Abstract
Background: Evidence suggests that immunoglobulin G (IgG) N-glycosylation is associated with ischemic stroke (IS). However, the causality of IgG N-glycosylation for IS remains unknown. Methods: Two-sample Mendelian randomization (MR) analyses were performed to investigate the potential causal effects of genetically determined IgG N-glycans on IS using publicly available summarized genetic data from East Asian and European populations. Genetic instruments were used as proxies for IgG N-glycan traits. IgG N-glycans were analysed using ultra-performance liquid chromatography. Four complementary MR methods were performed, including the inverse variance weighted method (IVW), MR‒Egger, weighted median and penalized weighted median. Furthermore, to further test the robustness of the results, MR based on Bayesian model averaging (MR-BMA) was then applied to select and prioritize IgG N-glycan traits as risk factors for IS. Results: After correcting for multiple testing, in two-sample MR analyses, genetically predicted IgG N-glycans were unrelated to IS in both East Asian and European populations, and the results remained consistent and robust in the sensitivity analysis. Moreover, MR-BMA also showed consistent results in both East Asian and European populations. Conclusions: Contrary to observational studies, the study did not provide enough genetic evidence to support the causal associations of genetically predicted IgG N-glycan traits and IS, suggesting that N-glycosylation of IgG might not directly involve in the pathogenesis of IS.
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Data Availability
The data underlying this article will be shared upon reasonable request to the corresponding author. The summary association statistics of IS in East Asian can be found here: http://jenger.riken.jp/en/result/. The summary association statistics of IS in European are available at https://www.megastroke.org/mr.html.
Abbreviations
- IgG:
-
immunoglobulin G
- IS:
-
ischemic stroke
- GP:
-
glycan peak
- MR:
-
Mendelian randomization
- MR-BMA:
-
MR based on Bayesian model averaging
- MVMR:
-
Multivariable MR
- UPLC:
-
Ultra-Performance Liquid Chromatography
- IVs:
-
instrumental variables
- IgG N-glycosylation-QTLs:
-
IgG N-glycan quantitative trait loci
- GWAS:
-
genome-wide association study
- SNP:
-
single-nucleotide polymorphism
- MAF:
-
minor allele frequency
- IVW:
-
inverse variance weighting
- WM:
-
weighted median
- PWM:
-
penalized weighted median
- OR:
-
odds ratio
- CI:
-
confidence interval
- PP:
-
posterior probability
- MIP:
-
marginal inclusion probability
- MACE:
-
model-averaged causal effect
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Acknowledgements
We thank all the research participants, and data on IS-associated single nucleotide polymorphisms were accessed through BioBank Japan. Data on IS have been contributed by MEGASTROKE investigators. The MEGASTROKE project received funding from sources specified at http://www.megastroke.org/acknowledgments.html. Data on IgG N-glycosylation-associated single nucleotide polymorphisms have been derived from published articles [29].
Funding
The study was supported by grants from the National Natural Science Foundation of China (81673247 and 81872682). The funders of the study had no role in the study design, data collection, data analysis, data interpretation or writing of the report.
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Youxin Wang, Wei Wang and Weijia Xing conceptualized the study. Biyan Wang, Lei Gao, Jie Zhang, Xiaoni Meng and Xizhu Xu conducted the IgG N-glycome analysis, analysed the data and drafted the manuscript. Biyan Wang and Haifeng Hou recruited the participants and collected the demographic and clinical information. Youxin Wang, Weijia Xing, Biyan Wang and Lei Gao critically revised the manuscript. All authors reviewed the manuscript.
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Wang, B., Gao, L., Zhang, J. et al. Unravelling the genetic causality of immunoglobulin G N-glycans in ischemic stroke. Glycoconj J 40, 413–420 (2023). https://doi.org/10.1007/s10719-023-10127-6
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DOI: https://doi.org/10.1007/s10719-023-10127-6