Core--Statistical Genetics and Bioinformatics Facility

核心--统计遗传学和生物信息学设施

• 批准号: 7118392
• 负责人: Christopher I. Amos
• 金额: $ 23.59万
• 依托单位: UNIVERSITY OF TX MD ANDERSON CAN CTR
• 依托单位国家: 美国
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-04-01 至 2011-03-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7118392
• 关键词: Li Fraumeni syndrome; Wilms' tumor; animal data; bioinformatics; biomedical facility; cancer risk; computer data analysis; computer program /software; data management; family genetics; gene expression; human data; information systems; neoplasm /cancer genetics; pediatric neoplasm /cancer; statistics /biometry

The overall function of this core is to provide comprehensive data management and statistical support in a timely and efficient manner to all relevant components of the P-01. This core will process, automate, and edit the clinical, epidemiologic and biologic data derived from specific projects and provide statistical support and expertise to each of the research projects and cores. To support the projects and cores of the P01 we propose four following objectives. The first objective will maintain and further develop a centralized database for clinical, tracking, and genetic data. This objective extends the database that we already created during the previous 5 years of funding. This databases uses Visual Basic front-ends to create user friendly interfaces with a SQL/server backend. Data are converted online into pedigree drawings that are displayed with Progeny Anywhere. Additional database developments will further streamline communication among the P01 projects and facilitate the further analysis of genetic data. Our second objective is to develop and apply novel statistical approaches for the analysis of data relating to core projects. Included in this objective are further developments of software and statistical support for Q-FISH of telomere length (project 5), and support for survival analysis of mouse studies (Project 3). We also will apply and further develop epidemiological tools for project 1. Our third objective is to perform analyses to identify novel genetic factors influencing the risk for cancer in high-risk families. This objective supports projects 1 and 2 and core E. Core C will also develop and apply and develop, where needed, bioinformatics tools to identify novel expression patterns relating to Li- Fraumeni syndrome or Wilms tumor. This objective supports the microarray experiments requested for projects 3 and as needed for project 4 as well as genotyping using microarrays that form a basis for Core D and project 2.

该核心的总体功能是及时提供全面的数据管理和统计支持 对P-01的所有相关组件的有效方式。此核心将处理，自动化和编辑 从特定项目得出的临床，流行病学和生物学数据，并提供统计支持和 每个研究项目和核心的专业知识。为了支持P01的项目和核心，我们建议 以下四个目标。第一个目标将维护并进一步开发一个集中式数据库，以进行临床， 跟踪和遗传数据。该目标扩展了我们在上5个期间已经创建的数据库 多年的资金。该数据库使用视觉基本前端来创建用户友好的接口 SQL/服务器后端。数据在线转换为带有后代的血统图 任何地方。其他数据库开发将进一步简化P01项目之间的通信 并促进对遗传数据的进一步分析。我们的第二个目标是开发和应用新颖的统计 分析与核心项目有关的数据的方法。此目标中包括进一步 软件的发展和统计支持端粒长度（项目5）的统计支持，并支持 小鼠研究的生存分析（项目3）。我们还将应用并进一步开发流行病学工具 项目1。我们的第三个目标是进行分析，以确定影响风险的新遗传因素 高风险家庭的癌症。该目标支持项目1和2和核心E.核心C也将发展和 在需要时应用和开发生物信息学工具，以识别与li-有关的新型表达模式 Fraumeni综合征或Wilms肿瘤。该目标支持要求的微阵列实验 项目3和项目4的需要以及使用微阵列的基因分型，构成核心D的基础 和项目2。