Next Article in Journal
The Many Faces of Gene Regulation in Cancer: A Computational Oncogenomics Outlook
Next Article in Special Issue
Development of Tissue-Specific Age Predictors Using DNA Methylation Data
Previous Article in Journal
Evidence for Adaptive Selection in the Mitogenome of a Mesoparasitic Monogenean Flatworm Enterogyrus malmbergi
Previous Article in Special Issue
Identification of Key Genes for the Precise Classification between Solenopsis invicta and S. geminata Facilitating the Quarantine Process
Open AccessArticle

Meta-Analysis of Polymyositis and Dermatomyositis Microarray Data Reveals Novel Genetic Biomarkers

1
Department of Life Science, Dongguk University-Seoul, Seoul 04620, Korea
2
Department of Computer Science and Engineering, Dongguk University-Seoul, Seoul 04620, Korea
3
Western Seoul Center, Korea Basic Science Institute, Seoul 03759, Korea
*
Authors to whom correspondence should be addressed.
Genes 2019, 10(11), 864; https://doi.org/10.3390/genes10110864
Received: 10 September 2019 / Revised: 7 October 2019 / Accepted: 25 October 2019 / Published: 30 October 2019
Polymyositis (PM) and dermatomyositis (DM) are both classified as idiopathic inflammatory myopathies. They share a few common characteristics such as inflammation and muscle weakness. Previous studies have indicated that these diseases present aspects of an auto-immune disorder; however, their exact pathogenesis is still unclear. In this study, three gene expression datasets (PM: 7, DM: 50, Control: 13) available in public databases were used to conduct meta-analysis. We then conducted expression quantitative trait loci analysis to detect the variant sites that may contribute to the pathogenesis of PM and DM. Six-hundred differentially expressed genes were identified in the meta-analysis (false discovery rate (FDR) < 0.01), among which 317 genes were up-regulated and 283 were down-regulated in the disease group compared with those in the healthy control group. The up-regulated genes were significantly enriched in interferon-signaling pathways in protein secretion, and/or in unfolded-protein response. We detected 10 single nucleotide polymorphisms (SNPs) which could potentially play key roles in driving the PM and DM. Along with previously reported genes, we identified 4 novel genes and 10 SNP-variant regions which could be used as candidates for potential drug targets or biomarkers for PM and DM. View Full-Text
Keywords: polymyositis; dermatomyositis; meta-analysis; multiple-phenotype analysis polymyositis; dermatomyositis; meta-analysis; multiple-phenotype analysis
Show Figures

Figure 1

MDPI and ACS Style

Song, J.; Kim, D.; Hong, J.; Kim, G.W.; Jung, J.; Park, S.; Park, H.J.; Joo, J.W.J.; Jang, W. Meta-Analysis of Polymyositis and Dermatomyositis Microarray Data Reveals Novel Genetic Biomarkers. Genes 2019, 10, 864.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop