Generation of a centralized and integrated resource for exposure data

描述（由申请人提供）： 摘要我们的目标是提供一个集中的，公众可用的资源，全面的，注释良好的数据和分析工具，通知设计和解释环境健康研究，并促进新的见解环境影响的疾病的病因。大多数人类疾病涉及遗传和环境因素之间的相互作用;然而，这些复杂的相互作用的基础还没有得到很好的理解，并限制了毒性预测，风险评估，研究优先次序和治疗干预措施的改进。我们开发了比较毒理学基因组学数据库（CTD;：ctd.mdibl.org），通过提供来自同行评审文献的描述化学-基因/蛋白质相互作用以及化学和基因/蛋白质-疾病关系的手动管理数据，并将这些数据与选定的外部数据集（例如，途径和生物过程数据）和新颖的数据分析工具。在此应用中，我们建议利用我们的专业知识和CTD基础设施：1）通过管理和整合暴露数据到CTD中来增强识别环境-疾病联系的能力; 2）通过开发包括暴露数据的新型分析和可视化工具来扩展环境-疾病网络的预测，分析和解释能力。该提案响应了NIEHS和伙伴机构在确定研究优先级和进行毒性测试时对纳入暴露数据的需求，解决了在更广泛的生物学背景下集中暴露数据的需求，并将为CTD中的现有数据提供“真实世界”暴露背景。由此产生的资源将为理解和优先考虑接触对人类健康的影响及其潜在病因提供新的机会，并协调对提高毒性预测和风险评估能力至关重要的数据。

DESCRIPTION (provided by applicant): ABSTRACT Our objective is to provide a centralized, publicly available resource with comprehensive, well-annotated data and analysis tools that informs design and interpretation of environmental health studies and promotes novel insights into the etiologies of environmentally influenced diseases. Most human diseases involve interactions between genetic and environmental factors; however, the basis of these complex interactions are not well understood and limit improvements in toxicity prediction, risk assessment, research prioritization and therapeutic interventions. We developed the Comparative Toxicogenomics Database (CTD; ://ctd.mdibl.org) to enhance understanding about environment-disease connections by providing manually curated data describing chemical-gene/protein interactions and chemical- and gene/protein-disease relationships from the peer-reviewed literature and integrating these data with select external data sets (e.g., pathways and biological process data) and novel data analysis tools. In this application, we propose to leverage our expertise and CTD infrastructure to: 1) enhance the capacity to identify environment-disease connections by curating and integrating exposure data into CTD; and 2) expand the capacity for prediction, analysis and interpretation of environment-disease networks by developing novel analysis and visualization tools that include exposure data. This proposal responds to the needs expressed by the NIEHS and partner agencies for inclusion of exposure data when prioritizing research and performing toxicity testing, it addresses the need for centralization of exposure data in a broader biological context and it will provide "real-world" exposure context for existing data in CTD. The resulting resource will enable new opportunities for understanding and prioritizing human health effects from exposure and their underlying etiologies and coordinate data key to enhancing the capacity for toxicity prediction and risk assessment.