| Literature DB >> 35545292 |
Di Liu1,2, Jing Dong3, Jie Zhang1, Xizhu Xu4, Qiuyue Tian1, Xiaoni Meng1, Lijuan Wu1, Deqiang Zheng1, Xi Chu3, Wei Wang1,4,5, Qun Meng1, Youxin Wang6,5.
Abstract
Observational studies highlight associations of IgG N-glycosylation with rheumatoid arthritis (RA); however, the causality between these conditions remains to be determined. Standard and multivariable two-sample Mendelian randomization (MR) analyses integrating a summary genome-wide association study for RA and IgG N-glycan quantitative trait loci (IgG N-glycan-QTL) data were performed to explore the potentially causal associations of IgG N-glycosylation with RA. After correcting for multiple testing (p < 2 × 10-3), the standard MR analysis based on the inverse-variance weighted method showed a significant association of genetically instrumented IgG N-glycan (GP4) with RA (odds ratioGP4 = 0.906, 95% confidence interval = 0.857-0.958, p = 5.246 × 10-4). In addition, we identified seven significant associations of genetically instrumented IgG N-glycans with RA by multivariable MR analysis (p < 2 × 10-3). Results were broadly consistent in sensitivity analyses using MR_Lasso, MR_weighted median, MR_Egger regression, and leave-one-out analysis with different instruments (all p values <0.05). There was limited evidence of pleiotropy bias (all p values > 0.05). In conclusion, our MR analysis incorporating genome-wide association studies and IgG N-glycan-QTL data revealed that IgG N-glycans were potentially causally associated with RA. Our findings shed light on the role of IgG N-glycosylation in the development of RA. Future studies are needed to validate our findings and to explore the underlying physiological mechanisms in the etiology of RA.Entities:
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Year: 2022 PMID: 35545292 DOI: 10.4049/jimmunol.2100080
Source DB: PubMed Journal: J Immunol ISSN: 0022-1767 Impact factor: 5.426