Bio Repository Core

项目摘要-生物仓库和临床数据核心 增加不同群体参与生物医学研究的必要性是一项国家卫生议程，以 促进基因药物惠益的公平传播。不幸的是，少数族裔人口 在包括基因研究在内的大多数研究中代表性不足。我们的目标是建立数据管理 支持行政管理、数据管理和数据分析的工作组 参与机构。我们还致力于确定优先顺序并促进调查人员生成 数据集和使用感兴趣的表型来创建研究队列并访问相关的遗传数据 适当地，因为它与健康差距研究有关。具体目标如下： 1)促进有效利用现有的生物制品和临床健康资料库 差异研究。 2)支持利用生物检验库和临床的健康差异研究 跨多个机构的数据。 3)使生物数据能够与临床、背景和环境数据联系起来 健康差距研究。 4)开展与生物检疫有关的文化知识参与和教育活动 研究和数据仓库。 Vanderbilt在推动自然语言处理和机器学习技术方面处于全国领先地位 从不同的数据源派生表型。尽管它已经被反复和痛苦地陈述过 显然，社会和行为因素影响健康和死亡率，但这些决定因素往往被忽视。 在临床实践和文献方面。由于社会背景已被证明是健康差异的原因 以前归因于种族的结果，对环境和背景数据进行控制至关重要 少数民族研究。在与伙伴关系研究所的协作下，这一核心将发挥作用，以支持总体 精准医学和人口健康卓越中心的目标是推动研究工作和 基因组数据，以消除健康差距。

Project Summary – Biorepository and Clinical Data Core The need to increase participation of diverse groups in biomedical research is a national health agenda to promote equitable dissemination of the benefits of genomic medicine. Unfortunately, minority populations are underrepresented in most research, including genetic research. Our goal is to establish a data management taskforce to support the administrative management, data management, and analysis of data generated across participating institutions. We also aim to prioritize and facilitate the process by which investigators generate data sets and use phenotypes of interest to create research cohorts and access associated genetic data appropriately as it relates to health disparities research. The Specific Aims are as follows: 1) To facilitate the efficient use of existing biospecimen and clinical data repositories for health disparities research. 2) To support health disparities research that leverages biospecimen repositories and clinical data across multiple institutions. 3) To enable the linking of biological data to clinical, contextual and environmental data for health disparities research. 4) To develop culturally informed engagement and educational activities regarding biospecimen research and data repositories. Vanderbilt is a national leader in advancing natural language processing and machine learning techniques to derive phenotypes from disparate data sources. Although it is has been repeatedly stated and painfully apparent that social and behavioral factors influence health and mortality, such determinants are often ignored in clinical practice and documentation. Since social context has been show to account for disparities in health outcomes previously attributed to race, it is essential for environmental and contextual data be controlled for in minority studies. In collaboration with the partnering institutes this core will function to support the overarching goals of the Center of Excellence in Precision Medicine and Population Health to advance research efforts and genomic data to eliminate health disparities.