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ABSTRACT: Background
The molecular basis of airway remodelling in chronic obstructive pulmonary disease (COPD) remains poorly understood. We identified gene expression signatures associated with chest computed tomography (CT) scan airway measures to understand molecular pathways associated with airway disease.Methods
In 2396 subjects in the COPDGene Study, we examined the relationship between quantitative CT airway phenotypes and blood transcriptomes to identify airway disease-specific genes and to define an airway wall thickness (AWT) gene set score. Multivariable regression analyses were performed to identify associations of the AWT score with clinical phenotypes, bronchial gene expression and genetic variants.Results
Type 1 interferon (IFN)-induced genes were consistently
SUBMITTER: Yun JH
PROVIDER: S-EPMC9245457 | biostudies-literature | 2022 May
REPOSITORIES: biostudies-literature