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
2023
Experimental Model Systems for Rare and Common Variants
Brennand K, Kushner S. Experimental Model Systems for Rare and Common Variants. 2023, 117-128. DOI: 10.7551/mitpress/15380.003.0012.Peer-Reviewed Original ResearchCommon Alleles: Next Steps in the Study of Common Variants
Won H, Wray N, Binder E, Brennand K, Franke B, Gandal M, Stevens B, Südhof T, Ziller M. Common Alleles: Next Steps in the Study of Common Variants. 2023, 131-154. DOI: 10.7551/mitpress/15380.003.0014.Peer-Reviewed Original Research
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 riskPleiotropyCRISPRGenetics
2019
CRISPR-based functional evaluation of schizophrenia risk variants
Rajarajan P, Flaherty E, Akbarian S, Brennand KJ. CRISPR-based functional evaluation of schizophrenia risk variants. Schizophrenia Research 2019, 217: 26-36. PMID: 31277978, PMCID: PMC6939156, DOI: 10.1016/j.schres.2019.06.017.Peer-Reviewed Original ResearchConceptsSchizophrenia-associated variantsPluripotent stem cellsCRISPR genome engineeringSchizophrenia risk variantsCellular functionsGenome engineeringGenomic studiesSchizophrenia lociList of variantsGene expressionPatient-specific humanGenotype dataRisk variantsStem cellsFunctional impactCommon variantsCRISPRPost-mortem brain tissueRecent findingsVariantsNeuropsychiatric diseasesPoint of convergenceGenetic riskLociSpecific effects
2018
New considerations for hiPSC-based models of neuropsychiatric disorders
Hoffman GE, Schrode N, Flaherty E, Brennand KJ. New considerations for hiPSC-based models of neuropsychiatric disorders. Molecular Psychiatry 2018, 24: 49-66. PMID: 29483625, PMCID: PMC6109625, DOI: 10.1038/s41380-018-0029-1.Peer-Reviewed Original ResearchConceptsHuman-induced pluripotent stem cellsCell type compositionComplex genetic diseasesPluripotent stem cellsComplex genetic disorderField of geneticsCell biologistsBiological convergenceLevel phenotypesAdvanced geneticsCRISPR technologyHuman diseasesPsychiatric genomicsGenetic diseasesStem cellsNeural cellsCommon variantsGeneticsGenetic disordersBiological considerationsCritical insightsCellsGenomicsRecent advancesBiologists
2015
Using hiPSCs to model neuropsychiatric copy number variations (CNVs) has potential to reveal underlying disease mechanisms
Flaherty E, Brennand K. Using hiPSCs to model neuropsychiatric copy number variations (CNVs) has potential to reveal underlying disease mechanisms. Brain Research 2015, 1655: 283-293. PMID: 26581337, PMCID: PMC4865445, DOI: 10.1016/j.brainres.2015.11.009.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsConceptsCopy number variationsIsogenic hiPSC linesRare variantsFull genetic architectureGenome editing technologyPluripotent stem cellsStrong heritable componentPatient-derived humanGenetic architectureEditing technologyHeritable componentBehavioral defectsNumber variationsNew therapeutic targetsHiPSC linesGenetic backgroundStem cellsCommon variantsFunctional contributionDisease mechanismsSingle variantMouse modelHigh penetranceHiPSCsTherapeutic target