IGF::OT::IGF B599

IGF::OT::IGF B599

• 批准号: 9365892
• 负责人: DEBORAH NICKERSON
• 金额: $ 3513.13万
• 依托单位: UNIVERSITY OF WASHINGTON
• 依托单位国家: 美国
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-09-28 至 2017-09-27
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9365892
• 关键词: Behavioral; Blood; Caring; Clinical; Clinical Data; Clinical Trials; Communities; Coupling; DNA Methylation; Data; Diagnosis; Disease; Drug Targeting; Electronic Health Record; Ensure; Environment; Environmental Risk Factor; Genes; Genetic Markers; Genetic Transcription; Health; Heart; Image; Institutes; Lung; Medicine; Methylation; Molecular; Molecular Profiling; National Heart, Lung, and Blood Institute; Organ; Outcome; PMI cohort; Patients; Population Heterogeneity; Precision Medicine Initiative; Proteomics; Research; Risk; Sample Size; Sleep; Sleep Disorders; System; Testing; Tissues; Trans-Omics for Precision Medicine; Translating; United States National Institutes of Health; base; disorder subtype; epigenomics; genome sequencing; improved; mHealth; metabolomics; molecular marker; personalized intervention; precision medicine; prevent; programs; repository; whole genome

The NHLBI Trans-Omics for Precision Medicine (TOPMed) program will support the Institute’s larger precision medicine initiative by collecting and coupling whole-genome sequencing (WGS) and other -omics data (e.g., DNA methylation signature, RNA expression profiles, metabolite profiles) with molecular, behavioral, imaging, environmental, and clinical data from studies focused on heart, lung, blood and sleep (HLBS) disorders. The TOPMed program aims to: •Collect and assemble -omics (RNASeq, methylation, metabolomics, epigenomics, and proteomics) data with WGS and clinical outcomes data across diverse populations including those traditionally underrepresented in research. •Build a data commons repository that the scientific community can use for future research and to enable precision medicine. •Stimulate systems medicine approaches that help organize data to ensure they are accessible and interpretable for health disease research. •Promote discoveries about the fundamental mechanisms that underlie HLBS disorders.

NHLBI 精准医学跨组学 (TOPMed) 计划将通过收集全基因组测序 (WGS) 和其他组学数据（例如 DNA 甲基化特征、RNA 表达谱、代谢物谱）与来自心脏、肺、血液和睡眠研究的分子、行为、成像、环境和临床数据并将其结合起来，支持该研究所更大规模的精准医学计划 （HLBS）疾病。 TOPMed 计划旨在： •通过WGS 收集和组装组学（RNASeq、甲基化、代谢组学、表观基因组学和蛋白质组学）数据以及不同人群的临床结果数据，包括传统上在研究中代表性不足的人群。 •建立科学界可用于未来研究并实现精准医疗的数据共享存储库。 • 刺激系统医学方法，帮助组织数据，确保它们可用于健康疾病研究并可解释。 •促进HLBS 疾病的基本机制的发现。