2025
Implications of gene Ă— environment interactions in post-traumatic stress disorder risk and treatment
Seah C, Sidamon-Eristoff A, Huckins L, Brennand K. Implications of gene Ă— environment interactions in post-traumatic stress disorder risk and treatment. Journal Of Clinical Investigation 2025, 135: e185102. PMID: 40026250, PMCID: PMC11870735, DOI: 10.1172/jci185102.Peer-Reviewed Original ResearchConceptsPost-traumatic stress disorderGene x environment interactionsGenetic component of riskLimitations of genetic studiesTreating post-traumatic stress disorderExposure to traumatic stressPost-traumatic stress disorder riskInteraction of traumaGenetic screeningGenetic studiesGenetic componentEnvironment interactionMolecular mechanismsStress disorderPTSD riskTraumatic exposureTraumatic stressTraumatic experiencesDisorder riskGenetic factorsNovel therapeuticsBiological mechanismsGWASGeneral populationGenes
2024
Author Correction: Modeling gene Ă— environment interactions in PTSD using human neurons reveals diagnosis-specific glucocorticoid-induced gene expression
Seah C, Breen M, Rusielewicz T, Bader H, Xu C, Hunter C, McCarthy B, Deans P, Chattopadhyay M, Goldberg J, Dobariya S, Desarnaud F, Makotkine I, Flory J, Bierer L, Staniskyte M, Noggle S, Huckins L, Paull D, Brennand K, Yehuda R. Author Correction: Modeling gene Ă— environment interactions in PTSD using human neurons reveals diagnosis-specific glucocorticoid-induced gene expression. Nature Neuroscience 2024, 28: 214-214. PMID: 39633181, PMCID: PMC11706769, DOI: 10.1038/s41593-024-01854-6.Peer-Reviewed Original Research42. STRESS EXPOSURE DYNAMICALLY REGULATES EQTL ACTIVITY IN THE POST-MORTEM BRAIN AND IN HIPSC-DERIVED NEURONS
Seah C, Signer R, Young H, Hicks E, Rusielewicz T, Bader H, Xu C, Breen M, Paull D, Yehuda R, Girgenti M, Brennand K, Huckins L. 42. STRESS EXPOSURE DYNAMICALLY REGULATES EQTL ACTIVITY IN THE POST-MORTEM BRAIN AND IN HIPSC-DERIVED NEURONS. European Neuropsychopharmacology 2024, 87: 71-72. DOI: 10.1016/j.euroneuro.2024.08.156.Peer-Reviewed Original ResearchPost-mortem brainsTranscription factor binding sitesAbsence of cellular stressCombat-exposed veteransFactor binding sitesImpact gene expressionBinding sitesGR binding sitesPositive regulatory activityMotif enrichmentSequence readsCRISPRi screenOpen chromatinFunctional annotationBrain regionsTraumatic stressCRISPR screensEQTLTraumatic experiencesLeading locusPTSDPerturbed genesRegulatory architectureTranscriptomic activityTranscriptomic response209 Transcriptomic Analysis of the Post-mortem Brain in Intracranial Atherosclerosis Implicates Interferon Signaling
Seah C, Devarajan A, Jurczyszak D, Chakka A, Huckins L, Brennand K, Girgenti M. 209 Transcriptomic Analysis of the Post-mortem Brain in Intracranial Atherosclerosis Implicates Interferon Signaling. Neurosurgery 2024, 70: 55-56. DOI: 10.1227/neu.0000000000002809_209.Peer-Reviewed Original ResearchIntracranial atherosclerotic stenosisIntracranial arteriesInterferon-inducible genesInterferon signalingPeripheral atherosclerosisCerebral atherosclerosisExpression of interferon-inducible genesGlial cellsSymptomatic intracranial atherosclerotic stenosisInduced pluripotent stem cellsPost-mortem brainsWorsened functional outcomesHuman induced pluripotent stem cellsUpregulation of interferon inducible genesCause of ischemic strokePluripotent stem cellsRisk of atherosclerosisLipid-rich plaquesRisk factor managementClinical outcomesPoor prognosisExcitatory neuronsIncreased morbidityHistopathological profileFunctional outcomesDissecting the biology of feeding and eating disorders
Huckins L, Brennand K, Bulik C. Dissecting the biology of feeding and eating disorders. Trends In Molecular Medicine 2024, 30: 380-391. PMID: 38431502, DOI: 10.1016/j.molmed.2024.01.009.Peer-Reviewed Original ResearchGenome-wide association studiesVariants to genesGenes to pathwaysSignificant lociFunctional genomicsAssociation studiesGenetic relationshipsIntestinal microbiotaGenetic researchGenomeGenetic correlationsGenesMetabolic contributorsAnorexia nervosaEating disordersPathwayBiologyMetabolic outcomesRisk factorsLociMicrobiotaPhenomicsLethal illnessTraitsFeeding
2023
56. USING HIPSC-NEURONS AND CRISPR TO UNCOVER NON-ADDITIVE EFFECTS OF SCZ RISK GENES
Deans M, Seah C, Johnson J, GarcĂa-González J, Townsley K, Cao E, Schrode N, Stahl E, O'Reilly P, Huckins L, Brennand K. 56. USING HIPSC-NEURONS AND CRISPR TO UNCOVER NON-ADDITIVE EFFECTS OF SCZ RISK GENES. European Neuropsychopharmacology 2023, 75: s86. DOI: 10.1016/j.euroneuro.2023.08.162.Peer-Reviewed Original ResearchSCZ risk genesNon-additive effectsRisk genesCombinatorial perturbationsTranscriptomic effectsFunctional roleRisk variantsGene expression changesBulk RNA-seqMultiple functional rolesSynaptic functionHigh-throughput imagingFunctional redundancyTranscriptional regulatorsRNA-seqCRISPR activationCellular phenotypesRNA interferenceEGenesGene expressionExpression changesHiPSC neuronsPolygenic risk scoresGenetic studiesGenesSTRESS IN A DISH: MODELING THE IMPACT OF COMMON GENETIC VARIATION ON STRESS RESPONSE IN HIPSC-DERIVED NEURONS IN PTSD
Seah C, Signer R, Young H, Kozik E, Rusielewicz T, Bader H, Xu C, de Pins A, Breen M, Paull D, Yehuda R, Girgenti M, Brennand K, Huckins L. STRESS IN A DISH: MODELING THE IMPACT OF COMMON GENETIC VARIATION ON STRESS RESPONSE IN HIPSC-DERIVED NEURONS IN PTSD. European Neuropsychopharmacology 2023, 75: s40. DOI: 10.1016/j.euroneuro.2023.08.081.Peer-Reviewed Original ResearchCommon genetic variationGenetic variationStress responseCell typesEQTL associationsTranscriptional stress responseGenomic risk lociTissue-specific mannerChIP-seq datasetsCell type deconvolutionCommon genetic variantsPost-mortem brainsGene expression signaturesHiPSC-derived neuronsTranscription factorsSuch lociCatalog genesRisk lociGenetic studiesExpression signaturesGenetic variantsRegulatory activityGenesEQTLsMechanistic understanding29. GENE EXPRESSION ASSOCIATIONS WITH TRAUMA IN HUMAN POSTMORTEM BRAIN
Hicks E, Seah C, Cote A, Ciarcia J, Chakka A, Group T, Brennand K, Nestler E, Girgenti M, Huckins L. 29. GENE EXPRESSION ASSOCIATIONS WITH TRAUMA IN HUMAN POSTMORTEM BRAIN. European Neuropsychopharmacology 2023, 75: s72. DOI: 10.1016/j.euroneuro.2023.08.139.Peer-Reviewed Original ResearchMajor depressive disorderPost-traumatic stress disorderHuman postmortem brainPostmortem brainsPsychiatric disordersNeurobiological consequencesTranscriptional signatureMajor precipitating factorEarly life stressCase/control statusGene expression associationsType of traumaStress-related disordersTrauma measuresTrauma-exposed individualsTraumatic Stress DisorderExpression associationsBrain donorsDepressive disorderMale miceFrontal cortexPrecipitating factorsMouse modelAnimal modelsPsychosocial stressMASSIVELY PARALLEL CHARACTERIZATION OF CONTEXT SPECIFIC REGULATORY RISK ELEMENTS ACROSS PSYCHIATRIC DISORDERS IN HUMAN-INDUCED PLURIPOTENT STEM CELL-DERIVED GLUTAMATERGIC NEURONS
Townsley K, Sen A, Lee J, Deans P, Jia M, Fernandez-Garcia M, Cartwright S, Cohen S, Goate A, Brennand K, Huckins L. MASSIVELY PARALLEL CHARACTERIZATION OF CONTEXT SPECIFIC REGULATORY RISK ELEMENTS ACROSS PSYCHIATRIC DISORDERS IN HUMAN-INDUCED PLURIPOTENT STEM CELL-DERIVED GLUTAMATERGIC NEURONS. European Neuropsychopharmacology 2023, 75: s7-s8. DOI: 10.1016/j.euroneuro.2023.08.022.Peer-Reviewed Original ResearchCandidate regulatory sequencesExpression quantitative trait lociRegulatory sequencesTranscriptional activityGWAS statisticsSingle-cell CRISPR screensCell type-specific mannerParallel reporter assaysQuantitative trait lociPutative regulatory elementsHigh-throughput sequencingFine-mapping approachFine-mapping methodsLarge-scale identificationFunctional impactTranscriptomic imputationTrait lociKey genesCRISPR screensLarge-scale screening techniquesRegulatory elementsNeuropsychiatric traitsCausal SNPsReporter assaysCasual variantsModeling Gene by Environment Interactions in Post-Traumatic Stress Disorder Across the Post-Mortem Brain and in hiPSC-Derived Neurons
Seah C, Signer R, Young H, Rusielewicz T, Bader H, Xu C, dePins A, Breen M, Paull D, Girgenti M, Yehuda R, Brennand K, Huckins L. Modeling Gene by Environment Interactions in Post-Traumatic Stress Disorder Across the Post-Mortem Brain and in hiPSC-Derived Neurons. Biological Psychiatry 2023, 93: s11. DOI: 10.1016/j.biopsych.2023.02.048.Peer-Reviewed Original ResearchIntegrating genetics and transcriptomics to study major depressive disorder: a conceptual framework, bioinformatic approaches, and recent findings
Hicks E, Seah C, Cote A, Marchese S, Brennand K, Nestler E, Girgenti M, Huckins L. Integrating genetics and transcriptomics to study major depressive disorder: a conceptual framework, bioinformatic approaches, and recent findings. Translational Psychiatry 2023, 13: 129. PMID: 37076454, PMCID: PMC10115809, DOI: 10.1038/s41398-023-02412-7.Peer-Reviewed Original ResearchConceptsBioinformatics approachTranscriptomic dataBrain transcriptomeGenome-wide analysisDynamic transcriptional landscapeBrain gene expression dataGene expression dataTranscriptional landscapeTranscriptomic studiesIntegrating GeneticExpression dataPhenotypic signaturesGenomic driversTranscriptomeMajor depressive disorderValuable resourceRecent findingsEnvironmental influencesTranscriptomicsDepressive disorderGeneticsMultiple approachesPathophysiology of depressionSignaturesDysregulation
2022
Reduced LYNX1 expression in transcriptome of human iPSC-derived neural progenitors modeling fragile X syndrome
Talvio K, Minkeviciene R, Townsley K, Achuta V, Huckins L, Corcoran P, Brennand K, Castrén M. Reduced LYNX1 expression in transcriptome of human iPSC-derived neural progenitors modeling fragile X syndrome. Frontiers In Cell And Developmental Biology 2022, 10: 1034679. PMID: 36506088, PMCID: PMC9731341, DOI: 10.3389/fcell.2022.1034679.Peer-Reviewed Original ResearchInduced pluripotent stem cellsFragile X syndromeHuman induced pluripotent stem cellsNeural progenitorsX syndromeEarly gene expression changesGene expression changesPatient-derived induced pluripotent stem cellsTriplet repeat instabilityFunctional enrichment analysisHuman neural progenitorsPluripotent stem cellsRNA splicingPhenotypic variationIntellectual disability syndromeEnrichment analysisExpression changesRepeat instabilityMolecular mechanismsProtein resultsGrowth factor pathwaysInsulin-like growth factor (IGF) pathwayAltered expressionStem cellsTranscriptomeModeling gene × environment interactions in PTSD using human neurons reveals diagnosis-specific glucocorticoid-induced gene expression
