Meta-Analysis of Polymyositis and Dermatomyositis Microarray Data Reveals Novel Genetic Biomarkers.
Jaeseung SongDaeun KimJuyeon HongGo Woon KimJunghyun JungSejin ParkHee Jung ParkJong Wha J JooWonhee JangPublished in: Genes (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.
Keyphrases
- genome wide
- systematic review
- particulate matter
- dna methylation
- air pollution
- interstitial lung disease
- bioinformatics analysis
- gene expression
- polycyclic aromatic hydrocarbons
- heavy metals
- meta analyses
- case control
- water soluble
- copy number
- oxidative stress
- genome wide identification
- poor prognosis
- healthcare
- glycemic control
- systemic sclerosis
- signaling pathway
- metabolic syndrome
- type diabetes
- disease activity
- high resolution
- endoplasmic reticulum stress
- immune response
- binding protein
- risk assessment
- climate change
- protein protein
- data analysis
- epithelial mesenchymal transition
- weight loss
- idiopathic pulmonary fibrosis
- myasthenia gravis