Precision Medicine Core

精准医疗核心

• 批准号: 9188303
• 负责人: KATHLEEN T HICKEY
• 金额: $ 18.67万
• 依托单位: COLUMBIA UNIVERSITY HEALTH SCIENCES
• 依托单位国家: 美国
• 资助国家: 美国
• 起止时间: 至
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/9188303
• 关键词: Accounting; Architecture; Biological Markers; Biometry; Clinical; Collection; Common Data Element; Cultural Backgrounds; Data; Data Science; Data Sources; Databases; Discipline of Nursing; Disease; Environmental Risk Factor; Evaluation; Foundations; Genetic; Genetic Heterogeneity; Genomic Segment; Genomics; Genotype; Goals; Health; Individual; Information Systems; Intervention; Latino; Life Cycle Stages; Measurement; Measures; Modeling; Monitor; National Institute of Nursing Research; Outcome; Pathway Analysis; Patient Outcomes Assessments; Patient Self-Report; Phenotype; Pilot Projects; Population; Registries; Research; Research Infrastructure; Research Personnel; Resources; Retrieval; Risk; Science; Scientist; Self Management; Symptoms; Treatment Efficacy; United States National Institutes of Health; biobank; design; electronic data; experience; genetic variant; improved; innovation; lens; personalized approach; precision medicine; social; symptom management; symptom self management; tool; trait; virtual

PROJECT SUMMARY: PRECISION MEDICINE CORE The goal of the Precision in Symptom Self-Management (PriSSM) Center is to advance the science of symptom self-management for Latinos through a social ecological lens that takes into account variability in individual, interpersonal, organizational, and environmental factors across the life course. Within the context of the overall specific aims of the PriSSM Center, the aims of the Precision Medicine Core are to: 1. Establish, refine, and maintain the Precision Medicine Core sociotechnical infrastructure for the collection and/or retrieval, storage, analysis, interpretation, and integration of multiple data sources to support the Center to (a) design and implement six symptom self-management pilot projects and (b) to create and maintain a common data element registry suitable for sharing with the National Institutes of Health and others, 2. Expand and leverage existing institutional “omics” data resources including the Columbia GENomic Integration with Ehr (GENIE) virtual biobank, 3. Provide expertise and guidance to Pilot Project investigators and other Center investigators on selection of data sources (genomic and other biomarkers, clinical, symptom self-reports, quantified-self, environmental) and analytic approaches (biostatistics, statistical genetics, data science) for symptom self-management, and 4. Support the implementation of the data science components (e.g., network analysis, topic modeling) of the formative and summative evaluation plan. To achieve these aims, the Precision Medicine Core integrates expertise and resources related to variety of data sources (genomic and other biomarkers, clinical, symptom self-reports, quantified-self, environmental) and analytic approaches (biostatistics, statistical genetics, data science). A federated information architecture supports instantiation of the Social Ecological Model with multiple data sources and tools to enable precision in characterization of genotype and phenotype, precision in identification of intervention targets, and precision in intervention. The Precision Medicine Core is innovative in its focus on Latinos who vary significantly in genetic ancestry as well as cultural background and in the use of the Columbia GENIE Virtual Biobank to locate existing “omics” data resources for pilot projects. The proposed precision approaches will advance the science of symptom self-management for Latinos in a manner consistent with the National Institutes of Health Symptom Management Model.

项目总结：精准医芯 Precision in症状自我管理(PriSSM)中心的目标是推动 通过社会生态视角对拉美裔人的症状自我管理 生命过程中的个人、人际、组织和环境因素。在…的背景下 PriSSM中心的总体具体目标，精密医学核心的目标是： 1.建立、完善和维护Precision Medicine的核心社会技术基础设施 收集和/或检索、存储、分析、解释和集成多个数据源以 支持中心(A)设计和实施六个症状自我管理试点项目和(B) 创建和维护适用于与美国国家科学院共享的通用数据元素注册表 健康和其他方面， 2.扩大和利用现有的机构“组学”数据资源，包括哥伦比亚基因组 与EHR(精灵)虚拟生物库集成， 3.向试点项目调查员和其他中心调查员提供专业知识和指导 数据来源的选择(基因组和其他生物标记物、临床、症状自我报告、量化自我、 环境)和分析方法(生物统计学、统计遗传学、数据科学) 自我管理，以及 4.支持实施数据科学组件(例如，网络分析、主题建模) 形成性和总结性评价计划。 为了实现这些目标，精准医疗核心整合了与各种 数据来源(基因组和其他生物标记物、临床、症状自我报告、量化自我、环境) 和分析方法(生物统计学、统计遗传学、数据科学)。联合信息体系结构 支持使用多个数据源和工具实例化社会生态模型，以实现 基因和表型的特征，确定干预目标的精确度，以及 干预。Precision Medicine Core在关注拉美裔美国人方面具有创新性，这些拉美裔美国人的基因差异很大 以及在使用哥伦比亚精灵虚拟生物库来定位祖先以及文化背景 现有的试点项目的“组学”数据资源。提出的精确方法将推动科学的发展。 以与国家卫生研究院一致的方式对拉丁裔人进行症状自我管理 症状管理模型。