Seah C, Breen M, Rusielewicz T, Bader H, Xu C, Hunter C, McCarthy B, Deans P, Chattopadhyay M, Goldberg J, Dobariya S, Desarnaud F, Makotkine I, Flory J, Bierer L, Staniskyte M, Noggle S, Huckins L, Paull D, Brennand K, Yehuda R. Modeling gene Ă— environment interactions in PTSD using human neurons reveals diagnosis-specific glucocorticoid-induced gene expression. Nature Neuroscience 2022, 25: 1434-1445. PMID: 36266471, PMCID: PMC9630117, DOI: 10.1038/s41593-022-01161-y.Peer-Reviewed Original ResearchConceptsPost-traumatic stress disorderPeripheral blood mononuclear cellsGlucocorticoid-induced changesGlucocorticoid-induced gene expressionBlood mononuclear cellsIndividual clinical outcomesEnvironmental risk factorsHuman postmortem brainGlucocorticoid hypersensitivityClinical outcomesGlutamatergic neuronsMononuclear cellsRisk factorsHydrocortisone exposureSevere traumaPostmortem brainsHuman neuronsGlucocorticoid responseInduced neuronsStress disorderNeuronsNew therapeuticsGene expressionGene Ă— environment interactionsCombat veteransStem Cell Models for Context-Specific Modeling in Psychiatric Disorders
Seah C, Huckins L, Brennand K. Stem Cell Models for Context-Specific Modeling in Psychiatric Disorders. Biological Psychiatry 2022, 93: 642-650. PMID: 36658083, DOI: 10.1016/j.biopsych.2022.09.033.Peer-Reviewed Original ResearchConceptsStem cell modelCell typesTarget genesGenome-wide association study (GWAS) lociExpression quantitative trait lociGenome-wide association studiesParallel reporter assaysQuantitative trait lociStem cell-derived cell typesPluripotent stem cell modelsComplex polygenic architectureContext-specific mannerPsychiatric disorder riskTrait lociRegulates transcriptionStudy lociGenetic regulationPolygenic architectureCRISPR screensCell modelCausal variantsRegulated expressionPatient-specific humanReporter assaysAssociation studies
2021
19. GENETIC RISK ARCHITECTURE OF SCHIZOPHRENIA AND THREE-DIMENSIONAL CHROMATIN DYNAMICS ACROSS NEUROTRANSMITTER SYSTEMS
Powell S, O'Shea C, Townsley K, Dobrindt K, Elahi R, Prytkova I, Slesinger P, Huckins L, Akbarian S, Brennand K. 19. GENETIC RISK ARCHITECTURE OF SCHIZOPHRENIA AND THREE-DIMENSIONAL CHROMATIN DYNAMICS ACROSS NEUROTRANSMITTER SYSTEMS. European Neuropsychopharmacology 2021, 51: e50. DOI: 10.1016/j.euroneuro.2021.07.111.ChaptersInduction of dopaminergic neurons for neuronal subtype-specific modeling of psychiatric disease risk
Powell SK, O’Shea C, Townsley K, Prytkova I, Dobrindt K, Elahi R, Iskhakova M, Lambert T, Valada A, Liao W, Ho SM, Slesinger PA, Huckins LM, Akbarian S, Brennand KJ. Induction of dopaminergic neurons for neuronal subtype-specific modeling of psychiatric disease risk. Molecular Psychiatry 2021, 28: 1970-1982. PMID: 34493831, PMCID: PMC8898985, DOI: 10.1038/s41380-021-01273-0.Peer-Reviewed Original ResearchConceptsInduced dopaminergic neuronsDopaminergic neuronsMidbrain dopaminergic neuron developmentNeuron identityHuman induced pluripotent stem cellsCannabis use disorderDopaminergic neuron developmentAction potential durationGlutamatergic neuronsDopamine synthesisSpontaneous burstsPotential durationUse disordersNeuronal subtypesPsychiatric diseasesBipolar disorderElectrophysiological propertiesDisease riskHyperpolarization potentialPsychiatric disease riskNeuron developmentOscillatory activityNeuronsHeterogenous cell populationsCell populations
2020
Massively parallel techniques for cataloguing the regulome of the human brain
