Clinical Research Design, Epidemiology and Biostatistics Core

项目总结 新英格兰北部临床和医疗中心的研究人员正在利用多学科方法 转化研究网络(NNE-CTR)推动转化医学治疗中国地方性健康问题 新英格兰北部农村人口老龄化，包括癌症、心血管疾病和物质 虐待。这些方法严重依赖于生物信息学、生物医学和临床信息学、数据 电子健康记录挖掘、大数据管理、高通量基因组分析、 集成临床、研究和管理数据，以及研究设计和统计分析支持 临床和流行病学调查人员。临床研究设计、流行病学和 生物统计核心(CRDEB)是支持和教育NNE-CTR核心和研究人员在适当的 在他们的研究中使用这些计算密集的方法和技术。因此，CRDEB CORE将为参与调查的人员及其合作者提供以下类型的支持：1)支持 用于流行病学、临床和翻译方面的研究导航、研究设计和统计分析 研究将利用临床和转化性研究催化剂模型，该模型已成功用于 在缅因州医学中心(MMC)促进T1和T2翻译研究，以参与新的临床和基础研究 翻译研究中的调查人员。该核心还将为以实践为基础的研究催化剂提供支持 促进与农村卫生研究和提供核心的临床医生进行T3和T4研究；2)支持 基因组分析，包括高通量基因分型和NEXT的数据管理和分析 世代测序数据以及公开可用的基因组资源的数据挖掘将需要 广泛的计算资源和生物信息学专家在分子生物信息学中的优势 佛蒙特大学(UVM)的共享资源；3)支持计算机程序、插件和 生物医学信息学和临床信息学分析的应用进展，挖掘电子健康 将提供公共基因组和其他研究和行政数据来源的记录和查询。 现代生物医学研究的发展越来越需要新的 组织、分析和检索来自大量数据源的数据并将其转换为 能够支持研究工作的知识。生物医学信息学是一门跨学科的科学， 特别侧重于此类技术的开发、部署和评估。我们将延长 用于提供已开发的综合临床、研究和管理数据的方法和工具 由密歇根大学生物医学信息学股以及观察卫生数据科学和信息学 协作性及其目前在MMC使用的通用数据模型，供所有NNE-CTR调查人员使用。

PROJECT SUMMARY Multidisciplinary approaches are being utilized by the investigators of the Northern New England Clinical and Translational Research Network (NNE-CTR) to advance translational medicine for health problems endemic in the aging, rural populations of northern New England, including cancer, cardiovascular disease and substance abuse. These approaches are heavily dependent on bioinformatics, biomedical and clinical informatics, data mining of electronic health records, large data management, high throughput genomic analyses, delivery of integrated clinical, research and administrative data, and study design and statistical analysis support for clinical and epidemiologic investigators. The goal of the Clinical Research Design, Epidemiology, and Biostatistics Core (CRDEB) is to support and educate NNE-CTR Cores and investigators in the appropriate use of these computationally-intensive approaches and technologies in their studies. Accordingly, the CRDEB Core will provide the following types of support to participating investigators and their collaborators: 1) Support for research navigation, study design and statistical analyses for epidemiologic, clinical and translational studies will utilize a Clinical and Translational Research Catalyst model that has been successfully used to foster T1 and T2 translational research at Maine Medical Center (MMC) to engage new clinical and basic investigators in translational research. This Core will also support a Practice-based Research Catalyst who will facilitate T3 and T4 research with clinicians in the Rural Health Research and Delivery Core; 2) Support for genomic analyses, including data management and analysis of high-throughput genotyping and next generation sequencing data, as well as data mining of publicly available genomics resources, will take advantage of the extensive computing resources and bioinformatics specialists in the molecular Bioinformatics Shared Resource at the University of Vermont (UVM); 3) Support for computer program, plug-in, and applications development for biomedical informatics and clinical informatics analyses, mining electronic health records, and querying public genomic and other research and administrative data sources will be provided. The enablement of contemporary biomedical research increasingly requires the development of new approaches for organizing, analyzing and retrieving data from a plethora of sources and transforming them into knowledge that can support research endeavors. Biomedical informatics is the trans-disciplinary science that is specifically focused on the development, deployment, and evaluation of such techniques. We will extend the methods and tools for delivering integrated clinical, research and administrative data that have been developed by the Biomedical Informatics Unit at UVM, as well as the Observational Health Data Sciences and Informatics collaborative and its common data model, currently in use at MMC, to all NNE-CTR investigators.