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. 2024 Aug 1;65(10):13.
doi: 10.1167/iovs.65.10.13.

Identification of Potential Drug Targets for Myopia Through Mendelian Randomization

Affiliations

Identification of Potential Drug Targets for Myopia Through Mendelian Randomization

Yimin Qin et al. Invest Ophthalmol Vis Sci. .

Abstract

Purpose: The purpose of this study was to identify potential drug targets for myopia and explore underlying mechanisms.

Methods: Mendelian randomization (MR) was implemented to assess the effect of 2684 pharmacologically targetable genes in the blood and retina on the risk of myopia from a genomewide association study (GWAS) for age-at-onset of spectacle wearing-inferred mean spherical equivalent (MSE; discovery cohort, N = 287,448, European), which was further validated in a GWAS for autorefraction-measured MSE (replication cohort, N = 95,619, European). The reliability of the identified significant potential targets was strengthened by colocalization analysis. Additionally, enrichment analysis, protein-protein interaction network, and molecular docking were performed to explore the functional roles and the druggability of these targets.

Results: This systematic drug target identification has unveiled 6 putative genetically causal targets for myopia-CD34, CD55, Wnt3, LCAT, BTN3A1, and TSSK6-each backed by colocalization evidence in adult blood eQTL datasets. Functional analysis found that dopaminergic neuron differentiation, cell adhesion, Wnt signaling pathway, and plasma lipoprotein-associated pathways may be involved in myopia pathogenesis. Finally, drug prediction and molecular docking corroborated the pharmacological value of these targets with LCAT demonstrating the strongest binding affinity.

Conclusions: Our study not only opens new avenues for the development of therapeutic interventions for myopia but may also help to understand the underlying mechanisms of myopia.

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Conflict of interest statement

Disclosure: Y. Qin, None; C. Lei, None; T. Lin, None; X. Han, None; D. Wang, None

Figures

Figure 1.
Figure 1.
Study design overview.
Figure 2.
Figure 2.
Manhattan plot in the discovery cohort (AOSW-inferred MSE). Names of significant genes were labeled. The blue and red lines signify the nominal P value threshold of 5.00E-02 and the Bonferroni-corrected significance threshold of 2.05E-5 in the blood and 2.00E-03 in the retina for statistical significance, respectively. AOSW, age-at-onset of spectacle wearing; MSE, mean spherical equivalent; eGenes, eQTL target genes.
Figure 3.
Figure 3.
Forest plot displaying MR results of the 14 successfully replicated genes in the blood in the discovery and replication phase. The x-axis is the beta value which represents the risk of MSE as per SD increase in gene levels. A beta greater than 0 indicates that the upregulation of a specific gene is associated with less myopic MSE. Error bars represent 95% confidence intervals. MR, Mendelian randomization; MSE, mean spherical equivalent.
Figure 4.
Figure 4.
Forest plot displaying MR results of the 4 successfully replicated genes in the retina in the discovery and replication phase. The x-axis is the beta value which represents the risk of MSE as per SD increase in gene levels. A beta greater than 0 indicates that the upregulation of a specific gene is associated with less myopic MSE. Error bars represent 95% confidence intervals. MR, Mendelian randomization; MSE, mean spherical equivalent.
Figure 5.
Figure 5.
PPI network constructed by GeneMANIA. The circles are chromatically denoted to signify the functional pathways implicated by the respective genes. PPI, protein-protein interaction.
Figure 6.
Figure 6.
Molecular docking. (A) LCAT docking with testosterone. (B) LCAT docking with prednisolone. (C) CD55 docking with Chembl35482. (D) CD34 docking with prednisolone.

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