2021
Genome-wide association study of more than 40,000 bipolar disorder cases provides new insights into the underlying biology
Mullins N, Forstner AJ, O’Connell K, Coombes B, Coleman JRI, Qiao Z, Als TD, Bigdeli TB, Børte S, Bryois J, Charney AW, Drange OK, Gandal MJ, Hagenaars SP, Ikeda M, Kamitaki N, Kim M, Krebs K, Panagiotaropoulou G, Schilder BM, Sloofman LG, Steinberg S, Trubetskoy V, Winsvold BS, Won HH, Abramova L, Adorjan K, Agerbo E, Al Eissa M, Albani D, Alliey-Rodriguez N, Anjorin A, Antilla V, Antoniou A, Awasthi S, Baek JH, Bækvad-Hansen M, Bass N, Bauer M, Beins EC, Bergen SE, Birner A, Bøcker Pedersen C, Bøen E, Boks MP, Bosch R, Brum M, Brumpton BM, Brunkhorst-Kanaan N, Budde M, Bybjerg-Grauholm J, Byerley W, Cairns M, Casas M, Cervantes P, Clarke TK, Cruceanu C, Cuellar-Barboza A, Cunningham J, Curtis D, Czerski PM, Dale AM, Dalkner N, David FS, Degenhardt F, Djurovic S, Dobbyn AL, Douzenis A, Elvsåshagen T, Escott-Price V, Ferrier IN, Fiorentino A, Foroud TM, Forty L, Frank J, Frei O, Freimer NB, Frisén L, Gade K, Garnham J, Gelernter J, Giørtz Pedersen M, Gizer IR, Gordon SD, Gordon-Smith K, Greenwood TA, Grove J, Guzman-Parra J, Ha K, Haraldsson M, Hautzinger M, Heilbronner U, Hellgren D, Herms S, Hoffmann P, Holmans PA, Huckins L, Jamain S, Johnson JS, Kalman JL, Kamatani Y, Kennedy JL, Kittel-Schneider S, Knowles JA, Kogevinas M, Koromina M, Kranz TM, Kranzler HR, Kubo M, Kupka R, Kushner SA, Lavebratt C, Lawrence J, Leber M, Lee HJ, Lee PH, Levy SE, Lewis C, Liao C, Lucae S, Lundberg M, MacIntyre DJ, Magnusson SH, Maier W, Maihofer A, Malaspina D, Maratou E, Martinsson L, Mattheisen M, McCarroll SA, McGregor NW, McGuffin P, McKay JD, Medeiros H, Medland SE, Millischer V, Montgomery GW, Moran JL, Morris DW, Mühleisen TW, O’Brien N, O’Donovan C, Olde Loohuis LM, Oruc L, Papiol S, Pardiñas AF, Perry A, Pfennig A, Porichi E, Potash JB, Quested D, Raj T, Rapaport MH, DePaulo JR, Regeer EJ, Rice JP, Rivas F, Rivera M, Roth J, Roussos P, Ruderfer DM, Sánchez-Mora C, Schulte EC, Senner F, Sharp S, Shilling PD, Sigurdsson E, Sirignano L, Slaney C, Smeland OB, Smith DJ, Sobell JL, Søholm Hansen C, Soler Artigas M, Spijker AT, Stein DJ, Strauss JS, Świątkowska B, Terao C, Thorgeirsson TE, Toma C, Tooney P, Tsermpini EE, Vawter MP, Vedder H, Walters JTR, Witt SH, Xi S, Xu W, Yang JMK, Young AH, Young H, Zandi PP, Zhou H, Zillich L, Adolfsson R, Agartz I, Alda M, Alfredsson L, Babadjanova G, Backlund L, Baune B, Bellivier F, Bengesser S, Berrettini W, Blackwood D, Boehnke M, Børglum A, Breen G, Carr V, Catts S, Corvin A, Craddock N, Dannlowski U, Dikeos D, Esko T, Etain B, Ferentinos P, Frye M, Fullerton J, Gawlik M, Gershon E, Goes F, Green M, Grigoroiu-Serbanescu M, Hauser J, Henskens F, Hillert J, Hong K, Hougaard D, Hultman C, Hveem K, Iwata N, Jablensky A, Jones I, Jones L, Kahn R, Kelsoe J, Kirov G, Landén M, Leboyer M, Lewis C, Li Q, Lissowska J, Lochner C, Loughland C, Martin N, Mathews C, Mayoral F, McElroy S, McIntosh A, McMahon F, Melle I, Michie P, Milani L, Mitchell P, Morken G, Mors O, Mortensen P, Mowry B, Müller-Myhsok B, Myers R, Neale B, Nievergelt C, Nordentoft M, Nöthen M, O’Donovan M, Oedegaard K, Olsson T, Owen M, Paciga S, Pantelis C, Pato C, Pato M, Patrinos G, Perlis