Clinical validation of a genetic model to estimate the risk of developing choroidal neovascular age-related macular degeneration.

ABSTRACT: Predictive tests for estimating the risk of developing late-stage neovascular age-related macular degeneration (AMD) are subject to unique challenges. AMD prevalence increases with age, clinical phenotypes are heterogeneous and control collections are prone to high false-negative rates, as many control subjects are likely to develop disease with advancing age. Risk prediction tests have been presented previously, using up to ten genetic markers and a range of self-reported non-genetic variables such as body mass index (BMI) and smoking history. In order to maximise the accuracy of prediction for mainstream genetic testing, we sought to derive a test comparable in performance to earlier testing models but based purely on genetic markers, which are static through life and not subject to misr

SUBMITTER: Hageman GS 

PROVIDER: S-EPMC3525964 | biostudies-literature | 2011 Jul

REPOSITORIES: biostudies-literature