GPNMB contributes to a vicious circle for chronic obstructive pulmonary disease
Autor: | Ancha Baranova, Xi-Juan Zhang, Yan Dong, Xiu-Wen Liang, Ling Wang, Zhong-Hua Cui, Yan-Xin Zhao, Hongbao Cao |
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Rok vydání: | 2020 |
Předmět: |
mega-analysis
Bioinformatics Respiratory System Population partial mega-analysis Biophysics Risk Assessment Biochemistry chronic obstructive pulmonary disease Pulmonary Disease Chronic Obstructive 03 medical and health sciences 0302 clinical medicine Risk Factors Databases Genetic Genetic variation Gene expression medicine Humans Gene Regulatory Networks Genetic Predisposition to Disease education Molecular Biology Gene Genetic Association Studies Research Articles COPD education.field_of_study Membrane Glycoproteins GPNMB Gene Expression & Regulation business.industry Gene Expression Profiling Computational Biology Genomics Cell Biology medicine.disease Comorbidity Fold change pathway analysis respiratory tract diseases Phenotype 030228 respiratory system 030220 oncology & carcinogenesis Osteoporosis Transcriptome business |
Zdroj: | Bioscience Reports |
ISSN: | 1573-4935 0144-8463 |
Popis: | Osteoporosis (OP) is significant and debilitating comorbidity of chronic obstructive pulmonary disease (COPD). We hypothesize that genetic variance identified with OP may also play roles in COPD. We have conducted a large-scale relation data analysis to explore the genes implicated with either OP or COPD, or both. Each gene linked to OP but not to COPD was further explored in a mega-analysis and partial mega-analysis of 15 independently collected COPD RNA expression datasets, followed by gene set enrichment analysis (GSEA) and literature-based pathway analysis to explore their functional linked to COPD. A multiple linear regression (MLR) model was built to study the possible influence of sample size, population region, and study date on the gene expression data in COPD. At the first step of the analysis, we have identified 918 genes associated with COPD, 581 with OP, and a significant overlap (P |
Databáze: | OpenAIRE |
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