Genome-Wide Mapping of Plasma IgG N-Glycan Quantitative Trait Loci Identifies a Potentially Causal Association between IgG N-Glycans and Rheumatoid Arthritis

Author:

Liu Di12,Dong Jing3,Zhang Jie1,Xu Xizhu4,Tian Qiuyue1,Meng Xiaoni1,Wu Lijuan1,Zheng Deqiang1,Chu Xi3,Wang Wei145ORCID,Meng Qun1,Wang Youxin15ORCID

Affiliation:

1. *Department of Epidemiology and Health Statistics, School of Public Health, Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, China;

2. †Center for Biomedical Information Technology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong, China;

3. ‡Health Management Center, Xuanwu Hospital, Capital Medical University, Beijing, China;

4. §School of Public Health, Shandong First Medical University and Shandong Academy of Medical Sciences, Tai’an, China; and

5. ¶Centre for Precision Health, ECU Strategic Research Centre, Edith Cowan University, Perth, Western Australia, Australia

Abstract

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.

Funder

National Nature Science Foundation of China

China-Australian Collaborative Grant

China Scholarship Council

Publisher

The American Association of Immunologists

Subject

Immunology,Immunology and Allergy

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