R, Posthuma D, Ramos-Quiroga J, Reif A, Reininghaus E, Ribasés M, Rietschel M, Ripke S, Rouleau G, Saito T, Schall U, Schalling M, Schofield P, Schulze T, Scott L, Scott R, Serretti A, Shannon Weickert C, Smoller J, Stefansson H, Stefansson K, Stordal E, Streit F, Sullivan P, Turecki G, Vaaler A, Vieta E, Vincent J, Waldman I, Weickert T, Werge T, Wray N, Zwart J, Biernacka J, Nurnberger J, Cichon S, Edenberg H, Stahl E, McQuillin A, Di Florio A, Ophoff R, Andreassen O. Genome-wide association study of more than 40,000 bipolar disorder cases provides new insights into the underlying biology. Nature Genetics 2021, 53: 817-829. PMID: 34002096, PMCID: PMC8192451, DOI: 10.1038/s41588-021-00857-4.Peer-Reviewed Original ResearchConceptsAssociation studiesQuantitative trait loci dataExpression quantitative trait loci (eQTL) dataGenome-wide association studiesBipolar disorder casesBrain-expressed genesWide association studyHeritable mental illnessSynaptic signaling pathwaysGenomic lociTargets of antipsychoticsLoci dataImperfect genetic correlationGene expressionSignaling pathwaysFunctional followGenesGenetic correlationsDruggable targetsSignal enrichmentEuropean ancestryLociBipolar disorder risk allelesNew insightsTherapeutic leads
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
Genome-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
2016
Evidence of Polygenic Adaptation in the Systems Genetics of Anthropometric Traits
Polimanti R, Yang BZ, Zhao H, Gelernter J. Evidence of Polygenic Adaptation in the Systems Genetics of Anthropometric Traits. PLOS ONE 2016, 11: e0160654. PMID: 27537407, PMCID: PMC4990182, DOI: 10.1371/journal.pone.0160654.Peer-Reviewed Original ResearchConceptsPolygenic adaptationNatural selectionSystems geneticsProtein interaction networksWide association studyPolygenic mechanismsEuropean populationsPolygenic selectionAnthropometric traitsGene networksHuman genomeEpistatic interactionsInteraction networksEnrichment analysisGenetic signaturesSystems biologyAssociation studiesLipid transportMolecular processesAdaptation signalsLocomotory behaviorTraitsSelective mechanismGeneticsInfection resistance
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 analysis
2013
Variant Callers for Next-Generation Sequencing Data: A Comparison Study
Liu X, Han S, Wang Z, Gelernter J, Yang BZ. Variant Callers for Next-Generation Sequencing Data: A Comparison Study. PLOS ONE 2013, 8: e75619. PMID: 24086590, PMCID: PMC3785481, DOI: 10.1371/journal.pone.0075619.Peer-Reviewed Original Research
2012
Hypermethylation of OPRM1 promoter region in European Americans with alcohol dependence
Zhang H, Herman AI, Kranzler HR, Anton RF, Simen AA, Gelernter J. Hypermethylation of OPRM1 promoter region in European Americans with alcohol dependence. Journal Of Human Genetics 2012, 57: 670-675. PMID: 22914673, PMCID: PMC3481015, DOI: 10.1038/jhg.2012.98.Peer-Reviewed Original ResearchMeSH KeywordsAdultAlcoholismCase-Control StudiesCocaine-Related DisordersComorbidityCpG IslandsDNA MethylationFemaleGenetic Predisposition to DiseaseGenetics, PopulationGenome, HumanHumansMaleMarijuana AbuseMiddle AgedMultivariate AnalysisPromoter Regions, GeneticReceptors, Opioid, muRisk FactorsSequence Analysis, DNAWhite PeopleConceptsChildhood