Multiomics Identifies Potential Biomarkers in Ankylosing Spondylitis Bone Formation.

ABSTRACT: Objective: Ankylosing spondylitis (AS) is a long-term inflammatory condition characterized by intricate pathogenesis and significant genetic predisposition. Current treatment methods cannot completely halt the progression of the disease. The purpose of this research is to discover possible therapeutic targets for AS by integrating Mendelian Randomization (MR), transcriptomics analysis, and machine learning, providing new options for the clinical treatment of AS. Methods: In this study, we initially pinpointed differentially expressed genes (DEGs) linked to AS from the GEO database and acquired cis-eQTL data for these genes from the eQTLGen Consortium. Using MR and summary data-based Mendelian randomization (SMR) analyses, we screened for DEGs with causal relationships to AS.

SUBMITTER: Yang L 

PROVIDER: S-EPMC12356670 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature