Causal Path of COPD Progression-Associated Genes in Different Biological Samples.
COPD
candidate genes
elastic-net logistic regression
structure equation model
Journal
COPD
ISSN: 1541-2563
Titre abrégé: COPD
Pays: England
ID NLM: 101211769
Informations de publication
Date de publication:
2022
2022
Historique:
entrez:
13
6
2022
pubmed:
14
6
2022
medline:
16
6
2022
Statut:
ppublish
Résumé
Chronic obstructive pulmonary disease (COPD) is a progressive inflammatory disease with pulmonary and extra-pulmonary complications. Due to the disease's systemic nature, many investigations investigated the genetic alterations in various biological samples. We aimed to infer causal genes in COPD's pathogenesis in different biological samples using elastic-net logistic regression and the Structural Equation Model. Samples of small airway epithelial cells, bronchoalveolar lavage macrophages, lung tissue biopsy, sputum, and blood samples were selected (135, 70, 235, 143, and 226 samples, respectively). Elastic-net Logistic Regression analysis was implemented to identify the most important genes involved in COPD progression. Thirty-three candidate genes were identified as essential factors in the pathogenesis of COPD and regulation of lung function. Recognized candidate genes in small airway epithelial (SAE) cells have the highest area under the ROC curve (AUC = 97%, SD = 3.9%). Our analysis indicates that macrophages and epithelial cells are more influential in COPD progression at the transcriptome level.
Identifiants
pubmed: 35696265
doi: 10.1080/15412555.2022.2081541
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM