Pharmacogenomics at the center of precision medicine: challenges and perspective in an era of Big Data

Author:

Primorac Dragan12345,Bach-Rojecky Lidija6ORCID,Vađunec Dalia6,Juginović Alen2,Žunić Katarina7,Matišić Vid8,Skelin Andrea19,Arsov Borna8,Boban Luka8,Erceg Damir1101112,Ivkošić Ivana Erceg111,Molnar Vilim8,Ćatić Jasmina1513,Mikula Ivan114,Boban Ljubica15,Primorac Lara16,Esquivel Bernard17,Donaldson Morgan17

Affiliation:

1. St Catherine Specialty Hospital, 10000 Zagreb & 49210 Zabok, Croatia

2. University of Split School of Medicine, 21 000 Split, Croatia

3. Eberly College of Science, 517 Thomas St, State College, Penn State University, PA 16803, USA

4. The Henry C Lee College of Criminal Justice & Forensic Sciences, University of New Haven, West Haven, CT 06516, USA

5. University of Osijek School of Medicine, 31000 Osijek, Croatia

6. University of Zagreb Faculty of Pharmacy & Biochemistry, 10000 Zagreb, Croatia

7. PLIVA Hrvatska, 10000 Zagreb, Croatia

8. University of Zagreb School of Medicine, 10000 Zagreb, Croatia

9. Genos Glycoscience Research Laboratory, 10000 Zagreb, Croatia

10. Srebrnjak Children’s Hospital, 10000 Zagreb, Croatia

11. University of Osijek Faculty of Dental Medicine & Health, 31000 Osijek, Croatia

12. Croatian Catholic University, 10000 Zagreb, Croatia

13. Clinical Hospital Dubrava, Department of Cardiology, 10000 Zagreb, Croatia

14. University North, Nursing Department, 42000 Varaždin, Croatia

15. Children’s Hospital Zagreb, 10000 Zagreb, Croatia

16. Wharton Business School, University of Pennsylvania, Philadelphia, PA 19104, USA

17. OneOme LLC, Minneapolis, MN 55413, USA

Abstract

Pharmacogenomics (PGx) is one of the core elements of personalized medicine. PGx information reduces the likelihood of adverse drug reactions and optimizes therapeutic efficacy. St Catherine Specialty Hospital in Zagreb/Zabok, Croatia has implemented a personalized patient approach using the RightMed® Comprehensive PGx panel of 25 pharmacogenes plus Facor V Leiden, Factor II and MTHFR genes, which is interpreted by a special counseling team to offer the best quality of care. With the advent of significant technological advances comes another challenge: how can we harness the data to inform clinically actionable measures and how can we use it to develop better predictive risk models? We propose to apply the principles artificial intelligence to develop a medication optimization platform to prevent, manage and treat different diseases.

Publisher

Future Medicine Ltd

Subject

Pharmacology,Genetics,Molecular Medicine

Reference100 articles.

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