Meta-analysis identifies genetic variants linked to inflammatory pathways in rheumatoid arthritis and axial spondyloarthritis
This meta-analysis examines genetic variants (SNPs) in three large European populations, including the UK Biobank, FinnGen, and REPAIR, involving 12,660 rheumatoid arthritis cases, 2,446 radiographic axial spondyloarthritis cases, and over 530,000 shared controls. The primary objective was the identification of new overlapping and disease-specific genetic risk factors, supported by secondary outcomes such as functional characterization through cytokine and protein assessments and eQTL analyses.
Specific genetic associations were identified, including the GRM4rs2495964G variant linked to decreased CCL25 levels (p = 0.00030) and the ITPR3rs9469540T variant linked to reduced IL10 production after LPS stimulation (p = 1.3×10−4). Additionally, the ZNF322rs6901425G allele was associated with reduced TNFB (p = 9.60×10−4) and increased TGM2 levels (p = 3.00×10−4). The BTN2A1rs1977199A allele demonstrated a protective effect in rheumatoid arthritis (OR = 0.93) but increased risk in radiographic axial spondyloarthritis (OR = 1.23), alongside associations with reduced IL22 (p = 0.00016) and elevated HO-1 in obese individuals (p = 6.73×10−6).
Further analysis indicated that BTN3A2rs9393716G and H2BC11rs66462181C variants increased rheumatoid arthritis risk but were protective in radiographic axial spondyloarthritis, linking to decreased HO-1 and IL6 (p = 2.43×10−5, 3.287×10−4, 1.18×10−4). The study offers insights for disease stratification and therapeutic targeting. As a meta-analysis of observational genetic data, these findings describe associations rather than confirming causal mechanisms or clinical outcomes.