| Autor: |
Carlo Fabrizio, Andrea Termine, Valerio Caputo, Domenica Megalizzi, Stefania Zampatti, Benedetto Falsini, Andrea Cusumano, Chiara Maria Eandi, Federico Ricci, Emiliano Giardina, Claudia Strafella, Raffaella Cascella |
| Rok vydání: |
2022 |
| Předmět: |
|
| Zdroj: |
Journal of Personalized Medicine. 12:1034 |
| ISSN: |
2075-4426 |
| DOI: |
10.3390/jpm12071034 |
| Popis: |
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. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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