Featured Publications
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
2020
Integration of CRISPR-engineering and hiPSC-based models of psychiatric genomics
Matos MR, Ho SM, Schrode N, Brennand KJ. Integration of CRISPR-engineering and hiPSC-based models of psychiatric genomics. Molecular And Cellular Neuroscience 2020, 107: 103532. PMID: 32712198, PMCID: PMC7484226, DOI: 10.1016/j.mcn.2020.103532.Peer-Reviewed Original ResearchConceptsPenetrant rare variantsDisease-associated variantsNeuronal cell typesPluripotent stem cellsGenomic engineeringFunctional characterizationComplex geneticsCRISPR engineeringCRISPR technologyIsogenic comparisonsPsychiatric genomicsCell typesGenetic variantsStem cellsIndividual variantsCommon variantsPolygenic disorderRare variantsVariantsComplex interplayGenomicsGenetic riskPleiotropyCRISPRGeneticsIntegrating CRISPR Engineering and hiPSC-Derived 2D Disease Modeling Systems
Rehbach K, Fernando MB, Brennand KJ. Integrating CRISPR Engineering and hiPSC-Derived 2D Disease Modeling Systems. Journal Of Neuroscience 2020, 40: 1176-1185. PMID: 32024766, PMCID: PMC7002154, DOI: 10.1523/jneurosci.0518-19.2019.Peer-Reviewed Original ResearchConceptsHuman induced pluripotent stem cellsMajor brain cell typesDual Perspectives CompanionBrain cell typesNeuronal maturityPsychiatric disordersHuman neuronsDisease riskStudy designBrain organoidsIntradonor variabilityDisease modelsHuman neurodevelopmentInduced pluripotent stem cellsNeural differentiationDiseaseStem cellsCell typesPluripotent stem cellsHuman diseasesEfficient neural differentiationInduction strategyPatient-specific cellsDisease modelingCells
2017
Application of CRISPR/Cas9 to the study of brain development and neuropsychiatric disease
Powell S, Gregory J, Akbarian S, Brennand K. Application of CRISPR/Cas9 to the study of brain development and neuropsychiatric disease. Molecular And Cellular Neuroscience 2017, 82: 157-166. PMID: 28549865, PMCID: PMC5516945, DOI: 10.1016/j.mcn.2017.05.007.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsMeSH KeywordsBrainBrain DiseasesCRISPR-Cas SystemsGene EditingGene ExpressionHumansInduced Pluripotent Stem CellsConceptsCRISPR/Cas9 technologyPluripotent stem cellsTranscriptional regulatorsManipulation of DNAEpigenetic pathwaysGenomic editingSpecific lociCRISPR/Basic biologyCas9 technologyGene expressionStem cellsTargeted localizationEnzyme activityBrain developmentEpigenomeNeuropsychiatric diseasesGenomeCRISPRRepressionLociBiologyRegulatorEffectorsDNA