HeartShare DeCODE-HF: Data translation center to Combine Omics, Deep phenotyping, and Electronic health records for Heart Failure subtypes and treatment targets

HeartShare DeCODE-HF：数据翻译中心，结合组学、深度表型分析和电子健康记录，了解心力衰竭亚型和治疗目标

• 批准号: 10678959
• 负责人: ABEL N KHO
• 金额: $ 333.35万
• 依托单位: NORTHWESTERN UNIVERSITY AT CHICAGO
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-09-13 至 2026-06-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10678959
• 关键词: Acceleration; Address; Ancillary Study; Area; Bioinformatics; Biological Specimen Banks; Biometry; Blood Vessels; Cardiac; Cardiovascular system; Clinical; Clinical Informatics; Clinical Research; Cohort Studies; Collaborations; Collection; Committee Members; Communication; Communities; Data; Data Aggregation; Data Coordinating Center; Data Science; Data Scientist; Data Set; Disparate; Doctor of Philosophy; EFRAC; EHR research; Electronic Health Record; Ensure; Epidemiology; Follow-Up Studies; Goals; Heart failure; Height; Image; International; Investigation; Leadership; Machine Learning; Medicine; Molecular; Monitor; Morbidity - disease rate; Multicenter Studies; National Heart, Lung, and Blood Institute; Observational Study; Ontology; Outcome; Participant; Patient-Focused Outcomes; Patients; Phenotype; Prevalence; Protocols documentation; Research; Research Personnel; Research Priority; Resources; Sampling; Science; Site; Standardization; Surveys; Trans-Omics for Precision Medicine; Translational Research; Translations; Universities; Validation; adjudication; advanced analytics; biobank; catalyst; clinical center; cohort; computer human interaction; cost; data integration; data management; data portal; data quality; effective therapy; electronic consent; experience; health data; image archival system; mHealth; machine learning pipeline; meetings; mortality; multiple omics; next generation; novel; novel strategies; operation; outreach; phenomics; precision medicine; preservation; programs; prospective; recruit; remote consent; skill acquisition; statistics; therapeutic target; tool; web based interface; working group

PROJECT SUMMARY The Overarching Aim of the Northwestern HeartShare DeCODE-HF: Data translation center to Combine Omics, Deep phenotyping, and Electronic health records for Heart Failure subtypes and treatment targets is to provide overall management and oversight for HeartShare, including coordination and communication across all subsections and cores of the program, and with the 4 HeartShare Clinical Centers (CCs). The Data Translation Center (DTC) will need to ensure timely completion of the retrospective and prospective components of HeartShare. In our application, we demonstrate the ability and prior experience of our multi-PI team and core leaders in the conduct and leadership of large-scale, multi-center studies, particularly in the realms of heart failure with preserved ejection fraction (HFpEF), electronic health record (EHR)-based investigation, deep phenotyping, machine learning, and biorepositories. For both the retrospective and prospective HeartShare components, the Northwestern DTC will leverage its considerable experience in: (1) cohorts and trials that have data on adjudicated HF patients, and (2) its leadership and track record as the top enroller in HFpEF trials/studies to ensure optimal recruitment by the HeartShare CCs. We will also leverage our expertise in HFpEF, data coordination/management, BioData Catalyst, EHR-based research, biostatistics, machine learning, multi-omics, human-computer interaction, and mobile health data monitoring to (1) successfully execute the HeartShare program and (2) meet the HeartShare DTC goals of providing a rich resource to the research community to advance the science of next-generation phenomics to identify HFpEF subtypes and therapeutic targets. Our HeartShare DTC will carry out each of its 4 primary responsibilities. (1) The Administrative and Outreach Core will oversee HeartShare program operations, research skills development, and capitation to CCs for deep phenotyping costs; support a call center to follow patient outcomes; and promote rapid and broad data-sharing of clinical and molecular data. (2) The Data Portal Core will serve as the primary access point (via a web-based interface) and coordinating center for all HeartShare data; and to develop an interactive patient-facing web-based interface for remote consent, completion of forms, and collection of mobile health data using BioData Catalyst tools. (3) The Data Management Core will oversee ensure data quality, integration and harmonization of various data types; perform advanced analytics; coordinate biospecimen and imaging biorepositories; and integrate with TOPMed for omics analyses. (4) The Cohort Core will aggregate data on HF patients from completed epidemiology cohorts and HF trials and will combine data with further bioprofiling of existing samples to allow discovery/validation of novel targets.

项目摘要 西北心脏夏形解码-HF的总体目的：数据翻译中心合并 心力衰竭亚型和治疗的OMICS，深层表型和电子健康记录 目标是为心脏展示提供整体管理和监督，包括协调和 该计划的所有小节和核心以及4个心脏临床中心的沟通 （CCS）。数据翻译中心（DTC）将需要确保及时完成回顾性和 心灵的前瞻性组成部分。在我们的应用中，我们证明了 我们的Multi-Pi团队和核心领导者在大规模，多中心研究的行为和领导下，特别是 在心力衰竭的领域，具有射血分数（HFPEF），基于电子健康记录（EHR） 调查，深度表型，机器学习和生物库。对于回顾和 西北DTC的潜在心脏夏形组件将利用其丰富的经验：（1） 具有裁决的HF患者数据的同类和试验，以及（2）其领导和往绩记录为顶级 HFPEF试验/研究的注册者，以确保心脏病ccs的最佳募集。我们还将利用我们的 HFPEF，数据协调/管理，生物ATA催化剂，基于EHR的研究，生物统计学的专业知识， 机器学习，多媒体，人类计算机互动和移动健康数据监视（1） 成功执行心脏计划，（2）实现提供富人的心莎米DTC目标 向研究界的资源来推进下一代现象学的科学以识别HFPEF 亚型和治疗靶标。我们的心脏DTC将履行其4个主要职责中的每一项。 （1） 行政和宣传核心将监督心脏计划的操作，研究技能 开发，以及对CCS进行深层表型成本的推动；支持呼叫中心遵循患者的结果； 并促进临床和分子数据的快速和广泛的数据共享。 （2）数据门户核心将作为 主要接入点（通过基于Web的接口）和所有心脏数据的协调中心；然后 开发一个互动的基于患者的互动式网络界面，以备远程同意，表格完成和收集 使用生物ATA催化剂工具的移动健康数据。 （3）数据管理核心将监督确保数据 各种数据类型的质量，集成和协调；执行高级分析；协调 生物测量和成像生物膜；并与最高的OMICS分析集成。 （4）队列核心 将汇总来自完整流行病学队列和HF试验的HF患者的数据，并将数据结合 通过对现有样品进行进一步的生物培训，允许发现/验证新目标。