WARE: Wet AMD Risk-Evaluation Tool as a Clinical Decision-Support System Integrating Genetic and Non-Genetic Factors
WARE is a software for calculating the risk of Age-Related Macular Degeneration (AMD), taking into account relevant genetic and environmental factors. It aims to help specialists in reporting risk assessment upon patient evaluation. A pleasant and easy-to-use web page interface guides the user in setting genotypes for selected SNPs and calculates total genetic risk, also showing nice plots about absolute and relative risk with respect to AMD and general population. Subsequently, the user can take into account patient's Familiarity and Smoke, calculating a total risk for both genetic and environmental risk factors.
WARE is an open-source platform-independent browser-based interface for AMD risk assessment in R. The application is based on the Shiny package and can be run locally or on a server. WARE was developed using R and Shiny, see papers section for details and citations. Developed by the Genomic Medicine Laboratory at I.R.C.C.S. Santa Lucia Foundation. You can reach us at a.termine@hsantalucia.it. Please use the issue tracker on GitHub to suggest enhancements or report problems.
- To set the environment for WARE local use, R and RStudio must be installed.
- Download R for your operating system (Windows, Linux or macOS) and install using the default settings.
- Download RStudio Free Desktop version and install using the default settings.
- To use the WARE software, download this repository from here or by clicking the green
Codebutton and selectingDownload ZIP. - Unpack the downloaded ZIP file to your preferred path.
- Open the
dashboard.rfile using RStudio, then click on the greenrun appbutton at the top-right corner of the central panel window, as shown in the image below.
WARE is licensed under the AGPLv3 license. As a summary, the AGPLv3 license requires attribution, including copyright and license information in copies of the software, stating changes if the code is modified, and disclosure of all source code. Details are in the LICENSE file. See our papers section for details and citations.
Fabrizio, C.; Termine, A.; Caputo, V.; Megalizzi, D.; Zampatti, S.; Falsini, B.; Cusumano, A.; Eandi, C.M.; Ricci, F.; Giardina, E.; et al. WARE: Wet AMD Risk-Evaluation Tool as a Clinical Decision-Support System Integrating Genetic and Non-Genetic Factors. J. Pers. Med. 2022, 12, 1034. https://doi.org/10.3390/jpm12071034