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Institutional Profile

Pharmacogenomics education and research at the Department of Pharmacy, University of Patras, Greece

    George P Patrinos

    *Author for correspondence:

    E-mail Address: gpatrinos@upatras.gr

    Department of Pharmacy, School of Health Sciences, University of Patras, Patras, Greece

    Department of Pathology, College of Medicine & Health Sciences, United Arab Emirates University, Al-Ain, United Arab Emirates

    Department of Bioinformatics, Faculty of Health Sciences, Erasmus University Medical Center, Rotterdam, The Netherlands

    &
    Theodora Katsila

    Department of Pharmacy, School of Health Sciences, University of Patras, Patras, Greece

    Published Online:https://doi.org/10.2217/pgs-2016-0142

    The Pharmacogenomics and Personalized Medicine group belongs to the Laboratory of Molecular Biology and Immunology, Department of Pharmacy and is active since 2009 mainly in the field of pharmacogenomics and personalized medicine. Herein, we describe the research interests, collaborations and accomplishments of the Pharmacogenomics and Personalized Medicine group together with the teaching activities of the group that greatly enhance the pharmacogenomics knowledge of graduate/postgraduate students and healthcare professionals.

    References

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    • 2 Tafrali C, Paizi A, Borg J, Radmilovic M et al. Genomic variation in the MAP3K5 gene is associated with β-thalassemia disease severity and hydroxyurea treatment efficacy. Pharmacogenomics 14(5), 469–483 (2013).
    • 3 Gravia A, Chondrou V, Sgourou A et al. Individualizing fetal hemoglobin augmenting therapy for β-type hemoglobinopathies patients. Pharmacogenomics 15(10), 1355–1364 (2014).
    • 4 Chalikiopoulou C, Tavianatou AG, Sgourou A et al. Genomic variants in the ASS1 gene, involved in the nitric oxide biosynthesis and signaling pathway, predict hydroxyurea treatment efficacy in compound sickle cell disease/β-thalassemia patients. Pharmacogenomics 17(4), 393–403 (2016).
    • 5 Gravia A, Chondrou V, Kolliopoulou A et al. Correlation of SIN3A genomic variants with β-hemoglobinopathies disease severity and hydroxyurea treatment efficacy. Pharmacogenomics (2016) (In Press).
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    • 7 Zukic B, Radmilovic M, Stojiljkovic M et al. Functional analysis of the role of TPMT gene promoter VNTR polymorphism in TPMT gene transcription. Pharmacogenomics 11(4), 547–557 (2010).
    • 8 Kotur N, Stankovic B, Kassela K et al. Six-mercaptopurine influences TPMT gene transcription in a TPMT gene promoter variable number of tandem repeats-dependent manner. Pharmacogenomics 13(3), 283–295 (2012).
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    • 10 Squassina A, Manchia M, Borg J et al. Evidence for association of an ACCN1 gene variant with response to lithium treatment in Sardinian patients with bipolar disorder. Pharmacogenomics 12(11), 1559–1569 (2011).
    • 11 Mizzi C, Mitropoulou C, Mitropoulos K et al. Personalized pharmacogenomics profiling using whole genome sequencing. Pharmacogenomics 15(9), 1223–1234 (2014).
    • 12 Katsila T, Konstantinou E, Lavda I et al. Pharmacometabolomics-aided pharmacogenomics in autoimmune disease. EBioMedicine 5, 40–45 (2016).
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    • 14 Mizzi C, Dalabira E, Kumuthini J et al. A European spectrum of pharmacogenomic biomarkers: implications for clinical pharmacogenomics. PLoS ONE 11(9), e0162866 (2016).
    • 15 Mette L, Mitropoulos K, Vozikis A, Patrinos GP. Pharmacogenomics and public health: implementing populationalized medicine. Pharmacogenomics 13(7), 803–813 (2012).
    • 16 FINDbase Worldwide database of clinically relevant genomic variation allele frequencies. www.findbase.org.
    • 17 Georgitsi M, Viennas E, Gkantouna V et al. Population-specific documentation of pharmacogenomic markers and their allelic frequencies in FINDbase. Pharmacogenomics 12(1), 49–58 (2011).
    • 18 Papadopoulos P, Viennas E, Gkantouna V et al. Developments in FINDbase worldwide database for clinically relevant genomic variation allele frequencies. Nucleic Acids Res. 42, D1020–D1026 (2014).
