Bioinformatics and Data Management Core
生物信息学和数据管理核心
基本信息
- 批准号:9205191
- 负责人:
- 金额:$ 27.81万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2017
- 资助国家:美国
- 起止时间:2017-09-15 至 2022-08-31
- 项目状态:已结题
- 来源:
- 关键词:AffectAlzheimer&aposs DiseaseAlzheimer&aposs disease modelAnimal ModelAnimalsAreaBioinformaticsBiological MarkersCellsClinical DataDataData AnalysesData CollectionData SourcesDatabasesDevelopmentDisease ProgressionDisease modelEncyclopedia of DNA ElementsFacultyGene ExpressionGeneticGenetic TranscriptionGenotype-Tissue Expression ProjectHeterogeneityHousingHumanMedicineMethodologyMethodsModelingMolecular ProfilingNeurologyPathological StagingPhenotypePreclinical TestingProteomicsProtocols documentationRecording of previous eventsResearchResearch MethodologyResourcesSourceStandardizationStatistical ModelsSubgroupTestingTimeTranslatingValidationacronymsdata acquisitiondata managementdesignflexibilityinnovationmembermetabolomicsmodel developmentmouse modelneuroimagingneuropathologynext generationnovelpre-clinicalpredictive modelingrisk variantstatisticstranscriptome sequencingweb site
项目摘要
SUMMARY
The primary objectives of the Bioinformatics and Data Management Core (BDMC) are to: (1) develop and
implement standardized data acquisition and data analysis protocols across the NexGen AD Models Center
(NG-ADMC), (2) acquire and integrate external data to inform AD animal models generated by the NG-ADMC,
and (3) create and maintain a publicly available database to house research data generated by the NG-ADMC.
The BDMC is led by faculty members with a long-standing history of directing bioinformatics, statistics, and
data cores, with particular expertise in AD and neurology. The BDMC will be instrumental in the development
and application of statistical models and bioinformatics methodologies as applied to the analysis of animal
model discoveries. These analyses will be used for validation purposes as well as in the refinement of existing
models. Specifically, faculty within the BDMC will build flexible predictive models using multiple clinical data
sources in order to identify and prioritize LOAD risk alleles, and to analyze gene expression profiles,
proteomics, and metabolomics data for implementation in animal models. They will also develop and apply
efficient sequential testing designs for testing identified mouse models, and use robust post-hoc subgroup
identification methods for assessing potential subpopulation heterogeneity in the effect of globally non-
efficacious candidate therapies. The end result will allow the BDMC to identify and validate translatable
biomarkers that can ultimately assist in clinico-pathological staging of an AD-like disease progression in AD
animal models.
总结
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Daniel L Gillen其他文献
Daniel L Gillen的其他文献
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{{ truncateString('Daniel L Gillen', 18)}}的其他基金
Recruiting and retaining participants from disadvantaged neighborhoods in registries
在登记处招募和留住弱势社区的参与者
- 批准号:
10614609 - 财政年份:2022
- 资助金额:
$ 27.81万 - 项目类别:
Recruiting and retaining participants from disadvantaged neighborhoods in registries
在登记处招募和留住弱势社区的参与者
- 批准号:
10447533 - 财政年份:2022
- 资助金额:
$ 27.81万 - 项目类别:
The study partner requirement in preclinical Alzheimers disease trials
阿尔茨海默病临床前试验中研究伙伴的要求
- 批准号:
9373717 - 财政年份:2017
- 资助金额:
$ 27.81万 - 项目类别:
Neuroimaging biomarkers for cognitive decline in elderly with amyloid pathology
淀粉样蛋白病理老年人认知能力下降的神经影像生物标志物
- 批准号:
10160735 - 财政年份:2017
- 资助金额:
$ 27.81万 - 项目类别:
Neuroimaging biomarkers for cognitive decline in elderly with amyloid pathology
淀粉样蛋白病理老年人认知能力下降的神经影像生物标志物
- 批准号:
9311342 - 财政年份:2017
- 资助金额:
$ 27.81万 - 项目类别: