Multivariate linear regression analysis of factors significantly correlated to GA growth.

<p>^a P value of linear regression model vs. null model</p><p>^b combined effect sizes were estimated from random effects model (meta-analysis).</p><p>Multivariate linear regression analysis of factors significantly correlated to GA growth.</p

GA lesion growth rates for each individual in the combined study.

<p>The measured area of GA was square-root transformed. From the transformed area the growth rate was calculated per year in [mm/year]. Growth rates from each individual were then obtained by calculating the mean of all growth rates of the individual. If both eyes were affected, the mean of both eyes were calculated resulting in a single growth variable per individual. These individual growth rates were further transformed by the natural logarithm (ln) and were stratified either by (A) the genotype at ARMS2_rs10490924 or (B) the genotype at C3_rs2230199 or (C) the presence or absence of bilateral GA.</p

Forestplot representations of univariate linear regression models.

<p>Univariate linear regression models were fitted for variables ARMS2_rs10490924, C3_rs2230199 and bilateral GA for each study separately. Slope and standard errors obtained from the models of each study were combined by performing a meta-analysis assuming a random effects model. The combined estimates for slope and 95% confidence intervals (CI) were computed from the random effects model. In all analyses, no evidence was found for heterogeneity (P_{heterogeneity} > 0.05).</p

Summary characteristics of participating study populations.

<p>FAF = fundus autofluorescence.</p><p>Summary characteristics of participating study populations.</p