Chronic obstructive pulmonary disease (COPD), the third leading cause of death in the United States, is a heterogeneous syndrome. Comprehensive insight into COPD heterogeneity requires longitudinal data to elucidate the genetic, clinical, and radiographic determinants of disease progression. This proposal will extend the COPDGene Study by performing ten-year longitudinal follow-up visits on all available COPDGene subjects, with follow-up chest CT scans. The primary goals of COPDGene are: a) To identify new genetic loci that influence the development of COPD and COPD-related phenotypes; b) To reclassify COPD into subtypes that can ultimately be used to develop effective subtype-specific therapies; and c) To translate the findings in COPDGene to improve diagnostic and prognostic approaches to COPD in general clinical populations. The primary hypothesis for this renewal application is that extensive genetic and longitudinal phenotypic data in subjects with COPD or at risk for COPD will enable creation and validation of a new classification system for COPD with distinct diagnostic and prognostic implications.
The specific aims are: 1) To evaluate progression of COPD by completing a ten-year follow-up of all available subjects in the COPDGene cohort using clinical phenotyping and both quantitative and visual analysis of chest CT scans; 2) To use whole genome sequencing analysis on the COPDGene cohort to identify both rare and common genetic determinants of susceptibility and progression of disease in COPD subtypes and to create effective genetic risk scores for COPD; and 3) To translate COPDGene findings on COPD subtypes and genetics to general clinical populations by interaction with clinical Lung Cancer Screening Programs. It is anticipated that whole genome sequencing analysis will be completed on the entire COPDGene cohort through the TOPMed program. This data in combination with ten-year longitudinal clinical data and CT imaging data on the cohort is expected to enable identification of novel genetic associations for unique COPD subtypes. The long-term goal is to enable enhanced diagnostic, prognostic and therapeutic approaches for personalized therapy in COPD.

Public Health Relevance

We propose a ten-year longitudinal follow-up of subjects in COPDGene, an extensively phenotyped cohort of more than 10,000 non-Hispanic White and African American smokers at risk for or with COPD. Whole genome sequencing is being performed to identify rare and common genetic determinants of COPD. The comprehensive clinical, imaging, and genetic data is being used to develop and validate a new classification system for COPD.

Agency
National Institute of Health (NIH)
Institute
National Heart, Lung, and Blood Institute (NHLBI)
Type
Research Project--Cooperative Agreements (U01)
Project #
3U01HL089856-13S1
Application #
9999137
Study Section
Special Emphasis Panel (ZHL1)
Program Officer
Gan, Weiniu
Project Start
2007-09-27
Project End
2020-07-31
Budget Start
2019-08-25
Budget End
2020-07-31
Support Year
13
Fiscal Year
2019
Total Cost
Indirect Cost
Name
Brigham and Women's Hospital
Department
Type
DUNS #
030811269
City
Boston
State
MA
Country
United States
Zip Code
02115
Copeland, Carla R; Nath, Hrudaya; Terry, Nina L J et al. (2018) Paratracheal Paraseptal Emphysema and Expiratory Central Airway Collapse in Smokers. Ann Am Thorac Soc 15:479-484
Diaz, Alejandro A; Strand, Matthew; Coxson, Harvey O et al. (2018) Disease Severity Dependence of the Longitudinal Association Between CT Lung Density and Lung Function in Smokers. Chest 153:638-645
Zhu, Huanhuan; Zhang, Shuanglin; Sha, Qiuying (2018) A novel method to test associations between a weighted combination of phenotypes and genetic variants. PLoS One 13:e0190788
Hayden, Lystra P; Cho, Michael H; Raby, Benjamin A et al. (2018) Childhood asthma is associated with COPD and known asthma variants in COPDGene: a genome-wide association study. Respir Res 19:209
Yun, Jeong H; Lamb, Andrew; Chase, Robert et al. (2018) Blood eosinophil count thresholds and exacerbations in patients with chronic obstructive pulmonary disease. J Allergy Clin Immunol 141:2037-2047.e10
Diaz, Alejandro A; Martinez, Carlos H; Harmouche, Rola et al. (2018) Pectoralis muscle area and mortality in smokers without airflow obstruction. Respir Res 19:62
Halper-Stromberg, Eitan; Yun, Jeong H; Parker, Margaret M et al. (2018) Systemic Markers of Adaptive and Innate Immunity Are Associated with Chronic Obstructive Pulmonary Disease Severity and Spirometric Disease Progression. Am J Respir Cell Mol Biol 58:500-509
Morrow, Jarrett D; Cho, Michael H; Platig, John et al. (2018) Ensemble genomic analysis in human lung tissue identifies novel genes for chronic obstructive pulmonary disease. Hum Genomics 12:1
DeMeo, Dawn L; Ramagopalan, Sreeram; Kavati, Abhishek et al. (2018) Women manifest more severe COPD symptoms across the life course. Int J Chron Obstruct Pulmon Dis 13:3021-3029
Jiang, Yu; Chen, Sai; McGuire, Daniel et al. (2018) Proper conditional analysis in the presence of missing data: Application to large scale meta-analysis of tobacco use phenotypes. PLoS Genet 14:e1007452

Showing the most recent 10 out of 220 publications