Abstract
Background
Despite extensive research efforts, understanding the precise causes and molecular underpinnings of age-related macular degeneration (AMD) remains elusive. Exploring different populations becomes crucial to establish conclusive insights into the role of genetic factors in AMD.
Methodology
This study aimed to investigate the association between the well-documented major risk alleles in the HTRA1, ARMS2 and CFH genes with AMD in the Malaysian multi-ethnic population. A total of 205 subjects were enrolled in this study, 103 were diagnosed with AMD while 102 represented the control subjects. Genomic DNA was extracted from peripheral blood mononuclear cells and gene amplification was performed by polymerase chain reaction. Subsequently, genotyping for the HTRA1, ARMS2 and CFH genes was performed using direct DNA sequencing analysis.
Results
Significant associations (p < 0.05) were detected with AMD for both SNP rs11200638: G > A in the promoter of HTRA1 and rs10490924: G > T in ARMS2 but not for variant Y402H in CFH gene (p > 0.05) in our study population. The A allele frequency of rs11200638 in the HTRA1 promoter was 51.9% in cases versus 39.2% in controls (p = 0.010). The frequency of AA genotype was 28.2% for AMD cases, compared to 17.6% in controls (OR 2.58, 95% CI 1.19–5.58; p = 0.043). The frequency of the TT genotype of rs10490924 in ARMS2 was 25.2% in cases versus 8.8% in controls (OR 2.23, 95% CI 0.83–5.99; p = 0.002).
Conclusion
The study reveals an association between specific genetic variants in the HTRA1 and ARMS2 genes and the occurrence of AMD in the Malaysian population. However, contrary to expectations, the study did not identify a substantial correlation between AMD and the Y402H variant of the CFH gene in this specific population.
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Details
1 Universiti Malaya, Department of Ophthalmology, Faculty of Medicine, Kuala Lumpur, Malaysia (GRID:grid.10347.31) (ISNI:0000 0001 2308 5949)
2 Universiti Malaya, Department of Molecular Medicine, Faculty of Medicine, Kuala Lumpur, Malaysia (GRID:grid.10347.31) (ISNI:0000 0001 2308 5949)





