We intend to examine oligodendrocyte/myelin related (OMR) genes in schizophrenia in order to identifythose specific OMR genes that initiate the pathophysiological processes in schizophrenia. By identifying newgenes, we will also provide etiologically relevant foci for other CCNMD components whose aims are toelucidate the pathophysiological cascades through cell biology and animal models. We will also enableexternally validated exploration of the diagnostic boundaries of psychosis and of endophenotypes, and theconstruction of etiologically relevant animal models in which to explore pathophysiology, develop novelendophenotypes and markers of disease, and model novel therapeutic interventions.
Aim1. Identify causalpathways: Genes that regulate oligodendrocyte development and maturation will be tested by geneticassociation based on whole genome data plus additional focused genotyping, and by replication in largesamples.
Aim 2. Determine how OMR genes relate to white matter imaging abnormalities in schizophreniaand to clinically important neuropsychological measures. Genes associated from aim 1 will be examined insubjects who have had diffusion tensor imaging and neuropsychological profiling.
Aim 3. Determine howOMR genes relate to the clinical phenotype. We postulate that OMR genes confer risk beyond diagnosticboundaries, and may influence particular domains of psychopathology and/or clinical outcome. We will testthis by examining genes associated from aim 1 in large samples of individuals with schizoaffective disorder,bipolar disorder and psychotic unipolar disorder. We will also examine relationships with the clinical variableswe have collected with the minimal imposition of nosological models.
Aim 4. Identifying Animal Models.Mouse strains carrying spectra of nonsense and missense mutations in the genes identified as mediators ofschizophrenia risk will prove of value in identifying the functions, normal and pathogenic of the susceptibilitygenes, the disease mechanisms, and in the development of treatments. We will identify mouse mutants forkey OMR genes by screening DMA from the MRC UK Harwell END series. The work proposed relates toimproving mental health on several levels. New understandings of fundamental disease mechanisms willultimately lead to new therapeutic opportunities. We also expect to contribute to the development ofimproved diagnostics and classification based upon etiology and pathophysiology. Success here will havewide ranging consequences for all clinical and research that use psychiatric classification, includingdiagnostics and treatment.

Agency
National Institute of Health (NIH)
Institute
National Institute of Mental Health (NIMH)
Type
Specialized Center (P50)
Project #
2P50MH066392-05A1
Application #
7332869
Study Section
Special Emphasis Panel (ZMH1-ERB-S (03))
Project Start
2007-08-01
Project End
2012-05-31
Budget Start
2007-08-01
Budget End
2008-05-31
Support Year
5
Fiscal Year
2007
Total Cost
$180,743
Indirect Cost
Name
Mount Sinai School of Medicine
Department
Type
DUNS #
078861598
City
New York
State
NY
Country
United States
Zip Code
10029
Amiri, Anahita; Coppola, Gianfilippo; Scuderi, Soraya et al. (2018) Transcriptome and epigenome landscape of human cortical development modeled in organoids. Science 362:
Giambartolomei, Claudia; Zhenli Liu, Jimmy; Zhang, Wen et al. (2018) A Bayesian framework for multiple trait colocalization from summary association statistics. Bioinformatics 34:2538-2545
Toker, Lilah; Mancarci, Burak Ogan; Tripathy, Shreejoy et al. (2018) Transcriptomic Evidence for Alterations in Astrocytes and Parvalbumin Interneurons in Subjects With Bipolar Disorder and Schizophrenia. Biol Psychiatry 84:787-796
Huckins, L M; Hatzikotoulas, K; Southam, L et al. (2018) Investigation of common, low-frequency and rare genome-wide variation in anorexia nervosa. Mol Psychiatry 23:1169-1180
Wang, Daifeng; Liu, Shuang; Warrell, Jonathan et al. (2018) Comprehensive functional genomic resource and integrative model for the human brain. Science 362:
Mitchell, A C; Javidfar, B; Pothula, V et al. (2018) MEF2C transcription factor is associated with the genetic and epigenetic risk architecture of schizophrenia and improves cognition in mice. Mol Psychiatry 23:123-132
Bryois, Julien; Garrett, Melanie E; Song, Lingyun et al. (2018) Evaluation of chromatin accessibility in prefrontal cortex of individuals with schizophrenia. Nat Commun 9:3121
Fazio, Leonardo; Pergola, Giulio; Papalino, Marco et al. (2018) Transcriptomic context of DRD1 is associated with prefrontal activity and behavior during working memory. Proc Natl Acad Sci U S A 115:5582-5587
Gusev, Alexander; Mancuso, Nicholas; Won, Hyejung et al. (2018) Transcriptome-wide association study of schizophrenia and chromatin activity yields mechanistic disease insights. Nat Genet 50:538-548
Mitelman, Serge A; Bralet, Marie-Cecile; Mehmet Haznedar, M et al. (2018) Positron emission tomography assessment of cerebral glucose metabolic rates in autism spectrum disorder and schizophrenia. Brain Imaging Behav 12:532-546

Showing the most recent 10 out of 153 publications