Skip to main content

Main menu

  • Home
  • Articles
    • Current Issue
    • Next in The JI
    • Archive
    • Brief Reviews
    • Pillars of Immunology
    • Translating Immunology
    • Most Read
    • Top Downloads
    • Annual Meeting Abstracts
  • COVID-19/SARS/MERS Articles
  • Info
    • About the Journal
    • For Authors
    • Journal Policies
    • Influence Statement
    • For Advertisers
  • Editors
  • Submit
    • Submit a Manuscript
    • Instructions for Authors
    • Journal Policies
  • Subscribe
    • Journal Subscriptions
    • Email Alerts
    • RSS Feeds
    • ImmunoCasts
  • More
    • Most Read
    • Most Cited
    • ImmunoCasts
    • AAI Disclaimer
    • Feedback
    • Help
    • Accessibility Statement
  • Other Publications
    • American Association of Immunologists
    • ImmunoHorizons

User menu

  • Subscribe
  • Log in

Search

  • Advanced search
The Journal of Immunology
  • Other Publications
    • American Association of Immunologists
    • ImmunoHorizons
  • Subscribe
  • Log in
The Journal of Immunology

Advanced Search

  • Home
  • Articles
    • Current Issue
    • Next in The JI
    • Archive
    • Brief Reviews
    • Pillars of Immunology
    • Translating Immunology
    • Most Read
    • Top Downloads
    • Annual Meeting Abstracts
  • COVID-19/SARS/MERS Articles
  • Info
    • About the Journal
    • For Authors
    • Journal Policies
    • Influence Statement
    • For Advertisers
  • Editors
  • Submit
    • Submit a Manuscript
    • Instructions for Authors
    • Journal Policies
  • Subscribe
    • Journal Subscriptions
    • Email Alerts
    • RSS Feeds
    • ImmunoCasts
  • More
    • Most Read
    • Most Cited
    • ImmunoCasts
    • AAI Disclaimer
    • Feedback
    • Help
    • Accessibility Statement
  • Follow The Journal of Immunology on Twitter
  • Follow The Journal of Immunology on RSS

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

Di Liu, Jing Dong, Jie Zhang, Xizhu Xu, Qiuyue Tian, Xiaoni Meng, Lijuan Wu, Deqiang Zheng, Xi Chu, Wei Wang, Qun Meng and Youxin Wang
J Immunol May 11, 2022, ji2100080; DOI: https://doi.org/10.4049/jimmunol.2100080
Di Liu
*Department of Epidemiology and Health Statistics, School of Public Health, Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, China;
†Center for Biomedical Information Technology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong, China;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Jing Dong
‡Health Management Center, Xuanwu Hospital, Capital Medical University, Beijing, China;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Jie Zhang
*Department of Epidemiology and Health Statistics, School of Public Health, Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, China;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Xizhu Xu
§School of Public Health, Shandong First Medical University and Shandong Academy of Medical Sciences, Tai’an, China; and
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Qiuyue Tian
*Department of Epidemiology and Health Statistics, School of Public Health, Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, China;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Xiaoni Meng
*Department of Epidemiology and Health Statistics, School of Public Health, Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, China;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Lijuan Wu
*Department of Epidemiology and Health Statistics, School of Public Health, Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, China;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Deqiang Zheng
*Department of Epidemiology and Health Statistics, School of Public Health, Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, China;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Xi Chu
‡Health Management Center, Xuanwu Hospital, Capital Medical University, Beijing, China;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Wei Wang
*Department of Epidemiology and Health Statistics, School of Public Health, Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, China;
§School of Public Health, Shandong First Medical University and Shandong Academy of Medical Sciences, Tai’an, China; and
¶Centre for Precision Health, ECU Strategic Research Centre, Edith Cowan University, Perth, Western Australia, Australia
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Wei Wang
Qun Meng
*Department of Epidemiology and Health Statistics, School of Public Health, Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, China;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Youxin Wang
*Department of Epidemiology and Health Statistics, School of Public Health, Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, China;
¶Centre for Precision Health, ECU Strategic Research Centre, Edith Cowan University, Perth, Western Australia, Australia
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Youxin Wang
  • Article
  • Figures & Data
  • Info & Metrics
  • PDF
Loading

Key Points

  • We identified potentially causal associations of IgG N-glycans with RA.

