Document Type
Article
Journal Title
Respiratory Research
Publication Date
2017
Volume
18
Abstract
BACKGROUND: Chronic obstructive pulmonary disease (COPD) is currently the third leading cause of death and there is a huge unmet clinical need to identify disease biomarkers in peripheral blood. Compared to gene level differential expression approaches to identify gene signatures, network analyses provide a biologically intuitive approach which leverages the co-expression patterns in the transcriptome to identify modules of co-expressed genes.
METHODS: A weighted gene co-expression network analysis (WGCNA) was applied to peripheral blood transcriptome from 238 COPD subjects to discover co-expressed gene modules. We then determined the relationship between these modules and forced expiratory volume in 1 s (FEV
RESULTS: Using WGCNA, we identified 17 modules of co-expressed genes in the discovery cohort. Three of these modules were significantly correlated with FEV
CONCLUSIONS: Network based approaches are promising tools to identify potential biomarkers for COPD.
TRIAL REGISTRATION: The ECLIPSE study was funded by GlaxoSmithKline, under ClinicalTrials.gov identifier NCT00292552 and GSK No. SCO104960.
MeSH Headings
Adult, Aged, Biomarkers, Computer Simulation, Cytokines, Female, Gene Expression Profiling, Humans, Male, Metabolic Networks and Pathways, Middle Aged, Models, Genetic, Pulmonary Disease, Chronic Obstructive, Reproducibility of Results, Sensitivity and Specificity
DOI Link
ISSN
1465-993X
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Recommended Citation
Obeidat, Ma'en; Nie, Yunlong; Chen, Virginia; Shannon, Casey P.; Andiappan, Anand Kumar; Lee, Bernett; Rotzschke, Olaf; Castaldi, Peter J.; Hersh, Craig P.; Fishbane, Nick; Ng, Raymond T.; McManus, Bruce; Miller, Bruce E.; Rennard, Stephen I.; Paré, Peter D.; and Sin, Don D., "Network-Based Analysis Reveals Novel Gene Signatures in Peripheral Blood of Patients with Chronic Obstructive Pulmonary Disease" (2017). Journal Articles: Pulmonary & Critical Care Med. 48.
https://digitalcommons.unmc.edu/com_pulm_articles/48
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