2020
A computational tool (H-MAGMA) for improved prediction of brain-disorder risk genes by incorporating brain chromatin interaction profiles
Sey NYA, Hu B, Mah W, Fauni H, McAfee JC, Rajarajan P, Brennand KJ, Akbarian S, Won H. A computational tool (H-MAGMA) for improved prediction of brain-disorder risk genes by incorporating brain chromatin interaction profiles. Nature Neuroscience 2020, 23: 583-593. PMID: 32152537, PMCID: PMC7131892, DOI: 10.1038/s41593-020-0603-0.Peer-Reviewed Original ResearchConceptsChromatin interaction profilesH-MAGMARisk genesMost risk variantsGenome-wide association studiesCell typesGene regulatory relationshipsRelevant target genesCell-type specificitySingle nucleotide polymorphism associationsBrain cell typesDisease-relevant tissuesInteraction profilesGenomic annotationsNearest geneTarget genesRegulatory relationshipsAssociation studiesBiological pathwaysGenesRisk variantsDevelopmental windowBiological mechanismsNeurodegenerative disordersHuman brain tissue
2016
Chapter 23 hiPSC Models Relevant to Schizophrenia
Hartley B, Hadas Y, Brennand K. Chapter 23 hiPSC Models Relevant to Schizophrenia. Techniques In The Behavioral And Neural Sciences 2016, 23: 391-406. DOI: 10.1016/b978-0-12-800981-9.00023-7.ChaptersPluripotent stem cellsStem cellsPutative causal genesSpecific cellular phenotypesInduced pluripotent stem cellsGenomic lociTranscriptome sequencingRegulatory networksCausal genesCellular phenotypesGenetic manipulationMolecular mechanismsGenetic insultsFull complementPatient cellsEfficient derivationDisease initiationWealth of informationEnvironmental factorsRisk allelesCellsHuman brain tissueModel RelevantGross levelEtiology of schizophrenia