Townsley KG, Brennand KJ, Huckins LM. Massively parallel techniques for cataloguing the regulome of the human brain. Nature Neuroscience 2020, 23: 1509-1521. PMID: 33199899, PMCID: PMC8018778, DOI: 10.1038/s41593-020-00740-1.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsConceptsRegulatory elementsTarget genesParallel reporter assaysPutative regulatory elementsNon-coding regionsDisease-associated lociSpecific expression patternsCandidate risk lociPluripotent stem cellsHigh-throughput assaysRelevant molecular pathwaysTranscriptional responseRegulatory architectureRisk lociExpression patternsReporter assaysComplex brain disordersMolecular pathwaysRegulomeStem cellsRisk architectureGenetic riskGenesLociGenetic diagnosis
2019
Synergistic effects of common schizophrenia risk variants
Schrode N, Ho SM, Yamamuro K, Dobbyn A, Huckins L, Matos MR, Cheng E, Deans PJM, Flaherty E, Barretto N, Topol A, Alganem K, Abadali S, Gregory J, Hoelzli E, Phatnani H, Singh V, Girish D, Aronow B, Mccullumsmith R, Hoffman GE, Stahl EA, Morishita H, Sklar P, Brennand KJ. Synergistic effects of common schizophrenia risk variants. Nature Genetics 2019, 51: 1475-1485. PMID: 31548722, PMCID: PMC6778520, DOI: 10.1038/s41588-019-0497-5.Peer-Reviewed Original ResearchMeSH KeywordsChloride ChannelsCRISPR-Cas SystemsFemaleFurinGene EditingGene Expression RegulationGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansInduced Pluripotent Stem CellsMaleMonomeric Clathrin Assembly ProteinsPolymorphism, Single NucleotideQuantitative Trait LociSchizophreniaSNARE ProteinsConceptsExpression quantitative trait lociComplex genetic disorderEQTL genesCommon variantsQuantitative trait lociRisk variantsGene expression differencesPsychiatric disease riskCommon risk variantsPluripotent stem cellsSchizophrenia risk variantsGenetic disordersTrait lociGene perturbationsGenetic approachesExpression differencesGene editingStem cellsGeneralizable phenomenonSynaptic functionGenesVariantsCRISPRLociSpecific effects
2018
Landscape of Conditional eQTL in Dorsolateral Prefrontal Cortex and Co-localization with Schizophrenia GWAS
Dobbyn A, Huckins L, Boocock J, Sloofman L, Glicksberg B, Giambartolomei C, Hoffman G, Perumal T, Girdhar K, Jiang Y, Raj T, Ruderfer D, Kramer R, Pinto D, Akbarian S, Roussos P, Domenici E, Devlin B, Sklar P, Stahl E, Sieberts S, Sklar P, Buxbaum J, Devlin B, Lewis D, Gur R, Hahn C, Hirai K, Toyoshiba H, Domenici E, Essioux L, Mangravite L, Peters M, Lehner T, Lipska B, Cicek A, Lu C, Roeder K, Xie L, Talbot K, Hemby S, Essioux L, Browne A, Chess A, Topol A, Charney A, Dobbyn A, Readhead B, Zhang B, Pinto D, Bennett D, Kavanagh D, Ruderfer D, Stahl E, Schadt E, Hoffman G, Shah H, Zhu J, Johnson J, Fullard J, Dudley J, Girdhar K, Brennand K, Sloofman L, Huckins L, Fromer M, Mahajan M, Roussos P, Akbarian S, Purcell S, Hamamsy T, Raj T, Haroutunian V, Wang Y, GĂĽmĂĽĹź Z, Senthil G, Kramer R, Logsdon B, Derry J, Dang K, Sieberts S, Perumal T, Visintainer R, Shinobu L, Sullivan P, Klei L. Landscape of Conditional eQTL in Dorsolateral Prefrontal Cortex and Co-localization with Schizophrenia GWAS. American Journal Of Human Genetics 2018, 102: 1169-1184. PMID: 29805045, PMCID: PMC5993513, DOI: 10.1016/j.ajhg.2018.04.011.Peer-Reviewed Original ResearchConceptsExpression quantitative trait lociConditional expression quantitative trait lociCommonMind ConsortiumEQTL signalsGenome-wide association study (GWAS) lociSchizophrenia GWASContext-specific regulationQuantitative trait lociCo-localization analysisGene expression levelsGWAS associationsNovel genesTrait lociStudy lociCausal genesEQTL dataFine mappingGenomic featuresGWAS statisticsGene expressionGenesGWASLociExpression levelsHuman brain samples
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