Journal Article

C3 R102G polymorphism increases risk of age-related macular degeneration

Kylee L. Spencer, Lana M. Olson, Brent M. Anderson, Nathalie Schnetz-Boutaud, William K. Scott, Paul Gallins, Anita Agarwal, Eric A. Postel, Margaret A. Pericak-Vance and Jonathan L. Haines

in Human Molecular Genetics

Volume 17, issue 12, pages 1821-1824
Published in print June 2008 | ISSN: 0964-6906
Published online March 2008 | e-ISSN: 1460-2083 | DOI: http://dx.doi.org/10.1093/hmg/ddn075
C3 R102G polymorphism increases risk of age-related macular degeneration

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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 (r2 = 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.

Journal Article.  2318 words. 

Subjects: Genetics and Genomics

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