Multi-modal integration of protein interactomes with genomic and molecular data discovers distinct RA endotypes.

ABSTRACT:

Background

Rheumatoid arthritis (RA) is a complex autoimmune disease characterized by clinical and molecular heterogeneity, notably in the presence of anti-cyclic citrullinated peptide antibodies (CCP). CCP positivity in RA patients is associated with more severe disease progression and distinct responses to treatment compared to CCP- patients. Although previous studies have investigated cellular and molecular differences between these RA subtypes, there has been limited exploration of their genetic differences at a systems scale, taking into account underlying molecular networks.

Methods

Here, we use a novel multi-scale framework that couples a network-based genome-wide association study (GWAS) to functional genomic data to uncover network modules distinguishing CCP+ and CC

SUBMITTER: Rahimikollu J 

PROVIDER: S-EPMC12340870 | biostudies-literature | 2025 Aug

REPOSITORIES: biostudies-literature