MAPGen Knowledge Base (MAPGenKB) and Coordination Center

MAPGen 知识库 (MAPGenKB) 和协调中心

• 批准号: 8499408
• 负责人: EDWARD DAVID CRANDALL
• 金额: $ 113.85万
• 依托单位: UNIVERSITY OF SOUTHERN CALIFORNIA
• 依托单位国家: 美国
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-08-25 至 2016-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8499408
• 关键词: Bioinformatics; Biological; Biological Markers; Blood; Clinical; Communities; Computing Methodologies; DNA; Data; Data Analyses; Development; Disease; Disease Progression; Drug usage; Funding; Genetic; Genome; Goals; Heart; Heart Diseases; Hematological Disease; Individual; Informatics; Instruction; Internet; Leadership; Lung; Lung diseases; Manuscripts; Maps; Medical; Messenger RNA; Molecular; National Heart, Lung, and Blood Institute; Organ; Paper; Pathway interactions; Patients; Pharmaceutical Preparations; Phenotype; Preparation; Process; Proteins; Protocols documentation; Public Domains; Publishing; Quality Control; Records; Research; Research Infrastructure; Research Personnel; Review Committee; Schedule; Sleep; Sleep Disorders; Therapeutic; Work; abstracting; base; body system; computer science; database of Genotypes and Phenotypes; design; disorder prevention; genetic analysis; insight; knowledge base; meetings; member; novel; novel diagnostics; novel strategies; prognostic; programs; research study; statistics; therapy design; tool; trait; user-friendly; web interface

DESCRIPTION (provided by applicant): We propose to develop and implement a Knowledge Base and Coordination Center for the Consortium of Cross Organ Mechanism-Associated Phenotypes for Genetic Analyses of Heart, Lung, Blood, and Sleep Diseases (MAPGen). Our team possesses strong expertise in bioinformatics, statistics, computer science, as well as clinical and biological expertise in heart, lung, and blood diseases. We propose three major functions of the center: (1) Develop a knowledge base on interconnections among diseases. We will systematically identify, integrate, and analyze the vast amount of public data (e.g. NCBI GEO, SRA, dbGap, and published papers) to comprehensively describe the shared molecular mechanisms among diseases. We will establish a multi-dimensional disease connectivity map that can be interactively accessed via web- interface. Using this knowledge base, we will design computational approaches to identify biomarkers that can be used to predict more than one disease, to regroup diseases based on the underlying molecular mechanisms, to design novel approaches to predict disease progression, and to identify novel drug usages. (2) Develop a bioinformatics infrastructure for the MAPGen consortium. We will be responsible for the quality control of the data generated by Consortium; we will perform integrative analysis of data generated by different RCs as well those from public domains, in order to gain deep insights and fundamental understandings of the shared molecular mechanisms among the HLBS diseases. We will use the knowledge base developed in Aim 1 to further establish the connections between the HLBS and other diseases. We will work closely with the medical co-investigators at USC as well as all RC teams to develop and validate biological hypotheses. (3) We will establish an Administrative Center to coordinate activities across RCs, including coordination of manuscript and other document preparation; coordination of the activities of all Committees; overall study coordination and quality control; and administering the distribution of additional funds in years 3 and 4. We aim to synergize the effort across all RCs to achieve the goal of understanding the genetic mechanisms responsible for the interconnections among cross-organ diseases. RELEVANCE (See instructions): The proposed projects will facilitate the identification and characterization of common pathobiologic traits and mechanisms cross organ systems, and provide a basis for the rational, mechanism-based development of new diagnostic, prognostic and therapeutic strategies for heart, lung, blood and sleep disorders. (End of Abstract)

描述(由申请人提供)：我们建议开发和实施一个知识库和协调中心，用于心、肺、血液和睡眠疾病的遗传分析跨器官机制关联表型联盟(MAPGen)。我们的团队在生物信息学、统计学、计算机科学以及心脏、肺和血液疾病的临床和生物学方面拥有丰富的专业知识。我们提出了该中心的三个主要功能：(1)开发疾病之间相互联系的知识库。我们将系统地识别、整合和分析大量的公共数据(如NCBI GEO、SRA、DBGaP和已发表的论文)，以全面描述疾病之间共享的分子机制。我们将建立一个多维的疾病连接地图，可以通过网络界面交互访问。利用这个知识库，我们将设计计算方法来识别可用于预测多种疾病的生物标记物，基于潜在的分子机制对疾病进行重组，设计新的方法来预测疾病的进展，并确定新的药物用途。(2)为MAPGen财团开发生物信息学基础设施。我们将负责联盟产生的数据的质量控制；我们将对不同RC产生的数据以及来自公共领域的数据进行综合分析，以深入了解HLBS疾病之间的共同分子机制。我们将利用目标1中开发的知识库，进一步建立HLBS与其他疾病之间的联系。我们将与南加州大学的医学合作研究人员以及所有RC团队密切合作，开发和验证生物学假说。(3)我们将设立一个行政中心，协调各研究中心的活动，包括协调手稿和其他文件的准备工作；协调所有委员会的活动；统筹研究协调和质量控制；以及管理第三年和第四年的额外资金分配。我们的目标是协调所有研究中心的工作，以达到了解跨器官疾病之间相互联系的遗传机制的目标。相关性(见说明)：拟议的项目将有助于确定和表征常见的病理生物学特征和跨器官系统的机制，并为合理、以机制为基础制定新的心、肺、血液和睡眠障碍的诊断、预后和治疗策略提供基础。(摘要结束)