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
2013
Modeling Heterogeneous Patients With a Clinical Diagnosis of Schizophrenia With Induced Pluripotent Stem Cells
Brennand K, Landek-Salgado M, Sawa A. Modeling Heterogeneous Patients With a Clinical Diagnosis of Schizophrenia With Induced Pluripotent Stem Cells. Biological Psychiatry 2013, 75: 936-944. PMID: 24331955, PMCID: PMC4022707, DOI: 10.1016/j.biopsych.2013.10.025.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsConceptsCommon clinical manifestationsSmall patient cohortPathology of schizophreniaStem cellsPluripotent stem cellsComplex genetic conditionClinical manifestationsPatient cohortClinical etiologyHuman neuronsAnimal modelsClinical heterogeneityHeterogeneous patientsClinical diagnosisSchizophreniaGenetic conditionsMental conditionPatientsGenetic variantsBiological mechanismsClinical constraintsRare genetic variantsCellsCohortEtiology