2023
Integrating 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
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