Genetically supported causal genes for rheumatoid arthritis: Mendelian randomization and co-localization analyses

被引:0
作者
Niu, Yuanyuan [1 ]
Su, Fan [2 ]
Chen, Simin [3 ]
Wang, Jingnan [3 ]
Zhang, Shuoyang [3 ]
Li, Ruiru [3 ]
Kuang, Yu [3 ]
Liang, Liuqin [3 ]
Xiao, Youjun [3 ]
Xu, Hanshi [3 ]
机构
[1] Sun Yat Sen Univ, Affiliated Hosp 1, Dept Gen Practice, Guangzhou, Guangdong, Peoples R China
[2] Sun Yat Sen Univ, Affiliated Hosp 1, Dept Geriatr, Guangzhou, Guangdong, Peoples R China
[3] Sun Yat Sen Univ, Affiliated Hosp 1, Dept Rheumatol & Immunol, Guangzhou 510080, Guangdong, Peoples R China
来源
RHEUMATOLOGY & AUTOIMMUNITY | 2024年
基金
中国国家自然科学基金;
关键词
causal genes; expression quantitative trait loci; inflammation; Mendelian randomization; rheumatoid arthritis; CELL DISTRIBUTION WIDTH; SHARED EPITOPE; PTPN22; ASSOCIATION; NRF2; SUSCEPTIBILITY; POLYMORPHISM; DISEASES; CLASSIFICATION; AUTOIMMUNITY;
D O I
10.1002/rai2.12145
中图分类号
R392 [医学免疫学]; Q939.91 [免疫学];
学科分类号
100102 ;
摘要
Background: Rheumatoid arthritis (RA) is a globally prevalent condition that has a significant impact on morbidity and mortality rates. As a result, there is growing interest in understanding its pathogenetic mechanisms, particularly genetic susceptibility. To explore the potential genes that may cause RA, we conducted a comprehensive Mendelian randomization analysis and co-localization based on data from large sample size genome-wide association studies. Methods: We used two transcriptome datasets to identify expression quantitative trait loci as the exposure and employed genome-wide association studies data from the FinnGen study as the outcome. We then performed co-localization analysis to confirm that the expression quantitative trait loci and RA share causal genetic variants. Furthermore, we implemented a phenome-wide scan to identify other clinical phenotypes associated with significant causal genes. Results: At a Bonferroni significance level of p < 2.70 x 10(-6), the Mendelian randomization analysis revealed that 20 genes increased the risk of RA, while 16 genes showed a marginally protective effect. Co-localization analyses indicated that AP4B1, GGA2, KEAP1, PTPN22, REG4, and TRAV38-2DV8 were associated with the risk of RA. The phenome-wide scan demonstrated shared genetic determinants between RA and other immune-mediated disorders, including autoimmune thyroid disease, diabetes mellitus, cardiovascular disorders, inflammatory bowel disease, and malignant tumors. Conclusions: Our study identified six risk genes (AP4B1, GGA2, KEAP1, PTPN22, REG4, and TRAV38-2DV8) that may have a causal role in RA. These findings provide novel therapeutic targets for the treatment of RA. Further exploration is required to elucidate the underlying biological mechanisms.
引用
收藏
页码:242 / 253
页数:13
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