Clinical Research Design, Epidemiology and Biostatistics Core

临床研究设计、流行病学和生物统计学核心

• 批准号: 10205085
• 负责人: Susan L SANTANGELO
• 金额: $ 92.32万
• 依托单位: MAINEHEALTH
• 依托单位国家: 美国
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-07-03 至 2022-08-04
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10205085
• 关键词: Adopted; Aging; Bioinformatics; Bioinformatics Shared Resource; Biomedical Research; Biometry; Biostatistics Core; Cardiovascular Diseases; Charge; Clinical; Clinical Informatics; Clinical Investigator; Clinical Research; Consult; Data; Data Analyses; Data Science; Data Sources; Databases; Development; Discipline; Doctor of Philosophy; Educational Status; Educational workshop; Electronic Health Record; Epidemiology; Evaluation; Experimental Designs; Fostering; Funding; Genomics; Genotype; Goals; Health; Health Sciences; Histones; Informatics; Institution; Internships; Knowledge; Libraries; Linear Models; Maine; Malignant Neoplasms; Manuscripts; Medical center; Methodology; Methods; Mining; Modeling; Molecular; Multivariate Analysis; New England; Pilot Projects; Plug-in; Practice based research; Preparation; Research; Research Design; Research Personnel; Research Support; Resources; Rural Health; Rural Population; Sampling; Science; Scientist; Services; Source; Specialist; Statistical Data Interpretation; Students; Substance abuse problem; Talents; Techniques; Technology; Text; Training; Translational Research; Universities; Variant; Vermont; bioinformatics tool; biomedical informatics; catalyst; clinical center; clinical development; computer program; computing resources; data management; data mining; data modeling; data submission; epidemiology study; experience; genomic data; graduate student; health data; high throughput analysis; interdisciplinary approach; interest; machine learning algorithm; multidisciplinary; next generation sequencing; novel strategies; reference genome; software development; tool; transcriptome sequencing; translational medicine; translational scientist; translational study

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.

项目摘要 北方新英格兰临床研究者正在使用多学科方法， 转化研究网络（NNE-CTR），以推进转化医学的健康问题，地方病， 北方新英格兰的老龄化农村人口，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、 整合临床、研究和管理数据，以及研究设计和统计分析支持， 临床和流行病学研究者。临床研究设计、流行病学和 生物统计学核心（CRDEB）旨在支持和教育NNE-CTR核心和研究者， 在他们的研究中使用这些计算密集型的方法和技术。因此， 核心将为参与研究者及其合作者提供以下类型的支持：1）支持 用于流行病学、临床和转化的研究导航、研究设计和统计分析 研究将利用临床和转化研究催化剂模型，该模型已成功用于 在缅因州医学中心（MMC）促进T1和T2转化研究，以吸引新的临床和基础研究 翻译研究的研究者。该核心还将支持基于实践的研究催化剂， 与农村卫生研究和提供核心的临床医生一起促进T3和T4研究; 2）支持 基因组分析，包括数据管理和高通量基因分型分析， 一代测序数据，以及公开可用的基因组学资源的数据挖掘，将需要 在分子生物信息学中，广泛的计算资源和生物信息学专家的优势 佛蒙特大学（UVM）的共享资源; 3）支持计算机程序，插件， 生物医学信息学和临床信息学分析的应用开发，采矿电子健康 将提供记录、查询公共基因组和其他研究和行政数据来源。 当代生物医学研究的实现越来越需要开发新的 组织、分析和检索来自大量数据源的数据并将其转换为 可以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， 特别关注此类技术的开发、部署和评估。我们将延长 已经开发的用于提供集成的临床、研究和管理数据的方法和工具 由UVM的生物医学信息学单位以及观察健康数据科学和信息学 协作及其通用数据模型，目前在MMC使用，所有NNE-CTR研究者。