adversityOPRM1 promoter regionAD casesΜ-opioid receptor geneSubstance dependence disordersΜ-opioid receptorDays of intoxicationEffects of alcoholEuropean American controlsPromoter methylation levelsPeripheral bloodMethylation levelsDependence disordersAlcohol dependenceMultivariate analysisPromoter regionPromoter hypermethylationReceptor geneIllicit drugsEuropean AmericansMultiple comparisonsBisulfite sequencing analysisOverall methylation levelsAmerican controlsSexMeta-analyses of genome-wide linkage scans of anxiety-related phenotypes
Webb BT, Guo AY, Maher BS, Zhao Z, van den Oord EJ, Kendler KS, Riley BP, Gillespie NA, Prescott CA, Middeldorp CM, Willemsen G, de Geus EJ, Hottenga JJ, Boomsma DI, Slagboom EP, Wray NR, Montgomery GW, Martin NG, Wright MJ, Heath AC, Madden PA, Gelernter J, Knowles JA, Hamilton SP, Weissman MM, Fyer AJ, Huezo-Diaz P, McGuffin P, Farmer A, Craig IW, Lewis C, Sham P, Crowe RR, Flint J, Hettema JM. Meta-analyses of genome-wide linkage scans of anxiety-related phenotypes. European Journal Of Human Genetics 2012, 20: 1078-1084. PMID: 22473089, PMCID: PMC3449070, DOI: 10.1038/ejhg.2012.47.Peer-Reviewed Original ResearchConceptsGenome-wide linkage scanGenome-wide linkage dataGenome-wide association dataGenome-wide significanceAnxiety-related phenotypesGenomic regionsLinkage scanCM intervalChromosome 1Studies of neuroticismFalse discovery rate analysisChromosome 9Association dataLinkage dataPhenotypeMeta-analysis approachConsistent signalFDR thresholdGenetic factorsGenetic susceptibilitySuch hypothesesGenomeValuable approachGenesTraits
2008
Addictions Biology: Haplotype-Based Analysis for 130 Candidate Genes on a Single Array
Hodgkinson CA, Yuan Q, Xu K, Shen PH, Heinz E, Lobos EA, Binder EB, Cubells J, Ehlers CL, Gelernter J, Mann J, Riley B, Roy A, Tabakoff B, Todd RD, Zhou Z, Goldman D. Addictions Biology: Haplotype-Based Analysis for 130 Candidate Genes on a Single Array. Alcohol And Alcoholism 2008, 43: 505-515. PMID: 18477577, PMCID: PMC2724863, DOI: 10.1093/alcalc/agn032.Peer-Reviewed Original ResearchConceptsWhole-genome arraysCandidate genesHigh-quality SNPsGene of interestAncestry informative markersCase/control populationInformative markersHigh-throughput assaysAverage call rateComparison of haplotypesCall rateFull haplotype informationHaplotype-based analysisHaplotype coverageHaplotype informationGenesThroughput assaysSNPsDNA qualityTag SNPsHaplotypesReplication rateSubstance dependence low-density whole genome association study in two distinct American populations
Yu Y, Kranzler HR, Panhuysen C, Weiss RD, Poling J, Farrer LA, Gelernter J. Substance dependence low-density whole genome association study in two distinct American populations. Human Genetics 2008, 123: 495. PMID: 18438686, PMCID: PMC3428017, DOI: 10.1007/s00439-008-0501-0.Peer-Reviewed Original ResearchConceptsSingle nucleotide polymorphism (SNP) markersWhole-genome association studiesFuture candidate gene studiesGenome association studiesCandidate gene studiesPotential biological relevancePolymorphism markersGenetic basisAssociation studiesGenetic markersHigh heritabilityGene studiesCocaine-induced paranoiaBiological relevanceGenesComplex disorderNew hypothesisFamilyAmerican populationGeneticsHeritabilityMarkers
