X chromosome associations with chronic obstructive pulmonary disease and related phenotypes: an X chromosome-wide association study.


Journal

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

Informations de publication

Date de publication:
01 Feb 2023
Historique:
received: 21 04 2022
accepted: 18 01 2023
entrez: 2 2 2023
pubmed: 3 2 2023
medline: 4 2 2023
Statut: epublish

Résumé

The association between genetic variants on the X chromosome to risk of COPD has not been fully explored. We hypothesize that the X chromosome harbors variants important in determining risk of COPD related phenotypes and may drive sex differences in COPD manifestations. Using X chromosome data from three COPD-enriched cohorts of adult smokers, we performed X chromosome specific quality control, imputation, and testing for association with COPD case-control status, lung function, and quantitative emphysema. Analyses were performed among all subjects, then stratified by sex, and subsequently combined in meta-analyses. Among 10,193 subjects of non-Hispanic white or European ancestry, a variant near TMSB4X, rs5979771, reached genome-wide significance for association with lung function measured by FEV This investigation identified loci influencing lung function, COPD, and emphysema in a comprehensive genetic association meta-analysis of X chromosome genetic markers from multiple COPD-related datasets. Sex differences play an important role in the pathobiology of complex lung disease, including X chromosome variants that demonstrate differential effects by sex and variants that may be relevant through escape from X chromosome inactivation. Comprehensive interrogation of the X chromosome to better understand genetic control of COPD and lung function is important to further understanding of disease pathology. Trial registration Genetic Epidemiology of COPD Study (COPDGene) is registered at ClinicalTrials.gov, NCT00608764 (Active since January 28, 2008). Evaluation of COPD Longitudinally to Identify Predictive Surrogate Endpoints Study (ECLIPSE), GlaxoSmithKline study code SCO104960, is registered at ClinicalTrials.gov, NCT00292552 (Active since February 16, 2006). Genetics of COPD in Norway Study (GenKOLS) holds GlaxoSmithKline study code RES11080, Genetics of Chronic Obstructive Lung Disease.

Sections du résumé

BACKGROUND BACKGROUND
The association between genetic variants on the X chromosome to risk of COPD has not been fully explored. We hypothesize that the X chromosome harbors variants important in determining risk of COPD related phenotypes and may drive sex differences in COPD manifestations.
METHODS METHODS
Using X chromosome data from three COPD-enriched cohorts of adult smokers, we performed X chromosome specific quality control, imputation, and testing for association with COPD case-control status, lung function, and quantitative emphysema. Analyses were performed among all subjects, then stratified by sex, and subsequently combined in meta-analyses.
RESULTS RESULTS
Among 10,193 subjects of non-Hispanic white or European ancestry, a variant near TMSB4X, rs5979771, reached genome-wide significance for association with lung function measured by FEV
CONCLUSIONS CONCLUSIONS
This investigation identified loci influencing lung function, COPD, and emphysema in a comprehensive genetic association meta-analysis of X chromosome genetic markers from multiple COPD-related datasets. Sex differences play an important role in the pathobiology of complex lung disease, including X chromosome variants that demonstrate differential effects by sex and variants that may be relevant through escape from X chromosome inactivation. Comprehensive interrogation of the X chromosome to better understand genetic control of COPD and lung function is important to further understanding of disease pathology. Trial registration Genetic Epidemiology of COPD Study (COPDGene) is registered at ClinicalTrials.gov, NCT00608764 (Active since January 28, 2008). Evaluation of COPD Longitudinally to Identify Predictive Surrogate Endpoints Study (ECLIPSE), GlaxoSmithKline study code SCO104960, is registered at ClinicalTrials.gov, NCT00292552 (Active since February 16, 2006). Genetics of COPD in Norway Study (GenKOLS) holds GlaxoSmithKline study code RES11080, Genetics of Chronic Obstructive Lung Disease.

Identifiants

pubmed: 36726148
doi: 10.1186/s12931-023-02337-1
pii: 10.1186/s12931-023-02337-1
pmc: PMC9891756
doi:

Banques de données

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

Types de publication

Meta-Analysis Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

38

Subventions

Organisme : NHLBI NIH HHS
ID : R01 HL113264
Pays : United States
Organisme : NHLBI NIH HHS
ID : R01 HL089438
Pays : United States
Organisme : NIH HHS
ID : T32HL007427
Pays : United States
Organisme : NHLBI NIH HHS
ID : U01 HL089856
Pays : United States
Organisme : NHGRI NIH HHS
ID : R01 HG011393
Pays : United States
Organisme : NHLBI NIH HHS
ID : K08 HL136928
Pays : United States
Organisme : NHLBI NIH HHS
ID : P01 HL114501
Pays : United States
Organisme : NHLBI NIH HHS
ID : T32 HL007427
Pays : United States
Organisme : NHLBI NIH HHS
ID : U01 HL089897
Pays : United States
Organisme : NHLBI NIH HHS
ID : K23 HL136851
Pays : United States
Organisme : NCI NIH HHS
ID : R35 CA220523
Pays : United States
Organisme : NHLBI NIH HHS
ID : P01 HL105339
Pays : United States

Informations de copyright

© 2023. The Author(s).

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Auteurs

Lystra P Hayden (LP)

Division of Pulmonary Medicine, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA.
Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, 181 Longwood Ave, Boston, MA, 02115, USA.

Brian D Hobbs (BD)

Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, 181 Longwood Ave, Boston, MA, 02115, USA.
Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.

Robert Busch (R)

Division of Pulmonology, Allergy, and Critical Care, U.S. Food and Drug Administration, Silver Spring, MD, USA.

Michael H Cho (MH)

Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, 181 Longwood Ave, Boston, MA, 02115, USA.
Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.

Ming Liu (M)

Bioinformatics and Computational Biology Program, Worcester Polytechnic Institute, Worcester, MA, USA.

Camila M Lopes-Ramos (CM)

Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, 181 Longwood Ave, Boston, MA, 02115, USA.
Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA.

David A Lomas (DA)

UCL Respiratory, University College London, London, UK.

Per Bakke (P)

Department of Clinical Science, University of Bergen, Bergen, Norway.

Amund Gulsvik (A)

Department of Clinical Science, University of Bergen, Bergen, Norway.

Edwin K Silverman (EK)

Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, 181 Longwood Ave, Boston, MA, 02115, USA.
Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.

James D Crapo (JD)

Division of Pulmonary Sciences and Critical Care Medicine, National Jewish Health, Denver, CO, USA.

Terri H Beaty (TH)

Johns Hopkins School of Public Health, Baltimore, MD, USA.

Nan M Laird (NM)

Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA.

Christoph Lange (C)

Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA.

Dawn L DeMeo (DL)

Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, 181 Longwood Ave, Boston, MA, 02115, USA. dawn.demeo@channing.harvard.edu.
Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA. dawn.demeo@channing.harvard.edu.

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