hereditary hearing loss
Haraksingh RR, Jahanbani F, Rodriguez-Paris J, Gelernter J, Nadeau KC, Oghalai JS, Schrijver I, Snyder MP. Exome sequencing and genome-wide copy number variant mapping reveal novel associations with sensorineural hereditary hearing loss. BMC Genomics 2014, 15: 1155. PMID: 25528277, PMCID: PMC4367882, DOI: 10.1186/1471-2164-15-1155.Peer-Reviewed Original ResearchConceptsHearing lossHereditary hearing lossExome sequencingSensorineural hearing lossType II myosinGenome-wide CNV analysisCase-control cohortNon-syndromic sensorineural hearing lossStrong candidate geneLoss patientsDirect clinical applicationGenetic diversityNovel lociClinical settingCytoskeletal proteinsCandidate genesCandidate lociVariants mappingDistinct familiesChromosome 16Loss phenotypeClinical applicationNovel regionLociCNV analysisGenetic risk prediction and neurobiological understanding of alcoholism
Levey DF, Le-Niculescu H, Frank J, Ayalew M, Jain N, Kirlin B, Learman R, Winiger E, Rodd Z, Shekhar A, Schork N, Kiefe F, Wodarz N, Müller-Myhsok B, Dahmen N, Nöthen M, Sherva R, Farrer L, Smith A, Kranzler H, Rietschel M, Gelernter J, Niculescu A. Genetic risk prediction and neurobiological understanding of alcoholism. Translational Psychiatry 2014, 4: e391-e391. PMID: 24844177, PMCID: PMC4035721, DOI: 10.1038/tp.2014.29.Peer-Reviewed Original ResearchConceptsTop candidate genesCandidate genesGenetic risk predictionGenome-wide association study dataFunctional genomics approachConvergent functional genomics approachAssociation study dataGene expression dataInitial discovery stepGenomic approachesKey genesSignal transductionSignificant genetic overlapTop genesRelevant genesBiological pathwaysExpression dataTop findingsGenesStrict Bonferroni correctionGenetic overlapProtein knockout miceSmall panelFatty acidsKnockout mice
2008
Quantitative Trait Locus Analysis Identifies Rat Genomic Regions Related to Amphetamine-Induced Locomotion and Gαi3 Levels in Nucleus Accumbens
Potenza MN, Brodkin ES, Yang BZ, Birnbaum SG, Nestler EJ, Gelernter J. Quantitative Trait Locus Analysis Identifies Rat Genomic Regions Related to Amphetamine-Induced Locomotion and Gαi3 Levels in Nucleus Accumbens. Neuropsychopharmacology 2008, 33: 2735-2746. PMID: 18216777, PMCID: PMC2818767, DOI: 10.1038/sj.npp.1301667.Peer-Reviewed Original ResearchConceptsQuantitative trait lociRobust quantitative trait lociGenomic regionsChromosome 2Quantitative trait locus (QTL) analysisG protein levelsCommon genetic mechanismQTL patternsTrait lociRat genomic regionsGenetic mechanismsChromosome 3Locus analysisChromosome 13Genetic factorsGαi3LociAmphetamine-Induced LocomotionBetter understandingLocomotionRegionAnimal modelsSignificant implicationsLevelsNovelty-induced locomotion
2004
Setting Priorities for Genomic Research
Berrettini W, Bierut L, Crowley TJ, Cubells JF, Frascella J, Gelernter J, Hewitt JK, Kreek MJ, Lachman H, Leppert M, Li MD, Madden P, Miner C, Pollock JD, Pomerleau O, Rice JP, Rutter JL, Shurtleff D, Swan GE, Tischfield JA, Tsuang M, Uhl GR, Vanyukov M, Volkow ND, Wanke K. Setting Priorities for Genomic Research. Science 2004, 304: 1445-1447. PMID: 15178784, DOI: 10.1126/science.304.5676.1445c.Peer-Reviewed Original ResearchResults of a genomewide linkage scan: Support for chromosomes 9 and 11 loci increasing risk for cigarette smoking
Gelernter J, Liu X, Hesselbrock V, Page GP, Goddard A, Zhang H. Results of a genomewide linkage scan: Support for chromosomes 9 and 11 loci increasing risk for cigarette smoking. American Journal Of Medical Genetics Part B Neuropsychiatric Genetics 2004, 128B: 94-101. PMID: 15211640, DOI: 10.1002/ajmg.b.30019.Peer-Reviewed Original Research