  • Our findings shed light on IgG N-glycosylation involvement in RA.

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.

Footnotes

  • This work was supported by National Nature Science Foundation of China Grants 81872682 and 81773527, China-Australian Collaborative Grant NSFC 81561128020-NHMRC APP1112767, and by China Scholarship Council Grant CSC 201908110339.

  • The online version of this article contains supplemental material.

  • Received February 10, 2021.
  • Accepted March 30, 2022.
  • Copyright © 2022 by The American Association of Immunologists, Inc.

Pay Per Article - You may access this article (from the computer you are currently using) for 1 day for US$37.50

Regain Access - You can regain access to a recent Pay per Article purchase if your access period has not yet expired.

Log in using your username and password

Forgot your user name or password?
PreviousNext
Back to top

In this issue

The Journal of Immunology: 208 (11)
The Journal of Immunology
Vol. 208, Issue 11
1 Jun 2022
  • Table of Contents
  • Table of Contents (PDF)
  • About the Cover
  • Back Matter (PDF)
  • Editorial Board (PDF)
  • Front Matter (PDF)
Download PDF
Article Alerts
Sign In to Email Alerts with your Email Address
Email Article

Thank you for your interest in spreading the word about The Journal of Immunology.

NOTE: We only request your email address so that the person you are recommending the page to knows that you wanted them to see it, and that it is not junk mail. We do not capture any email address.

Enter multiple addresses on separate lines or separate them with commas.
Genome-Wide Mapping of Plasma IgG N-Glycan Quantitative Trait Loci Identifies a Potentially Causal Association between IgG N-Glycans and Rheumatoid Arthritis
(Your Name) has forwarded a page to you from The Journal of Immunology
(Your Name) thought you would like to see this page from the The Journal of Immunology web site.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Citation Tools
Genome-Wide Mapping of Plasma IgG N-Glycan Quantitative Trait Loci Identifies a Potentially Causal Association between IgG N-Glycans and Rheumatoid Arthritis
Di Liu, Jing Dong, Jie Zhang, Xizhu Xu, Qiuyue Tian, Xiaoni Meng, Lijuan Wu, Deqiang Zheng, Xi Chu, Wei Wang, Qun Meng, Youxin Wang
The Journal of Immunology May 11, 2022, ji2100080; DOI: 10.4049/jimmunol.2100080

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Share
Genome-Wide Mapping of Plasma IgG N-Glycan Quantitative Trait Loci Identifies a Potentially Causal Association between IgG N-Glycans and Rheumatoid Arthritis
Di Liu, Jing Dong, Jie Zhang, Xizhu Xu, Qiuyue Tian, Xiaoni Meng, Lijuan Wu, Deqiang Zheng, Xi Chu, Wei Wang, Qun Meng, Youxin Wang
The Journal of Immunology May 11, 2022, ji2100080; DOI: 10.4049/jimmunol.2100080
del.icio.us logo Digg logo Reddit logo Twitter logo Facebook logo Google logo Mendeley logo
  • Tweet Widget
  • Facebook Like

Jump to section

  • Article
  • Figures & Data
  • Info & Metrics
  • PDF

Related Articles

Cited By...

More in this TOC Section

  • Somatic Diversification of Rearranged Antibody Gene Segments by Intra- and Interchromosomal Templated Mutagenesis
  • Comparison of Reptilian Genomes Reveals Deletions Associated with the Natural Loss of γδ T Cells in Squamates
Show more IMMUNOGENETICS

Similar Articles

Navigate

  • Home
  • Current Issue
  • Next in The JI
  • Archive
  • Brief Reviews
  • Pillars of Immunology
  • Translating Immunology

For Authors

  • Submit a Manuscript
  • Instructions for Authors
  • About the Journal
  • Journal Policies
  • Editors

General Information

  • Advertisers
  • Subscribers
  • Rights and Permissions
  • Accessibility Statement
  • FAR 889
  • Privacy Policy
  • Disclaimer

Journal Services

  • Email Alerts
  • RSS Feeds
  • ImmunoCasts
  • Twitter

Copyright © 2022 by The American Association of Immunologists, Inc.

Print ISSN 0022-1767        Online ISSN 1550-6606