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

基本信息

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
项目类别：
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

项目摘要

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）主要发生在吸烟者中未知为什么只有少数吸烟者（约20-40％）会产生慢性气流限制和/或远端空域（肺气肿）的破坏。使用几个NIH和基金会赠款，我们有系统产生的遗传学，基因组学，蛋白质组学和代谢组学特征 NHLBI支持Copdgene COHORT，其中包括10,300名当前和以前的吸烟者年龄 45-80。该提案将重点放在整合五年随访中生成的OMIC数据（COPDGENE研究的II阶段），以鉴定COPD的分子亚型血液谱范围（特定目标1）。生物标志物和途径区分分子除其他COPD表型外，还将确定亚型（特定目标2）。这些结果将确定特定于吸烟相关的肺部疾病的标记物，可用于开发新颖的诊断测试和疗法，用于早期预防和治疗COPD。