Table 5_Identification of new overlapping and disease-specific genetic risk factors for rh

12,660 rheumatoid arthritis (RA) and 2,446 radiographic axial spondyloarthritis (r-axSpA) cases, along with over 530,000 shared controls, were analyzed across three European cohorts. This dataset contains results from a meta-analysis identifying 10 independent SNPs associated with both diseases and disease-specific variants, with functional characterization linking them to cytokine and protein levels. The data was authored by Antonio José Cabrera-Serrano and last updated on 2026-04-23.

Use Cases

• Identify shared genetic risk loci for RA and r-axSpA based on the 10 independent SNPs mentioned.
• Investigate disease-specific genetic associations based on variants in BTN2A1, BTN3A2, and H2BC11.
• Perform functional genomic analyses based on the described eQTL and cytokine/protein associations.
• Explore potential therapeutic targets based on the highlighted immunoregulatory mediators like IL10, IL22, and CCL25.

Strengths

• Large sample size with over 530,000 shared controls.
• Analysis spans three distinct European cohorts (UKBB, FinnGen, REPAIR).
• Includes functional characterization data (cytokine levels, eQTL analyses) for identified SNPs.

Limitations

• Dataset is very small (22.1 KB), suggesting it contains summary results rather than raw genetic data.
• 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

Genetic association meta-analysis and functional characterization.

Freshness

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

Geography

European populations.