Bio Repository Core

项目摘要-生物储存库和临床数据核心 增加不同群体参与生物医学研究的必要性是国家卫生议程， 促进公平传播基因组医学的益处。不幸的是， 在大多数研究中，包括基因研究中，代表性不足。我们的目标是建立数据管理 工作队，以支持行政管理，数据管理和分析产生的数据， 参与机构。我们还旨在优先考虑和促进调查人员产生 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 因为它与健康差异研究有关。具体目标如下： 1)促进有效利用现有的生物样本和临床数据库， 差距研究。 2)支持利用生物标本库和临床研究的健康差异研究 多个机构的数据。 3)使生物数据与临床、背景和环境数据相关联， 健康差异研究。 4)开展有关生物标本的文化知情参与和教育活动 研究和数据库。 范德比尔特是推进自然语言处理和机器学习技术的国家领导者， 从不同的数据源中获得表型。尽管人们一再痛苦地说， 显然，社会和行为因素影响健康和死亡率，这些决定因素往往被忽视 在临床实践和文献中。由于社会背景已被证明是造成健康差距原因 以前归因于种族的结果，必须控制环境和背景数据， 少数民族研究在与伙伴机构的合作下，这一核心将发挥作用， 精准医学和人口健康卓越中心的目标，以推进研究工作， 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.