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Updated: Nov 20, 2025

An Adoptive Transfer Model of Rheumatoid Arthritis in Mice
Published on: June 6, 2025
Transcriptome-wide association study identifies susceptibility genes for rheumatoid arthritis
Cuiyan Wu1, Sijian Tan2, Li Liu2
1School of Public Health, Xi'an Jiaotong University Health Science Center; Key Laboratory of Trace Elements and Endemic Diseases, National Health Commission of the People's Republic of China, No.76, Yan Ta West Road, Xi'an, 710061, People's Republic of China. wucuiyan@xjtu.edu.cn.
This study integrated genome-wide association study (GWAS) and gene expression data to identify rheumatoid arthritis (RA)-associated genes. Researchers found multiple candidate genes and pathways, offering new insights into the genetic mechanisms of RA.
Area of Science:
- Genetics
- Immunology
- Molecular Biology
Background:
- Rheumatoid arthritis (RA) is a complex autoimmune disease with a significant genetic component.
- Identifying susceptibility genes and pathways is crucial for understanding RA pathogenesis.
Purpose of the Study:
- To identify novel RA-associated susceptibility genes and biological pathways.
- To integrate genome-wide association study (GWAS) and gene expression data for a comprehensive analysis.
Main Methods:
- A transcriptome-wide association study (TWAS) was performed using FUSION software across four cell/tissue types (EBV-transformed lymphocytes, transformed fibroblasts, peripheral blood, whole blood).
- GWAS summary data from a large cohort (5539 RA patients, 20,169 controls) was utilized.
- TWAS-identified genes were validated using mRNA expression profiles and subjected to functional exploration.
Main Results:
- The TWAS identified 692 genes associated with RA (PTWAS < 0.05).
- Four genes (CRIPAK, MUT, FOXRED1, EBPL) showed consistent expression across all four tested tissues/cells.
- Eighteen genes, including ATIC and RUNX3 (downregulated) and TLR5 (upregulated), were validated through integrative analysis.
- Functionally, identified genes were involved in endoplasmic reticulum organization, cytokine regulation, TNF signaling, immune response, and autophagy.
Conclusions:
- Multiple candidate genes and pathways linked to RA pathogenesis were identified.
- The findings provide novel insights into the genetic underpinnings of rheumatoid arthritis.
- This integrated approach highlights the utility of combining GWAS and gene expression data for genetic discovery.
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