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Published on: July 14, 2016
C3 R102G polymorphism increases risk of age-related macular degeneration
Kylee L Spencer1, Lana M Olson, Brent M Anderson
1Center for Human Genetics Research, Vanderbilt University, Nashville, TN 37232, USA. kylee.spencer@vanderbilt.edu
Insights
Inflammation is implicated in age-related macular degeneration (AMD). Research shows the C3 R102G gene variant, not L314P, is the primary driver of AMD risk, even with strong linkage disequilibrium.
Area of Science:
- Ophthalmology
- Genetics
- Immunology
Background:
- Inflammation is a suspected factor in age-related macular degeneration (AMD) pathogenesis.
- Complement factor H (CFH) and complement factor B (CFB) gene variants link AMD to the alternative complement cascade.
- C3 is a key component of the alternative complement cascade, with two variants (R102G and L314P) previously associated with increased AMD risk.
Purpose of the Study:
- To determine if the C3 gene's association with AMD risk is due to the R102G variant, the L314P variant, or both.
- To clarify the independent contributions of C3 R102G and L314P polymorphisms to AMD pathogenesis.
Main Methods:
- Genotyping of C3 R102G and L314P polymorphisms in 223 families and 701 cases/286 controls.
- Analysis of linkage disequilibrium (LD) between the two C3 variants.
- Conditional analyses to assess the independent effect of each variant on AMD risk.
- Statistical adjustment for age, smoking, and other AMD-associated genetic variants (CFH, LOC387715, CFB).
Main Results:
- Both C3 R102G and L314P variants were significantly associated with AMD in family-based and case-control datasets.
- Strong LD (r(2) = 0.85) was observed between R102G and L314P.
- Conditional analysis revealed R102G remained significantly associated with AMD in L314P risk allele carriers, but L314P did not show an independent effect in R102G carriers.
- The R102G variant independently predicted AMD risk (P = 0.015, OR = 1.55) after adjusting for covariates.
Conclusions:
- The C3 R102G polymorphism, acting alone, provides the strongest model for AMD risk in the studied population.
- While both variants are linked, R102G appears to be the primary genetic driver of AMD risk associated with this C3 locus.
- Understanding the specific role of R102G can inform future AMD research and therapeutic strategies targeting the complement cascade.
Abstract:
Inflammation has long been suspected to play a role in the pathogenesis of age-related macular degeneration (AMD). Association of variants in the complement factor H (CFH) and complement factor B (CFB) genes has targeted the search for additional loci to the alternative complement cascade, of which C3 is a major component. Two non-synonymous coding polymorphisms within C3, R102G and L314P, have previously been strongly associated with increased risk. These variants are in strong linkage disequilibrium (LD), making the contribution of this locus to AMD even more difficult to ascertain. We sought to determine whether the C3 association resulted primarily from only one of these two variants or from a combined effect of both in 223 families and an independent dataset of 701 cases and 286 unrelated controls. The C3 polymorphisms were in strong LD (r(2) = 0.85), and both were associated in the family-based and case-control datasets (R102G genoPDT P = 0.02, case-control genotypic P = 0.004; L314P genoPDT P = 0.001, case-control genotypic P = 0.04). In conditional analyses in the case-control dataset, R102G remained associated with disease in the L314P risk allele carriers (P = 0.01), but there was no effect of L314P in the R102G risk allele carriers (P = 0.2). After adjusting for age, smoking, CFH Y402H, LOC387715 A69S, and CFB R32Q, the effect of R102G remained strong [P = 0.015, odds ratio = 1.55, 95% confidence interval 1.09 to 2.21, adjusted PAR(population attributable risk) = 0.17]. Therefore, while the strong LD between R102G and L314P makes it difficult to disentangle their individual effects on disease risk, the R102G polymorphism acting alone provides the best model for disease in our data.
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