Johns Hopkins Rheumatic Diseases Resource-based Core Center (Johns Hopkins RDRCC)

概述 项目总结 约翰霍普金斯风湿病学分部始终如一的哲学是 了解人类自身免疫性风湿病是通过对大量明确定义的 患者，随着时间的推移，通过收集丰富的表型数据，绘制疾病轨迹图，以及哪里 有可能，从血液和目标组织中获取和储存相关的生物材料。此存储库 然后可以使用数据和样本来将不同的诊断组分成更同质的 小组，使用跨越整个调查范围的工具。本P30提供了以下框架 组织(监督、管理)、业务(招聘、抽样、处理)、衡量和 分析(统计、计算和综合)专业知识，以实现有效的临床和翻译 研究。RDRCC竞争更新由Antony博士领导的管理核心(核心A)组成 Rosen和Clifton Bingham，包括3个科学核心：(I)核心B是精密医学数据 集成核心，由Bingham博士和Ami Shah博士共同领导；(Ii)核心C是样品处理和 免疫分析研究(SPIRE)核心，由Livia Casciola-Rosen博士和Erika Darrah博士共同领导；以及核心D 是由Scott Zeger博士领导的数据科学核心。该中心的结构是一个矩阵，旨在促进 通过最大限度地提高不同研究社区对数据和 风湿病患者的样本。核心A将促进高效、跨学科的研究 在整个研究社区和核心，并管理浓缩计划。核心B将与 我们的英才中心将把他们的研究业务带到约翰·霍普金斯精密医学 通过EPIC电子医疗加强临床和研究一体化的分析平台(PMAP) 记录系统。核心C将协调患者样本的处理、存储和分发，并提供多个 用于发现和验证生物标记物和疾病途径的免疫学分析。核心D将提供 高度创新的工具，能够分析风湿病患者的复杂纵向数据， 尤其是用于识别疾病子集的分层模型的设计和应用。

Overview PROJECT SUMMARY The abiding philosophy of the Johns Hopkins Division of Rheumatology is that the critical pathway to understanding human autoimmune rheumatic diseases is through the study of large numbers of well-defined patients, followed over time, with the collection of rich phenotypic data, mapping disease trajectory, and where possible, acquiring and storing relevant biological materials from blood and target tissue. This repository of data and samples can then be used to separate heterogeneous diagnostic groups into more homogeneous subgroups, using tools that span the entire spectrum of investigation. This P30 provides the framework for organizational (oversight, management), operational (recruitment, sampling, processing), measurement, and analytical (statistical, computational, and integrative) expertise to enable effective clinical and translational research. The RDRCC competitive renewal comprises an Administrative Core (Core A) led by Drs. Antony Rosen and Clifton Bingham, and includes 3 scientific Cores: (i) Core B is the Precision Medicine Data Integration Core, co-led by Dr. Bingham and Dr. Ami Shah; (ii) Core C is the Sample Processing and Immunoassay Research (SPIRE) Core, co-led by Dr. Livia Casciola-Rosen and Dr. Erika Darrah; and Core D is the Data Science Core, led by Dr. Scott Zeger. The Center is structured as a matrix, designed to foster collaborative and synergistic discovery by maximizing access of the diverse research community to data and samples from humans with rheumatic diseases. Core A will promote efficient, interdisciplinary research throughout the research community and Cores, and manage the enrichment program. Core B will work with our Centers of Excellence to bring their research operations onto the Johns Hopkins Precision Medicine Analytical Platform (PMAP) enhancing clinical and research integration through the Epic electronic medical record system. Core C will coordinate patient sample processing, storage and distribution, and provide multiple immunological assays for discovery and validation of biomarkers and disease pathways. Core D will provide highly innovative tools to enable analysis of complex longitudinal data in rheumatic disease patients, particularly with the design and application of hierarchical models to identify disease subsets.