Key result
Cross-trait analysis identifies 6 new genetic loci linked to dermatomyositis and polymyositis.
The study identifies six novel genetic loci associated with idiopathic inflammatory myopathies, advancing the understanding of its pathogenesis.
for MTAG) were clumped and subjected to both functional annotation in FUMA and Gene Ontology (GO) biological process enrichment analysis using clusterProfiler. We identified six previously unreported loci, including three associated with dermatomyositis (chr12:58674304T>C, chr13:110799415C>T, and chr17:38103285G>A (hg19)) and three associated with polymyositis (PM) (chr4:971496T>C, chr6:396321C>T, and chr6:32650631C>A). All non-HLA loci act as expression quantitative trait loci (eQTL) or localize within enhancer regions. Notably, these include cis-eQTLs for known IIM risk-associated genes (GSDMB, DGKQ, SLC26A1, and IDUA) as well as genes implicated in synaptic vesicle cycle (SVC) pathways, immune regulation (IKZF3, ORMDL3, IRF4, DUSP22, and SPON2), protein homeostasis (ATP23 and PSMD3), lipid metabolism (PGAP3, ORMDL3, STARD3, and DGKQ), and myopathy (COL4A1). GO analysis revealed significance for SVC pathways in PM (FDR < 0.05). These findings advance our understanding of IIM pathogenesis from a genetic perspective and highlight candidate regulatory variants for further mechanistic investigation.
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Ian et al. (2026) studied Idiopathic inflammatory myopathies (IIM). Genetic variants was evaluated on Identification of genetic loci associated with IIM. Cross-trait analysis identified six previously unreported genetic loci associated with dermatomyositis and polymyositis, highlighting candidate regulatory variants for IIM pathogenesis.
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