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 #
5U01HL089856-13
Application #
9765364
Study Section
Special Emphasis Panel (ZHL1)
Program Officer
Gan, Weiniu
Project Start
2007-09-27
Project End
2022-07-31
Budget Start
2019-08-01
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
Hayden, Lystra P; Hardin, Megan E; Qiu, Weiliang et al. (2018) Asthma Is a Risk Factor for Respiratory Exacerbations Without Increased Rate of Lung Function Decline: Five-Year Follow-up in Adult Smokers From the COPDGene Study. Chest 153:368-377
Han, MeiLan K; Tayob, Nabihah; Murray, Susan et al. (2018) Association between Emphysema and Chronic Obstructive Pulmonary Disease Outcomes in the COPDGene and SPIROMICS Cohorts: A Post Hoc Analysis of Two Clinical Trials. Am J Respir Crit Care Med 198:265-267
Prokopenko, Dmitry; Sakornsakolpat, Phuwanat; Fier, Heide Loehlein et al. (2018) Whole-Genome Sequencing in Severe Chronic Obstructive Pulmonary Disease. Am J Respir Cell Mol Biol 59:614-622
Ross, James C; Castaldi, Peter J; Cho, Michael H et al. (2018) Longitudinal Modeling of Lung Function Trajectories in Smokers with and without Chronic Obstructive Pulmonary Disease. Am J Respir Crit Care Med 198:1033-1042
Hancock, D B; Guo, Y; Reginsson, G W et al. (2018) Genome-wide association study across European and African American ancestries identifies a SNP in DNMT3B contributing to nicotine dependence. Mol Psychiatry 23:1-9
Sharma, Amitabh; Kitsak, Maksim; Cho, Michael H et al. (2018) Integration of Molecular Interactome and Targeted Interaction Analysis to Identify a COPD Disease Network Module. Sci Rep 8:14439
Cabana-Domínguez, Judit; Arenas, Concepció; Cormand, Bru et al. (2018) MiR-9, miR-153 and miR-124 are down-regulated by acute exposure to cocaine in a dopaminergic cell model and may contribute to cocaine dependence. Transl Psychiatry 8:173
Bian, Z; Charbonnier, J-P; Liu, J et al. (2018) Small airway segmentation in thoracic computed tomography scans: a machine learning approach. Phys Med Biol 63:155024
Wells, J Michael; Parker, Margaret M; Oster, Robert A et al. (2018) Elevated circulating MMP-9 is linked to increased COPD exacerbation risk in SPIROMICS and COPDGene. JCI Insight 3:
Bhatt, Surya P; Kazerooni, Ella A; Newell Jr, John D et al. (2018) Visual Estimate of Coronary Artery Calcium Predicts Cardiovascular Disease in COPD. Chest 154:579-587

Showing the most recent 10 out of 220 publications