DSP variants may be associated with longitudinal change in quantitative emphysema.


Journal

Respiratory research
ISSN: 1465-993X
Titre abrégé: Respir Res
Pays: England
ID NLM: 101090633

Informations de publication

Date de publication:
19 Jul 2019
Historique:
received: 22 03 2019
accepted: 12 06 2019
entrez: 21 7 2019
pubmed: 22 7 2019
medline: 17 1 2020
Statut: epublish

Résumé

Emphysema, characterized by lung destruction, is a key component of Chronic Obstructive Pulmonary Disease (COPD) and is associated with increased morbidity and mortality. Genome-wide association studies (GWAS) have identified multiple genetic factors associated with cross-sectional measures of quantitative emphysema, but the genetic determinants of longitudinal change in quantitative measures of emphysema remain largely unknown. Our study aims to identify genetic variants associated with longitudinal change in quantitative emphysema measured by computed tomography (CT) imaging. We included current and ex-smokers from two longitudinal cohorts: COPDGene, a study of Non-Hispanic Whites (NHW) and African Americans (AA), and the Evaluation of COPD Longitudinally to Identify Predictive Surrogate End-points (ECLIPSE). We calculated annual change in two quantitative measures of emphysema based on chest CT imaging: percent low attenuation area (≤ - 950HU) (%LAA-950) and adjusted lung density (ALD). We conducted GWAS, separately in 3030 NHW and 1158 AA from COPDGene and 1397 Whites from ECLIPSE. We further explored effects of 360 previously reported variants and a lung function based polygenic risk score on annual change in quantitative emphysema. In the genome-wide association analysis, no variants achieved genome-wide significance (P < 5e-08). However, in the candidate region analysis, rs2076295 in the DSP gene, previously associated with COPD, lung function and idiopathic pulmonary fibrosis, was associated with change in %LAA-950 (β (SE) = 0.09 (0.02), P = 3.79e-05) and in ALD (β (SE) = - 0.06 (0.02), P = 2.88e-03). A lung function based polygenic risk score was associated with annual change in %LAA-950 (P = 4.03e-02) and with baseline measures of quantitative emphysema (P < 1e-03) and showed a trend toward association with annual change in ALD (P = 7.31e-02). DSP variants may be associated with longitudinal change in quantitative emphysema. Additional investigation of the DSP gene are likely to provide further insights into the disease progression in emphysema and COPD. Clinicaltrials.gov Identifier: NCT00608764 , NCT00292552 .

Sections du résumé

BACKGROUND BACKGROUND
Emphysema, characterized by lung destruction, is a key component of Chronic Obstructive Pulmonary Disease (COPD) and is associated with increased morbidity and mortality. Genome-wide association studies (GWAS) have identified multiple genetic factors associated with cross-sectional measures of quantitative emphysema, but the genetic determinants of longitudinal change in quantitative measures of emphysema remain largely unknown. Our study aims to identify genetic variants associated with longitudinal change in quantitative emphysema measured by computed tomography (CT) imaging.
METHODS METHODS
We included current and ex-smokers from two longitudinal cohorts: COPDGene, a study of Non-Hispanic Whites (NHW) and African Americans (AA), and the Evaluation of COPD Longitudinally to Identify Predictive Surrogate End-points (ECLIPSE). We calculated annual change in two quantitative measures of emphysema based on chest CT imaging: percent low attenuation area (≤ - 950HU) (%LAA-950) and adjusted lung density (ALD). We conducted GWAS, separately in 3030 NHW and 1158 AA from COPDGene and 1397 Whites from ECLIPSE. We further explored effects of 360 previously reported variants and a lung function based polygenic risk score on annual change in quantitative emphysema.
RESULTS RESULTS
In the genome-wide association analysis, no variants achieved genome-wide significance (P < 5e-08). However, in the candidate region analysis, rs2076295 in the DSP gene, previously associated with COPD, lung function and idiopathic pulmonary fibrosis, was associated with change in %LAA-950 (β (SE) = 0.09 (0.02), P = 3.79e-05) and in ALD (β (SE) = - 0.06 (0.02), P = 2.88e-03). A lung function based polygenic risk score was associated with annual change in %LAA-950 (P = 4.03e-02) and with baseline measures of quantitative emphysema (P < 1e-03) and showed a trend toward association with annual change in ALD (P = 7.31e-02).
CONCLUSIONS CONCLUSIONS
DSP variants may be associated with longitudinal change in quantitative emphysema. Additional investigation of the DSP gene are likely to provide further insights into the disease progression in emphysema and COPD.
TRIAL REGISTRATION BACKGROUND
Clinicaltrials.gov Identifier: NCT00608764 , NCT00292552 .

Identifiants

pubmed: 31324189
doi: 10.1186/s12931-019-1097-8
pii: 10.1186/s12931-019-1097-8
pmc: PMC6642569
doi:

Substances chimiques

DSP protein, human 0
Desmoplakins 0

Banques de données

ClinicalTrials.gov
['NCT00608764', 'NCT00292552']

Types de publication

Clinical Trial Journal Article Multicenter Study

Langues

eng

Sous-ensembles de citation

IM

Pagination

160

Subventions

Organisme : NHLBI NIH HHS
ID : U01 HL089856
Pays : United States
Organisme : NHLBI NIH HHS
ID : U01 HL089897
Pays : United States
Organisme : GlaxoSmithKline
ID : NCT00292552

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Auteurs

Woori Kim (W)

Department of Epidemiology, Johns Hopkins School of Public Health, 615 N. Wolfe Street, Baltimore, MD, 21205, USA.
Channing Division of Network Medicine Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA.

Michael H Cho (MH)

Channing Division of Network Medicine Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA.
Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, MA, USA.

Phuwanat Sakornsakolpat (P)

Channing Division of Network Medicine Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA.
Department of Medicine Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.

David A Lynch (DA)

Department of Radiology, National Jewish Health, Denver, CO, USA.

Harvey O Coxson (HO)

Department of Radiology, University of British Columbia, British Columbia, Canada.

Ruth Tal-Singer (R)

GSK, Collegeville, PA, USA.

Edwin K Silverman (EK)

Channing Division of Network Medicine Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA.
Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, MA, USA.

Terri H Beaty (TH)

Department of Epidemiology, Johns Hopkins School of Public Health, 615 N. Wolfe Street, Baltimore, MD, 21205, USA. tbeaty1@jhu.edu.

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Classifications MeSH