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Mendelian Randomisation Analysis of Causal Association Between Lifestyle, Health Factors, and Keratoconus

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Date 2024 Mar 27
PMID 38534495
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Abstract

Keratoconus (KC), a leading cause of vision impairment, has an unclear aetiology. This study used Mendelian randomization (MR) to explore the causal links between various factors (smoking, asthma, Down syndrome, inflammatory bowel disease, atopic dermatitis, and serum 25-hydroxyvitamin D levels) and KC. A two-sample MR design, grounded in genome-wide association study (GWAS) summary statistics, was adopted using data from FinnGen, UK Biobank, and other GWAS-related articles. The inverse-variance weighted (IVW) method was employed, complemented by the Wald ratio method for factors with only one single-nucleotide polymorphism (SNP). Sensitivity and stability were assessed through Cochrane's Q test, the MR-Egger intercept test, MR-PRESSO outlier test, and the leave-one-out analysis. The IVW results for the ORA (Ocular Response Analyzer) biomechanical parameters indicated significant associations between tobacco smoking (CH: < 0.001; CRF: = 0.009) and inflammatory bowel disease (CH: = 0.032; CRF: = 0.001) and corneal biomechanics. The Wald ratio method showed tobacco smoking was associated with a lower risk of KC ( = 0.024). Conversely, asthma ( = 0.009), atopic dermatitis ( = 0.012), inflammatory bowel disease ( = 0.017), and serum 25-hydroxyvitamin D levels ( = 0.039) were associated with a higher risk of KC by IVW, and the same applied to Down syndrome ( = 0.004) using the Wald ratio. These results underscore the role of corneal biomechanics as potential mediators in KC risk, warranting further investigation using Corvis ST and Brillouin microscopy. The findings emphasise the importance of timely screening for specific populations in KC prevention and management.

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References
1.
Mazzotta C, Ferrise M, Gabriele G, Gennaro P, Meduri A . Chemically-Boosted Corneal Cross-Linking for the Treatment of Keratoconus through a Riboflavin 0.25% Optimized Solution with High Superoxide Anion Release. J Clin Med. 2021; 10(6). PMC: 8004796. DOI: 10.3390/jcm10061324. View

2.
Revez J, Lin T, Qiao Z, Xue A, Holtz Y, Zhu Z . Genome-wide association study identifies 143 loci associated with 25 hydroxyvitamin D concentration. Nat Commun. 2020; 11(1):1647. PMC: 7118120. DOI: 10.1038/s41467-020-15421-7. View

3.
Godefrooij D, de Wit G, Uiterwaal C, Imhof S, Wisse R . Age-specific Incidence and Prevalence of Keratoconus: A Nationwide Registration Study. Am J Ophthalmol. 2017; 175:169-172. DOI: 10.1016/j.ajo.2016.12.015. View

4.
Lema I, Duran J . Inflammatory molecules in the tears of patients with keratoconus. Ophthalmology. 2005; 112(4):654-9. DOI: 10.1016/j.ophtha.2004.11.050. View

5.
Verbanck M, Chen C, Neale B, Do R . Detection of widespread horizontal pleiotropy in causal relationships inferred from Mendelian randomization between complex traits and diseases. Nat Genet. 2018; 50(5):693-698. PMC: 6083837. DOI: 10.1038/s41588-018-0099-7. View