    • 19 DruGeVar database. http://drugevar.genomicmedicinealliance.org.
    • 20 Potamias G, Lakiotaki K, Katsila T et al. Deciphering next-generation pharmacogenomics: an information technology perspective. OPEN Biol. 4(7), 140071 (2014).
    • 21 Lakiotaki K, Kartsaki E, Kanterakis A, Katsila T, Patrinos GP, Potamias G. ePGA: a web-based information system for translational pharmacogenomics. PLoS ONE 11(9), e0162801 (2016).
    • 22 US Food and Drug Administration. www.fda.gov.
    • 23 European Medicines Agency. www.ema.europa.eu.
    • 24 Electronic PharmacoGenomics Assistant. www.epga.gr.
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    • 27 Kampourakis K, Vayena E, Mitropoulou C et al. Key challenges for next generation pharmacogenomics. EMBO Rep. 15(5), 472–476 (2014).
    • 28 Sagia A, Cooper DN, Poulas K, Stathakopoulos V, Patrinos GP. A critical appraisal of the private genetic and pharmacogenomic testing environment in Greece. Pers. Med. 8(4), 413–420 (2011).
    • 29 Mai Y, Koromila T, Sagia A et al. A critical view of the general public's awareness and physicians’ opinion of the trends and potential pitfalls of genetic testing in Greece. Pers. Med. 8(5), 551–561 (2011).
    • 30 Mai Y, Mitropoulou C, Papadopoulou XE et al. Critical appraisal of the views of healthcare professionals with respect to pharmacogenomics and personalized medicine in Greece. Pers. Med. 11(1), 15–26 (2014).
    • 31 Mitropoulou C, Mai Y, van Schaik RH, Vozikis A, Patrinos GP. Documentation and analysis of the policy environment and key stakeholders in pharmacogenomics and genomic medicine in Greece. Public Health Genomics 17(5–6), 280–286 (2014).
    • 32 Patrinos GP, Baker DJ, Al-Mulla F, Vasiliou V, Cooper DN. Genetic tests obtainable through pharmacies: the good, the bad and the ugly. Hum. Genomics 7(1), 17 (2013).
    • 33 Pisanu C, Tsermpini EE, Mavroidi E, Katsila T, Patrinos GP, Squassina A. Assessment of the pharmacogenomics educational environment in southeast Europe. Public Health Genomics 17(5–6), 272–279 (2014).
    • 34 Mitropoulou C, Fragoulakis V, Bozina N et al. Economic evaluation for pharmacogenomic-guided warfarin treatment for elderly Croatian patients with atrial fibrillation. Pharmacogenomics 16(2), 137–148 (2015).
    • 35 Mitropoulou C, Fragoulakis V, Rakicevic LB et al. Economic analysis of pharmacogenomic-guided clopidogrel treatment in Serbian patients with myocardial infarction undergoing primary percutaneous coronary intervention. Pharmacogenomics (2016) (In Press).
    • 36 Fragoulakis V, Mitropoulou C, van Schaik RH, Maniadakis N, Patrinos GP. An alternative methodological approach for cost–effectiveness analysis and decision making in genomic medicine. OMICS 20(5), 274–282 (2016).
    • 37 Ubiquitous Pharmacogenomics. www.upgx.eu.
    • 38 National Academy of Sciences of the USA – Global Genomic Medicine Collaborative. www.nationalacademies.org/hmd/Activities/Research/GenomicBasedResearch/Innovation-Collaboratives/Global_Genomic_Medicine_Collaborative.aspx.
    • 39 Manolio TA, Abramowicz M, Al-Mulla F et al. Global implementation of genomic medicine: we are not alone. Sci. Transl. Med. 7(290), 290ps13 (2015).
    • 40 Genomic Medicine Alliance. www.genomicmedicinealliance.org.
    • 41 Cooper DN, Brand A, Dolzan V et al. Bridging genomics research between developed and developing countries: the Genomic Medicine Alliance. Pers. Med. 11(7), 615–623 (2014).
    • 42 European Medicines Agency; CHMP Pharmacogenomics Working Party. www.ema.europa.eu/ema/index.jsp?curl=pages/contacts/CHMP/people_listing_000018.jsp&mid=WC0b01ac0580028d91.
    • 43 Squassina A, Artac M, Manolopoulos VG et al. Translation of genetic knowledge into clinical practice: the expectations and realities of pharmacogenomics and personalized medicine. Pharmacogenomics 11(8), 1149–1167 (2010).
    • 44 van der Wouden CH, Swen JJ, Samwald M, Mitropoulou C, Schwab M, Guchelaar HJ. On behalf of the Ubiquitous-Pharmacogenomics Consortium. A brighter future for the implementation of pharmacogenomic testing. Eur. J. Hum. Genet. doi:10.1038/ejhg.2016.116 (2016) (Epub ahead of print).