Spondyloarthritis & psoriatic arthritis
Prediction of Psoriatic Arthritis in Patients With Psoriasis Using DNA Methylation Profiles
Authors' conclusion
This study shows that DNA methylation patterns at an early stage of psoriatic disease can distinguish between patients who will develop PsA from those who will not during the same follow-up.
Study context
- Population
- Patients with psoriasis, blood samples before onset of musculoskeletal symptoms
- Comparison
- Psoriasis patients who developed psoriatic arthritis (PsA) vs those who did not
- Outcome
- DNA methylation markers predicting development of PsA in patients with psoriasis
Methodological detailsmatched for age, sex, psoriasis duration and duration of follow-up, genome-wide DNA methylation, support vector machine classification
- Matched for age, sex, psoriasis duration and duration of follow-up
- Genome-wide DNA methylation
- Support vector machine classification
Main finding
As reported in the abstract
Prediction of PsA conversion by methylation-marker classification model
Highly relevant methylation markers identified (FDR-adjusted P < 0.05, minimum methylation change 0.05) across 15 genes and several intergenic regions
36
AUC of classification model distinguishing converters from nonconverters
0.9644
Observational data: associations, not effects.
Original publication
Prediction of Psoriatic Arthritis in Patients With Psoriasis Using DNA Methylation Profiles. Arthritis Rheumatol. Published 10 November 2023. doi:10.
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