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Open AccessArticle

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

Department of Life Science, Dongguk University-Seoul, Seoul 04620, Korea
Department of Computer Science and Engineering, Dongguk University-Seoul, Seoul 04620, Korea
Western Seoul Center, Korea Basic Science Institute, Seoul 03759, Korea
Authors to whom correspondence should be addressed.
Genes 2019, 10(11), 864;
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
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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.

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