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Meta-Analysis
. 2025 Aug 23;16(1):7890.
doi: 10.1038/s41467-025-62456-9.

Large-scale GWAS of strabismus identifies risk loci and provides support for a link with maternal smoking

Collaborators, Affiliations
Meta-Analysis

Large-scale GWAS of strabismus identifies risk loci and provides support for a link with maternal smoking

Weixiong He et al. Nat Commun. .

Abstract

Strabismus is a common pediatric eye misalignment and has complex genetic and environmental causes. Previous genome-wide association studies (GWAS) encountered difficulties in identifying strabismus risk variants due to heterogeneity and small samples. We performed large meta-analyses of 11 European-ancestry GWAS (7 sources), analysing broad strabismus (20,464 cases, 954,921 controls) and subtypes (esotropia/exotropia). We discovered 4 loci (e.g., NPLOC4-TSPAN10-PDE6G-FAAP100, COL6A1) for strabismus and 5 additional loci (e.g., CHRNA4, MAD1L1) for strabismus subtypes and we successfully replicated the previously reported strabismus variant near NPLOC4-TSPAN10-PDE6G-FAAP100. Using mendelian randomisation, we found genetic evidence supporting maternal smoking as a causal risk factor for strabismus in offspring.

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Conflict of interest statement

Competing interests: The authors declare no competing interests.

Figures

Fig. 1
Fig. 1. Manhattan plots and QQ-plots of three strabismus phenotypes.
The red line in Manhattan plots represents the genome-wide significant threshold (P = 5 × 10−8), the green line represents the suggestive significance threshold (P = 1 × 10−5). The red line in QQ-plots represents the expected distribution of the p values, and blue/yellow/green trend represents the observed distribution. Shades represent the 95% confidence interval of the expected distribution.
Fig. 2
Fig. 2. Locus zoom plots for strabismus, esotropia and exotropia significant loci.
Genome build for chromosome position is Homo sapiens (human) genome assembly GRCh37 (hg19) and LD (r2) is calculated from 1000 Genome European population. The blue line represents the recombination rate (cMMb). The most significant SNPs are indicated by the purple dots. The x-axis shows genes located in the genomic regions (1MB) and y-axis indicates the significance of SNP associations (−log10(P)).
Fig. 3
Fig. 3. Venn diagram of seven GWAS-significant loci.
The GWAS summary statistics of the three strabismus phenotypes shared a subset of associated loci. Genes in the blue/red/green circle represent the genetic loci associated with strabismus/esotropia/exotropia. Genetic loci in bold represent the loci also associated with myopia or refractive errors.
Fig. 4
Fig. 4. Comparison of epidemiology and MR-based estimates of the relationship between birth weight and strabismus subtypes.
We compared odds ratios (ORs) change from our Mendelian randomisation (MR) analysis of birth weight on esotropia (a) and exotropia (b) with observational results published by Torp-Pedersen et al. The x-axis contains different groups based on per 500 g birth weight increase. The birth weight changes were labelled as 3000–3499 g, 3500–3999 g and 4000–4499 g in the original paper, we re-labelled them to ‘500 g increase from 2500 g’, ‘500 g increase from 3000 g’ and ‘500 g increase from 3500 g’ and present the ORs change per 500 g increase on birth weight (green points in a, yellow points in b). Error bars are the 95% confidence interval of ORs change. The red point represents the MR OR per 500 g increase in birth weight, and the red error bars represent the 95% confidence interval of MR OR.

References

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