Journal
JOURNAL OF PERSONALIZED MEDICINE
Volume 12, Issue 7, Pages -Publisher
MDPI
DOI: 10.3390/jpm12071034
Keywords
AMD; aging; tool; risk evaluation; genetic and non-genetic factors; personalized approach
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In this article, an open-source computational tool named WARE is introduced for assessing the individual risk profile of wet AMD. The tool utilizes genetic and non-genetic factors to evaluate the risk and provides a user-friendly interface for clinicians to report risk assessment results. It can be used to compute disease risk adjusted to different populations and to promote preventive actions and personalized medicine.
Given the multifactorial features characterizing age-related macular degeneration (AMD), the availability of a tool able to provide the individual risk profile is extremely helpful for personalizing the follow-up and treatment protocols of patients. To this purpose, we developed an open-source computational tool named WARE (Wet AMD Risk Evaluation), able to assess the individual risk profile for wet AMD based on genetic and non-genetic factors. In particular, the tool uses genetic risk measures normalized for their relative frequencies in the general population and disease prevalence. WARE is characterized by a user-friendly web page interface that is intended to assist clinicians in reporting risk assessment upon patient evaluation. When using the tool, plots of population risk distribution highlight a low-risk zone and a high-risk zone into which subjects can fall depending on their risk-assessment result. WARE represents a reliable population-specific computational system for wet AMD risk evaluation that can be exploited to promote preventive actions and personalized medicine approach for affected patients or at-risk individuals. This tool can be suitable to compute the disease risk adjusted to different populations considering their specific genetic factors and related frequencies, non-genetic factors, and the disease prevalence.
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