Metabolomic profiles, polygenic risk scores and risk of rheumatoid arthritis: a population-based cohort study in the UK Biobank
Main finding · Incident RA by MRSResult — go to the resultHazard ratio 3.52 95% CI 2.80–4.43Authors' conclusion
Our findings suggested the metabolic profiles comprising multiple metabolic biomarkers contribute to capturing an elevated risk of RA, and the integration of genome-wide PRSs further improved risk stratification.
Study context
- Population
- UK Biobank participants with 143 NMR-based plasma metabolic biomarkers measured620 incident RA cases
- Participants
- 93,800 participants
- Exposure
- Top decile vs below median of metabolic risk score (MRS); joint genetic risk and MRS strata
- Outcome
- Incident RA
Methodological detailspopulation-based, Cox regression, genetic correlation and Mendelian randomisation analyses
- Population-based
- Cox regression
- Genetic correlation and Mendelian randomisation analyses
Main finding
Incident RA by MRS · median follow-up 8.2 years
Hazard ratio
3.52
95% CI 2.80–4.43
Top decile of MRSvs Below median of MRS
HR 3.52 (95% CI 2.80–4.43)
As reported in the abstract
Observational data: associations, not effects.
Further findings
| Outcome | HR (95% CI) | |
|---|---|---|
| Incident RA by joint genetic risk and MRS strataHigh genetic risk and unfavourable MRSvs Low genetic risk and favourable MRS | 6.10 (4.06–9.14) | |
| 0.10.31310Hazard ratio (log scale) |
Incident RA by joint genetic risk and MRS strata
- Significant gradient associations between MRS and RA risk across genetic risk strata
Original publication
Metabolomic profiles, polygenic risk scores and risk of rheumatoid arthritis: a population-based cohort study in the UK Biobank. RMD Open. Published 30 November 2023. doi:10.
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