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Bidirectional Causality Between Immunoglobulin G N-Glycosylation and Metabolic Traits: A Mendelian Randomization Study

Authors :
Xiaoni Meng
Weijie Cao
Di Liu
Isinta Maranga Elijah
Weijia Xing
Haifeng Hou
Xizhu Xu
Manshu Song
Youxin Wang
Source :
Engineering, Vol 26, Iss , Pp 74-88 (2023)
Publication Year :
2023
Publisher :
Elsevier, 2023.

Abstract

Although the association between immunoglobulin G (IgG) N-glycosylation and metabolic traits has been previously identified, the causal association between them remains unclear. In this work, we used Mendelian randomization (MR) analysis to integrate genome-wide association studies (GWASs) and quantitative trait loci (QTLs) data in order to investigate the bidirectional causal association of IgG N-glycosylation with metabolic traits. In the forward MR analysis, 59 (including nine putatively causal glycan peaks (GPs) for body mass index (BMI) (GP1, GP6, etc.) and seven for fasting plasma glucose (FPG) (GP1, GP5, etc.)) and 15 (including five putatively causal GPs for BMI (GP2, GP11, etc.) and four for FPG (GP1, GP10, etc.)) genetically determined IgG N-glycans were identified as being associated with metabolic traits in one- and two-sample MR studies, respectively, by integrating IgG N-glycan-QTL variants with GWAS results for metabolic traits (all P

Details

Language :
English
ISSN :
20958099
Volume :
26
Issue :
74-88
Database :
Directory of Open Access Journals
Journal :
Engineering
Publication Type :
Academic Journal
Accession number :
edsdoj.5c060c61393049dfaf3be01deaa7b476
Document Type :
article
Full Text :
https://doi.org/10.1016/j.eng.2022.11.004