A DNA methylation-based algorithm for diagnosing rheumatoid arthritis.

ABSTRACT:

Background

Rheumatoid arthritis (RA), particularly seronegative disease, is difficult to diagnose early, which can delay treatment initiation. This study aims to develop a binary DNA methylation (DNAm)-based algorithm to diagnose RA.

Methods

Three datasets (discovery, training, holdout) were constructed from DNAm profiles from 1366 persons (treatment-naïve RA, other inflammatory/autoimmune diseases, healthy individuals). DNAm features that differentiate RA from other inflammatory/autoimmune diseases and healthy individuals were identified using the discovery set. Our classification algorithm was developed using machine learning techniques in the training set. Its diagnostic performance, with and without serological status, was evaluated in the holdout set containing RA cases

SUBMITTER: Riskedal E 

PROVIDER: S-EPMC12532955 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature