Mouse Phenome Project

 描述（由申请人提供）：小鼠表型数据库（MPD; phenome.jax.org）是一个独特且无与伦比的专家策划的、高度整合的和多样化的小鼠表型数据库，包括与酗酒、成瘾、神经行为过程和其他生理领域相关的大量数据。随着神经行为和其他生物医学领域的综合性、系统级遗传学和其他数据集成计划的重要性日益增加，依赖于严格管理的各种数据将变得更加重要，以便它们可以放心地重复使用，使研究人员能够建立在累积结果的基础上并获得新的见解。了解疾病的复杂性需要整合不同生物系统、数据类型和规模级别的数据。通过综合复杂性状研究的视角和应用，我们可以揭示这些系统之间的关系，并在认识疾病的共同和独特基础方面向前迈进。生物信息学和大脑、行为和生物学的高通量评估的互补进展提供了用于快速识别和表征生物系统在行为过程中的作用的技术，从而能够发现用于研究、诊断和治疗的新分子靶点。然而，取得进展的一个主要障碍仍然是确定最有效、最可靠和最可重复的人类疾病研究模型和方法。我们的首要目标是通过小鼠作为模式生物来了解正常和异常人类条件的基因组基础。我们建议推进MPD，它有广泛的社区支持，并扩大这一数据资源的影响，以响应依赖它的研究社区的新兴和持续的需求。具体来说，我们建议升级MPD系统，并获得新的数据和数据类型;纳入不断发展的存档，集成和分析数据的技术;扩大活动，促进数据的重复性内和跨资源;并确保MPD与其他公共数据库的互操作性。成功完成我们的目标将使MPD用户能够利用和整合来自小鼠遗传和表型多样性研究的信息，以确定用于复杂人类疾病研究的小鼠模型系统。

 DESCRIPTION (provided by applicant): The Mouse Phenome Database (MPD; phenome.jax.org) is unique and unparalleled as a repository of expertly curated, highly integrated and diverse mouse phenotype data, including significant amounts of data relevant to alcoholism, addiction, neurobehavioral processes, and other physiological domains. With the increased importance of integrative, systems-level genetics and other data integration initiatives in neuro-behavior and other biomedical fields, it will be ever more critical to rely on diverse dat that have been rigorously curated so that they may be reused with confidence, allowing researchers to build upon cumulative results and gain new insights. Understanding the complexity of diseases requires integration of data across diverse biological systems, types of data, and levels of scale. With the perspective and application of integrated complex trait studies, we can uncover relationships among these systems and take steps forward in realizing the common and distinct bases of disease. Complementary advances in bioinformatics and high-throughput assessment of brain, behavior, and biology have delivered technologies for rapidly identifying and characterizing the role of biological systems in behavioral processes, enabling the discovery of new molecular targets for investigation, diagnostics, and therapeutics. However, a major barrier to progress remains in the identification of the most valid, reliable and reproducible research models and methods for the study of human disease. Our overarching objectives are to understand the genomic bases of normal and abnormal human conditions through the mouse as a model organism. We propose to advance MPD, which has wide community support, and extend the impact of this data resource in response to emerging and continuing needs of the research community that relies on it. Specifically, we propose to upgrade the MPD system and acquire new data and data types; incorporate evolving technologies for archiving, integrating, and analyzing data; expand activities that promote data reproducibility within and across resources; and ensure interoperability of MPD with other public databases. Successful completion of our aims will enable MPD users to harness and integrate information from studies of mouse genetic and phenotypic diversity to identify mouse model systems for the study of complex human disease.