Featured Publications
Genome-wide meta-analysis of problematic alcohol use in 435,563 individuals yields insights into biology and relationships with other traits
Zhou H, Sealock JM, Sanchez-Roige S, Clarke TK, Levey DF, Cheng Z, Li B, Polimanti R, Kember RL, Smith RV, Thygesen JH, Morgan MY, Atkinson SR, Thursz MR, Nyegaard M, Mattheisen M, Børglum AD, Johnson EC, Justice AC, Palmer AA, McQuillin A, Davis LK, Edenberg HJ, Agrawal A, Kranzler HR, Gelernter J. Genome-wide meta-analysis of problematic alcohol use in 435,563 individuals yields insights into biology and relationships with other traits. Nature Neuroscience 2020, 23: 809-818. PMID: 32451486, PMCID: PMC7485556, DOI: 10.1038/s41593-020-0643-5.Peer-Reviewed Original ResearchConceptsRegulatory genomic regionsGenome-wide association studiesNovel risk lociEuropean ancestry individualsPolygenic risk score analysisIndependent risk variantsGenetic architectureGenomic regionsRisk lociAssociation studiesGenetic relationshipsRisk genesGenetic correlationsPsychiatric traitsRisk variantsRisk score analysisTraitsGenetic heritabilityYields insightsBiobank samplesMendelian randomizationGenesLociBiologyHeritability
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 comparisonsPhenotypicPathwayAnnotationPolymorphismCharacterization
2021
Investigation of convergent and divergent genetic influences underlying schizophrenia and alcohol use disorder
Johnson EC, Kapoor M, Hatoum AS, Zhou H, Polimanti R, Wendt FR, Walters RK, Lai D, Kember RL, Hartz S, Meyers JL, Peterson RE, Ripke S, Bigdeli TB, Fanous AH, Pato CN, Pato MT, Goate AM, Kranzler HR, O'Donovan MC, Walters JTR, Gelernter J, Edenberg HJ, Agrawal A. Investigation of convergent and divergent genetic influences underlying schizophrenia and alcohol use disorder. Psychological Medicine 2021, 53: 1196-1204. PMID: 34231451, PMCID: PMC8738774, DOI: 10.1017/s003329172100266x.Peer-Reviewed Original ResearchConceptsGenome-wide association studiesGenome-wide significant single nucleotide polymorphismsLarge-scale genome-wide association studiesSignificant single nucleotide polymorphismsIndependent genome-wide significant single nucleotide polymorphismsSignificant genetic correlationsGenomic regionsSingle nucleotide polymorphismsGene expressionGenetic covariancePleiotropic associationsAssociation studiesGenetic correlationsGenetic variantsNucleotide polymorphismsGenetic overlapDisorder-specific effectsAlcohol use disorderGenetic influencesGenesUse disorders
2018
Discovery of the first genome-wide significant risk loci for attention deficit/hyperactivity disorder
Demontis D, Walters RK, Martin J, Mattheisen M, Als TD, Agerbo E, Baldursson G, Belliveau R, Bybjerg-Grauholm J, Bækvad-Hansen M, Cerrato F, Chambert K, Churchhouse C, Dumont A, Eriksson N, Gandal M, Goldstein JI, Grasby KL, Grove J, Gudmundsson OO, Hansen CS, Hauberg ME, Hollegaard MV, Howrigan DP, Huang H, Maller JB, Martin AR, Martin NG, Moran J, Pallesen J, Palmer DS, Pedersen CB, Pedersen MG, Poterba T, Poulsen JB, Ripke S, Robinson EB, Satterstrom FK, Stefansson H, Stevens C, Turley P, Walters GB, Won H, Wright MJ, Andreassen O, Asherson P, Burton C, Boomsma D, Cormand B, Dalsgaard S, Franke B, Gelernter J, Geschwind D, Hakonarson H, Haavik J, Kranzler H, Kuntsi J, Langley K, Lesch K, Middeldorp C, Reif A, Rohde L, Roussos P, Schachar R, Sklar P, Sonuga-Barke E, Sullivan P, Thapar A, Tung J, Waldman I, Medland S, Stefansson K, Nordentoft M, Hougaard D, Werge T, Mors O, Mortensen P, Daly M, Faraone S, Børglum A, Neale B. Discovery of the first genome-wide significant risk loci for attention deficit/hyperactivity disorder. Nature Genetics 2018, 51: 63-75. PMID: 30478444, PMCID: PMC6481311, DOI: 10.1038/s41588-018-0269-7.Peer-Reviewed Original ResearchConceptsGenome-wide significant risk lociFunction intolerant genesGenome-wide associationSignificant risk lociGenome-wide significanceAttention-deficit/hyperactivity disorderCommon genetic variantsGenomic regionsIntolerant genesIndependent lociRegulatory marksHeritable traitRisk lociDeficit/hyperactivity disorderGenetic variantsGenetic overlapStudy-specific differencesLociHyperactivity disorderImportant new informationUnderlying biologyChildhood behavioral disordersVariantsStrong concordanceGWAS
2015
Pervasive pleiotropy between psychiatric disorders and immune disorders revealed by integrative analysis of multiple GWAS
Wang Q, Yang C, Gelernter J, Zhao H. Pervasive pleiotropy between psychiatric disorders and immune disorders revealed by integrative analysis of multiple GWAS. Human Genetics 2015, 134: 1195-1209. PMID: 26340901, PMCID: PMC4630076, DOI: 10.1007/s00439-015-1596-8.Peer-Reviewed Original ResearchMeSH KeywordsArthritis, RheumatoidCentral Nervous SystemCrohn DiseaseGenetic PleiotropyGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansImmune System DiseasesMental DisordersNerve Tissue ProteinsOrgan SpecificityPolymorphism, Single NucleotideQuantitative Trait LociSchizophreniaSystems IntegrationConceptsImmune disordersPsychiatric disordersCrohn's diseaseDisorder pairsMHC regionPervasive pleiotropyIntegrative analysisGenome-wide association studiesImmune dysregulationImmunological mechanismsTreatment strategiesTraits/diseasesEpidemiological observationsPsychiatric diseasesBrain disordersSame effect directionDiseaseDisordersGenomic regionsRealm of psychiatryMost allelesStrong pleiotropyAnnotation resourcesChromosome 6Association studies
2012
Meta-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
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
Genomic regions controlling corticosterone levels in rats
Potenza MN, Brodkin ES, Joe B, Luo X, Remmers EF, Wilder RL, Nestler EJ, Gelernter J. Genomic regions controlling corticosterone levels in rats. Biological Psychiatry 2004, 55: 634-641. PMID: 15013833, DOI: 10.1016/j.biopsych.2003.11.005.Peer-Reviewed Original ResearchConceptsGenomic regionsQuantitative trait locus (QTL) analysisGenome-wide levelSpecific genomic regionsUnderstanding of susceptibilitySignificant QTLGenomic backgroundChromosome 4Locus analysisF2 progenyGenetic differencesSuggestive significanceDisease susceptibilityQTLFirst identificationCongenic animalsDeoxyribonucleic acidGenetic factorsProgenyIdentificationRegionSusceptibilityLevels
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