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: 10488276
• 负责人: ABEL N KHO
• 金额: $ 334.01万
• 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/10488276
• 关键词: 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; Crystallization; Data; Data Aggregation; Data Coordinating Center; Data Science; Data Scientist; Data Set; Doctor of Philosophy; EFRAC; Electronic Health Record; Ensure; Epidemiology; Failure; Follow-Up Studies; Goals; Heart failure; Image; International; Investigation; Lead; Leadership; Machine Learning; Medicine; Molecular; Monitor; Morbidity - disease rate; Multicenter Studies; National Heart, Lung, and Blood Institute; Observational Study; Ontology; Operations Research; Outcome; Participant; Patient-Focused Outcomes; Patients; Phenotype; Prevalence; Protocols documentation; Research; Research Personnel; Research Priority; Resources; Sampling; Science; Site; Standardization; Surveys; Time; Trans-Omics for Precision Medicine; Translational Research; Translations; Universities; Validation; adjudicate; advanced analytics; base; 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; outreach; phenomics; phenotypic data; 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.

项目总结 西北心脏共享解码-HF的总体目标：将数据转换中心与 心力衰竭亚型和治疗的组学、深度表型和电子健康记录 目标是为HeartShare提供全面管理和监督，包括协调和 跨计划的所有部分和核心，以及与4个心脏共享临床中心的沟通 (CCS)。数据翻译中心(DTC)将需要确保及时完成回顾和 HeartShare的预期组件。在我们的应用中，我们展示了以下能力和先前的经验 我们的多PI团队以及领导和领导大规模、多中心研究的核心领导者，尤其是 在心力衰竭领域保留射血分数(HFpEF)，基于电子健康记录(EHR) 调查、深度表型分析、机器学习和生物信息库。对于回顾和 对于未来的心脏共享组件，西北DTC将利用其在以下方面的丰富经验：(1) 拥有已判定的心力衰竭患者数据的队列和试验，以及(2)其领导力和跟踪记录位居榜首 参加HFpEF试验/研究，以确保心脏共享CCS的最佳招募。我们还将利用我们的 在HFpEF、数据协调/管理、BioData Catalyst、基于EHR的研究、生物统计、 机器学习、多组学、人机交互和移动健康数据监测(1) 成功执行HeartShare计划并(2)实现HeartShare DTC目标，即提供丰富的 向研究界提供资源，以促进下一代表型组学的科学，以确定HFpEF 亚型和治疗靶点。我们的心脏分享DTC将履行其4个主要职责中的每一个。(1) 行政和外联核心将监督心脏共享计划的运作、研究技能 开发，并向CCS支付深入的表型成本；支持呼叫中心跟踪患者的结果； 并促进临床和分子数据的快速和广泛数据共享。(2)数据门户核心将作为 所有HeartShare数据的主要接入点(通过基于Web的界面)和协调中心；以及 开发面向患者的基于Web的交互式界面，用于远程同意、填写表格和收集 使用BioData Catalyst工具管理移动健康数据。(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 BIOSPECIMEN和成像生物库；并与TOPMed集成进行组学分析。(4)队列核心 将从已完成的流行病学队列和心力衰竭试验中收集关于心力衰竭患者的数据，并将数据结合起来 进一步对现有样本进行生物图谱分析，以发现/验证新的靶标。