Realities and expectations of pharmacogenomics and personalized medicine: impact of translating genetic knowledge into clinical practice

Author:

Squassina Alessio1,Manchia Mirko12,Manolopoulos Vangelis G3,Artac Mehmet4,Lappa-Manakou Christina5,Karkabouna Sophia5,Mitropoulos Konstantinos5,Zompo Maria Del1,Patrinos George P6

Affiliation:

1. University of Cagliari, Cagliari, Italy

2. Dalhousie University, Halifax, Nova Scotia, Canada

3. Democritus University of Thrace School of Medicine, Alexandroupolis, Greece

4. Selcuk University, Konya, Turkey

5. Erasmus University Medical Center, Rotterdam, The Netherlands

6. University of Patras, Department of Pharmacy, School of Health Sciences, University Campus, Rion, GR-265 04, Patras, Greece.

Abstract

The implementation of genetic data for a better prediction of response to medications and adverse drug reactions is becoming a reality in some clinical fields. However, to be successful, personalized medicine should take advantage of an informational structured framework of genetic, phenotypic and environmental factors in order to provide the healthcare system with useful tools that can optimize the effectiveness of specific treatment. The impact of personalized medicine is potentially enormous, but the results that have so far been gathered are often difficult to translate into clinical practice. In this article we have summarized the most relevant applications of pharmacogenomics on diseases to which they have already been applied and fields in which they are currently emerging. The article provides an overview of the opportunities and shortcomings of the implementation of genetic information into personalized medicine and its full adoption in the clinic. In the second instance, it provides readers from different fields of expertise with an accessible interpretation to the barriers and opportunities in the use/adoption of pharmacogenomic testing between the different clinical areas.

Publisher

Future Medicine Ltd

Subject

Pharmacology,Genetics,Molecular Medicine

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