2005
Genomewide linkage scan for cocaine dependence and related traits: Significant linkages for a cocaine‐related trait and cocaine‐induced paranoia
Gelernter J, Panhuysen C, Weiss R, Brady K, Hesselbrock V, Rounsaville B, Poling J, Wilcox M, Farrer L, Kranzler HR. Genomewide linkage scan for cocaine dependence and related traits: Significant linkages for a cocaine‐related trait and cocaine‐induced paranoia. American Journal Of Medical Genetics Part B Neuropsychiatric Genetics 2005, 136B: 45-52. PMID: 15909294, DOI: 10.1002/ajmg.b.30189.Peer-Reviewed Original Research
2003
The Structure of Linkage Disequilibrium at the DBH Locus Strongly Influences the Magnitude of Association between Diallelic Markers and Plasma Dopamine β-Hydroxylase Activity
Zabetian CP, Buxbaum SG, Elston RC, Köhnke MD, Anderson GM, Gelernter J, Cubells JF. The Structure of Linkage Disequilibrium at the DBH Locus Strongly Influences the Magnitude of Association between Diallelic Markers and Plasma Dopamine β-Hydroxylase Activity. American Journal Of Human Genetics 2003, 72: 1389-1400. PMID: 12730829, PMCID: PMC1180300, DOI: 10.1086/375499.Peer-Reviewed Original ResearchConceptsQuantitative trait lociHuman genomeDBH locusLow haplotype diversityTotal phenotypic varianceLarge-scale association studiesLinkage disequilibrium mappingDiallelic markersPutative functional polymorphismsComplex traitsHaplotype diversityGenomewide scaleObserved chromosomesHaplotype mapPhenotypic varianceGenomewide basisDegree of LDAssociation studiesDisequilibrium mappingUpstream regionHaplotype blocksLinkage disequilibriumLociDistinct populationsGenome
2001
Linkage genome scan for loci predisposing to panic disorder or agoraphobia
Gelernter J, Bonvicini K, Page G, Woods S, Goddard A, Kruger S, Pauls D, Goodson S. Linkage genome scan for loci predisposing to panic disorder or agoraphobia. American Journal Of Medical Genetics 2001, 105: 548-557. PMID: 11496373, DOI: 10.1002/ajmg.1496.Peer-Reviewed Original ResearchMeSH KeywordsAgoraphobiaChromosome MappingChromosomes, Human, Pair 1Chromosomes, Human, Pair 11Chromosomes, Human, Pair 14Chromosomes, Human, Pair 3Chromosomes, Human, Pair 4Family HealthFemaleGenetic Predisposition to DiseaseGenome, HumanHumansLod ScoreMaleMicrosatellite RepeatsPanic DisorderPedigreeConceptsLinkage genome scanGenome scanChromosome 3LOD scoreSuggestive linkagePrevious genome scanComplex traitsGenomic regionsHeritable anxiety disordersGenetic lociMultipoint LOD scoreCandidate genesRisk lociChromosome 1Chromosome 11pSusceptibility lociLociStatistical supportLinkage resultsNPL analysisPotential lociNPL scoreAmerican pedigreesSingle familyPotential linkage
1989
Report of the DNA committee and catalogs of cloned and mapped genes and DNA polymorphisms pp. 622-643
Kidd KK, Bowcock AM, Schmidtke J, Track RK, Ricciuti F, Hutchings G, Bale A, Pearson P, Willard HF, Gelernter J, Giuffra L, Kubzdela K. Report of the DNA committee and catalogs of cloned and mapped genes and DNA polymorphisms pp. 622-643. Cytogenetic And Genome Research 1989, 51: 622-643. PMID: 2676386, DOI: 10.1159/000132810.Peer-Reviewed Original ResearchMeSH KeywordsChromosome MappingCloning, MolecularDNAGenome, HumanGenomic LibraryHumansPolymorphism, Genetic