IGF::OT::IGF Centralized Omics REsource (CORE)

IGF::OT::IGF 集中组学资源 (CORE)

• 批准号: 9365893
• 负责人: RICHARD GIBBS
• 金额: $ 3328.29万
• 依托单位: BAYLOR COLLEGE OF MEDICINE
• 依托单位国家: 美国
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-09-26 至 2017-09-25
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9365893
• 关键词: Award; Behavioral; Blood; Clinical; Clinical Data; Collection; Communities; Contracts; Coupling; DNA Methylation; Data; Disease; Ensure; Genetic Transcription; Health; Heart; Image; Institutes; Lung; Medicine; Methylation; Molecular; Molecular Profiling; National Heart, Lung, and Blood Institute; Outcome; Population Heterogeneity; Precision Medicine Initiative; Proteomics; Research; Resources; Sleep Disorders; System; Trans-Omics for Precision Medicine; epigenomics; genome sequencing; genome-wide; metabolomics; precision medicine; 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 Trans-Omics for Precision Medicine(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甲基化签名、RNA表达谱、代谢物谱)与来自心、肺、血液和睡眠(HLBS)疾病研究的分子、行为、成像、环境和临床数据，并将其结合起来，支持研究所更大的精密医学倡议。 TOPMed计划旨在： ·收集并组合-组学(RNAseq、甲基化、代谢组学、表观基因组学和蛋白质组学)数据和不同人群的WGS和临床结果数据，包括那些传统上在研究中代表性较低的人群。 ·建立一个数据共享储存库，科学界可以将其用于未来的研究，并使精确医学成为可能。 ·鼓励系统医学方法，帮助组织数据，以确保数据对健康疾病研究是可访问和可解释的。 ·促进对HLBS疾病的基本机制的发现。