Omics Data Integration to Identify Disease Pathways in COPD

组学数据整合识别慢性阻塞性肺病的疾病途径

• 批准号: 9440672
• 负责人: RUSSELL Paul BOWLER
• 金额: $ 11.73万
• 依托单位: UNIVERSITY OF COLORADO DENVER
• 依托单位国家: 美国
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-09-15 至 2019-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9440672
• 关键词: Age; Animal Model; Biological Markers; Biology; Blood; Cause of Death; Characteristics; Chronic; Chronic Obstructive Airway Disease; Classification Scheme; Clinical; Complement; Complex; Computers; Data; Data Set; Development; Diagnostic tests; Disease; Disease Pathway; Disease Progression; Disease stratification; Distal; Early treatment; Foundations; Funding; Gene Expression; Genetic; Genomics; Goals; Grant; Heart Diseases; Hematological Disease; Individual; Investigation; Knowledge; Lead; Lung diseases; Machine Learning; Methods; Minority; Molecular; Molecular Profiling; Molecular Target; National Heart, Lung, and Blood Institute; Pathway interactions; Phase; Phenotype; Preparation; Prevention; Proteins; Proteomics; Public Health; Pulmonary Emphysema; Research Personnel; Resources; Respiratory physiology; Risk; Risk Factors; Sample Size; Sampling; Scientist; Severity of illness; Sleep Disorders; Smoker; Smoking; Source; Supervision; System; Time; United States; United States National Institutes of Health; Variant; Work; base; clinical phenotype; cohort; computerized data processing; data integration; data mining; data space; disease phenotype; disorder control; disorder subtype; genome wide association study; high dimensionality; human disease; improved; learning strategy; metabolomics; molecular subtypes; multidisciplinary; multiple omics; new therapeutic target; novel; novel diagnostics; novel therapeutic intervention; outcome forecast; response; secondary analysis; treatment strategy

Project Summary Although chronic obstructive pulmonary disease (COPD) occurs predominantly in smokers, it is unknown why only a minority of smokers (~20-40%) develops chronic airflow limitation and/or destruction of distal airspaces (emphysema). Using several NIH and foundation grants, we have systematically generated genetic, genomics, proteomic, and metabolomics profiles from the NHLBI supported COPDGene cohort, which includes 10,300 current and former smokers age 45-80. This proposal will focus on integrating the omics data generated in the five-year followup (Phase II) of the COPDgene study to identify molecular subtypes of COPD across a broad range of blood profiles (Specific Aim 1). Biomarkers and pathways discriminating the molecular subtypes, in addition to other COPD phenotypes will then be identified (Specific Aim 2). These results will identify markers that are specific to smoking-related lung disease and can be used to develop novel diagnostic tests and therapies for early prevention and treatment of COPD.

项目摘要 尽管慢性阻塞性肺疾病(COPD)主要发生在吸烟者身上，但它 未知为什么只有少数吸烟者(约20%-40%)出现慢性气流受限和/或 破坏远端空间(肺气肿)。使用几笔NIH和基金会的赠款，我们有 系统地生成遗传、基因组、蛋白质和代谢组学简档 NHLBI支持COPDgene队列，其中包括10,300名现在和以前的吸烟者 45比80。该提案将侧重于整合在五年后续行动中产生的组学数据 (第二阶段)COPD基因研究，以确定广泛的COPD分子亚型 血型范围(具体目标1)。识别分子的生物标志物和途径 然后将确定除其他COPD表型外的亚型(具体目标2)。这些 结果将确定与吸烟相关的肺部疾病的特异性标志物，并可用于 开发新的诊断测试和治疗方法，以早期预防和治疗COPD。