Multi-ancestral GWAS identifies 152 RA loci with improved polygenic risk scores for AFR and AMR populations.

This cohort study analyzed data from the Million Veteran Program (MVP), which includes European, East Asian, African American (AFR), and Admixed American (AMR) populations. The research employed multi-ancestral GWAS with multimodal automated phenotyping to investigate rheumatoid arthritis, comparing findings against previous RA cohorts.

The primary outcome was the identification of RA loci and their functional interpretation. The study identified 152 autosomal genome-wide significant loci, of which 31 were novel. Secondary outcomes included fine-mapping resolution and polygenic risk score predictive ability.

Results indicated better predictive ability for polygenic risk scores, especially for AFR and AMR populations. No safety data, adverse events, or tolerability were reported. Follow-up duration was not reported.

Limitations include the observational nature of the cohort study design and the lack of reported sample size. The study does not provide evidence for clinical intervention efficacy. Practice relevance regarding treatment decisions remains undefined based on these genetic associations.