Avtor/Urednik | Redenšek, Sara; Dolžan, Vita | |
Naslov | The role of pharmacogenomics in personalization of the Parkinson's disease treatment | |
Tip | članek | |
Leto izdaje | 2020 | |
Obseg | str. str. | |
ISSN | 1462-2416 - Pharmacogenomics | |
Jezik | eng | |
Abstrakt | Parkinson's disease (PD) related phenotypes can vary among patients substantially, including response to dopaminergic treatment in terms of efficacy and occurrence of adverse events. Many pharmacogenetic studies have already been conducted to find genetic markers of response to dopaminergic treatment. Integration of genetic and clinical data has already resulted in construction of clinical pharmacogenetic models for prediction of adverse events. However, the results of pharmacogenetic studies are inconsistent. More comprehensive genome-wide approaches are needed to find genetic biomarkers of PD-related phenotypes to better explain the variability in response to treatment. These genetic markers should be integrated with clinical, environmental, imaging, and other omics data to build clinically useful algorithms for personalization of PD management. | |
Proste vsebinske oznake | clinical algorithms clinical pharmacogenetic predictive models data integration klinični algoritmi klinični farmakogenetski napovedni modeli integracija podatkov |