3/3-Identifying regulatory mutations that influence neuropsychiatric disease
3/3-Identifying regulatory mutations that influence neuropsychiatric disease
批准号:
8806037
负责人:
Mark Joseph Daly
金额:
$100.75万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2014
资助国家:
美国
项目状态:
已结题
起止时间:
2014-09-18 至 2018-07-31
关键词:
AffectAutistic DisorderBiological AssayBrain DiseasesCellsChildhood SchizophreniaDNADataDevelopmentDiagnosisDiseaseFunctional RNAGene ExpressionGene Expression ProfileGene FrequencyGenesGenetic VariationGenomeGenomicsGoalsKnowledgeLeadMapsMutationNeuronsNucleic Acid Regulatory SequencesPatientsPeripheral Blood Mononuclear CellPhenotypePopulationPopulation GeneticsRNA SequencesRegulationResolutionRiskRoleSample SizeSchemeSchizophreniaSourceSpecificityStagingTestingTissuesVariantWorkcell typegenome sequencinggenome-wideimprovedinduced pluripotent stem cellinterestneuropsychiatrynew therapeutic targetpublic health relevance
中文摘要
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英文摘要
DESCRIPTION (provided by applicant): The overarching goal of this study is the development of a framework to identify causal regulatory mutations in patients with serious neuropsychiatric presentations through the paired analyses of whole genome sequence and high resolution RNA sequence data from both accessible primary cells (PBMC and buccal cells) and reprogrammed neuronal cells from the same patients. The latter constitutes a particularly exciting opportunity as it will allow us to assay gene expression during different developmental stages of previously inaccessible cell types of much greater relevance to patient phenotype than the circulating cells DNA studies are customarily performed on. Specifically, we will interpret the effects of the regulatory variants in different developmental stages of the reprogrammed neuronal and other cells of interest with a comparison to the PBMC and buccal cells helping to interpret the specificity or generality of the relevant effects in different tissues. These analyses will focus nt only on mapping cis- and trans-acting eQTLs, but will also deploy new variant prioritization schemes that integrate knowledge of regulatory regions of the genome through ENCODE and related efforts as well as population genetic data. While an explicit aim of the work is to identif regulatory variants influencing risk of schizophrenia and autism, we emphasize that this work has primarily the broader goal of the development of appropriate frameworks for the eventual identification of such mutations, which inevitably will require substantially larger sample sizes that currently feasible to facilitate systematic discovery.
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海外基金