Core E: Data Management

核心E：数据管理

• 批准号: 10333059
• 负责人: Brian William Kunkle
• 金额: $ 77.98万
• 依托单位: UNIVERSITY OF MIAMI SCHOOL OF MEDICINE
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-07-01 至 2027-06-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10333059
• 关键词: Alzheimer' s Disease; Biological; Biological Markers; Clinical Data; Cloud Computing; Cognitive; Collaborations; Communities; Computer software; Data; Data Analyses; Data Set; Data Storage and Retrieval; Databases; Ensure; Follow-Up Studies; Funding; Future; Genetic; Genetic Variation; Genomics; Genotype; Goals; Individual; Information Resources; Infrastructure; Medical History; Patient Recruitments; Performance; Phenotype; Population; Process; Production; Research; Resources; Running; Sampling; Source; Test Result; Update; Work; adjudication; analysis pipeline; biobank; clinical phenotype; cognitive testing; cohort; dashboard; data management; demographics; diverse data; genome sequencing; genomic biomarker; genomic data; outreach; phenotypic data; recruit; therapeutic development; web site; whole genome

PROJECT SUMMARY/ABSTRACT: Core E (Data Management Core) The goal of the Data Management Core (Core E) is to support recruitment data activities, provide high-capacity data storage and run large computational tasks for the READD-ADSP cores and projects. The core will: 1) support and track demographics, cognitive testing results, pertinent medical history and history of cognitive problems from the Ascertainment and Outreach Core (Core B), 2) manage phenotype and genomic data produced by the Adjudication and Phenotype Harmonization (Core C) and Genomics and Biomarker (Cores D) Cores, 3) support databases for phenotypes, genotype and biomarker data, analysis results (all Projects), and annotations (Cores C, D and Projects), 4) perform imputation of genotyping data for analysis in Projects, 5) provide cloud computing analysis support and optimization to Projects, and 6) provide server support for the READD-ADSP website and dashboard. The final READD-ADSP resource, including data collected within this application and future biomarker and whole genome sequencing, will create an invaluable resource for the Alzheimer disease genomics research community. Identification of population specific genomic associations facilitated by this resource will both increase our biological understanding of Alzheimer's disease and ensure that therapeutic development will benefit all populations.

项目摘要/摘要：核心 E（数据管理核心） 数据管理核心（Core E）的目标是支持招聘数据活动，提供高容量 数据存储并为 READD-ADSP 内核和项目运行大型计算任务。核心将：1） 支持和跟踪人口统计、认知测试结果、相关病史和认知史 来自确定和外展核心（核心 B）的问题，2) 管理表型和基因组数据 由裁决和表型协调（核心 C）以及基因组学和生物标志物（核心 D）产生 核心，3) 支持表型、基因型和生物标志物数据、分析结果（所有项目）的数据库，以及 注释（核心 C、D 和项目），4) 对基因分型数据进行插补以在项目中进行分析，5) 为项目提供云计算分析支持和优化，6）为项目提供服务器支持 READD-ADSP 网站和仪表板。最终的 READD-ADSP 资源，包括在此收集的数据 应用程序和未来的生物标志物和全基因组测序，将为人类创造宝贵的资源 阿尔茨海默病基因组学研究团体。群体特异性基因组关联的鉴定 该资源的促进将增加我们对阿尔茨海默病的生物学理解，并确保 治疗方法的发展将使所有人群受益。