Open AccessIdentification of Hub Genes Associated with COPD Through Integrated Bioinformatics Analysis
Author(s) -
Lin Chen,
Donglan Zhu,
Jinfu Huang,
Hui Zhang,
Zhou Guang,
Xiaoning Zhong
Publication year - 2022
Publication title -
international journal of chronic obstructive pulmonary disease/international journal of copd
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 67
eISSN - 1178-2005
pISSN - 1176-9106
DOI - 10.2147/copd.s353765
Subject(s) - copd , kegg , medicine , downregulation and upregulation , pathogenesis , signal transduction , bioinformatics , gene , computational biology , immunology , gene expression , biology , genetics , transcriptome
Smoking is recognized as a risk factor for Chronic Obstructive Pulmonary Disease (COPD), yet only 20-25% of smokers eventually develop COPD. Since its molecular pathogenesis remains unclear, there is an important need to further understand genetic differences between smokers with COPD and healthy smokers, screen out high-risk and susceptible groups among smokers, and find effective therapeutic targets.