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ORIGINAL RESEARCH article

Front. Med.
Sec. Ophthalmology
Volume 11 - 2024 | doi: 10.3389/fmed.2024.1410607
This article is part of the Research Topic Update on Glaucoma Research: From Basic Science to Clinical Practice View all 11 articles

A study exploring the causal relationship between glaucoma and anxiety disorders

Provisionally accepted
Lin Bin Lin Bin Meng Xu Meng Xu Longlong Chen Longlong Chen Dongkan Li Dongkan Li *
  • Eye Center, Xiamen University, Xiamen, China

The final, formatted version of the article will be published soon.

    Background: Glaucoma, a leading cause of global blindness, is characterized by optic nerve damage and visual field loss. Previous studies have suggested a potential association between glaucoma and anxiety disorders. However, the causal relationship between these two conditions remains unclear. Method: In this study, we conducted a Mendelian randomization analysis to investigate the causal relationship between glaucoma and anxiety disorders. We sourced Genome-Wide Association Study (GWAS) datasets for glaucoma and anxiety with the largest sample sizes from the Integrative Epidemiology Unit OpenGWAS (IEU OpenGWAS) project website. Instrumental variables were selected based on specific criteria, and statistical analyses were performed using the R programming language. Results: After filtering and merging the datasets, a total of 60 Single Nucleotide Polymorphisms (SNPs) were obtained for analysis. Regression models were applied to assess the causal relationship between glaucoma and anxiety disorders. The results from all four methods indicated that glaucoma does not cause anxiety disorders (p>0.05). Conclusion: Through rigorous Mendelian Randomization analysis, our findings indicate that glaucoma is not a causative factor for anxiety, with minimal influence from confounding factors in this study. These findings enhance our understanding of the relationship between glaucoma and anxiety.

    Keywords: Glaucoma, Anxiety Disorders, causal relationship, Mendelian randomization, GWAS datasets

    Received: 01 Apr 2024; Accepted: 29 Jul 2024.

    Copyright: © 2024 Bin, Xu, Chen and Li. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Dongkan Li, Eye Center, Xiamen University, Xiamen, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.