Table 4_Identification of new overlapping and disease-specific genetic risk factors for rh

A meta-analysis of genetic associations for rheumatoid arthritis (RA) and radiographic axial spondyloarthritis (r-axSpA) across three European cohorts. The dataset includes results for 12,660 RA cases, 2,446 r-axSpA cases, and over 530,000 shared controls, analyzing ten independent SNPs. It was authored by Antonio José Cabrera-Serrano and last updated on 2026-04-23.

Use Cases

• Identifying shared genetic risk loci for autoimmune diseases based on the ten independent SNPs analyzed.
• Investigating disease-specific genetic associations based on the described SNPs in BTN2A1, BTN3A2, and H2BC11.
• Linking genetic variants to immune mediators based on the functional characterization results for cytokines like CCL25, IL10, and IL22.
• Performing expression quantitative trait locus (eQTL) analysis based on the described associations with genes such as BTN3A2, HMGN4, and TRIM38.

Strengths

• Includes a large control cohort of over 530,000 individuals.
• Analyzes a substantial number of cases: 12,660 for RA and 2,446 for r-axSpA.
• Provides functional characterization data, including cytokine levels and eQTL analyses with specific p-values (e.g., p = 0.00030 for CCL25).
• Results are derived from a meta-analysis of three distinct European populations (UKBB, FinnGen, REPAIR).

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Data may reflect geographic bias inherent to the three European source cohorts.

Provenance

Source

Meta-analysis of UKBB, FinnGen, and REPAIR cohorts.

Collection Method

Genome-wide association study (GWAS) meta-analysis and functional characterization.

Freshness

Last updated 2026-04-23 05:28:24; freshness should be verified.

Geography

European populations.