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A European Spectrum of Pharmacogenomic Biomarkers: Implications for Clinical Pharmacogenomics

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00064203%3A_____%2F16%3A10332659" target="_blank" >RIV/00064203:_____/16:10332659 - isvavai.cz</a>

  • Alternative codes found

    RIV/00216208:11130/16:10332659

  • Result on the web

    <a href="http://dx.doi.org/10.1371/journal.pone.0162866" target="_blank" >http://dx.doi.org/10.1371/journal.pone.0162866</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1371/journal.pone.0162866" target="_blank" >10.1371/journal.pone.0162866</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    A European Spectrum of Pharmacogenomic Biomarkers: Implications for Clinical Pharmacogenomics

  • Original language description

    Pharmacogenomics aims to correlate inter-individual differences of drug efficacy and/or toxicity with the underlying genetic composition, particularly in genes encoding for protein factors and enzymes involved in drug metabolism and transport. In several European populations, particularly in countries with lower income, information related to the prevalence of pharmacogenomic biomarkers is incomplete or lacking. Here, we have implemented the microattribution approach to assess the pharmacogenomic biomarkers allelic spectrum in 18 European populations, mostly from developing European countries, by analyzing 1,931 pharmacogenomics biomarkers in 231 genes. Our data show significant interpopulation pharmacogenomic biomarker allele frequency differences, particularly in 7 clinically actionable pharmacogenomic biomarkers in 7 European populations, affecting drug efficacy and/ or toxicity of 51 medication treatment modalities. These data also reflect on the differences observed in the prevalence of high-risk genotypes in these populations, as far as common markers in the CYP2C9, CYP2C19, CYP3A5, VKORC1, SLCO1B1 and TPMT pharmacogenes are concerned. Also, our data demonstrate notable differences in predicted genotype-based warfarin dosing among these populations. Our findings can be exploited not only to develop guidelines for medical prioritization, but most importantly to facilitate integration of pharmacogenomics and to support pre-emptive pharmacogenomic testing. This may subsequently contribute towards significant cost-savings in the overall healthcare expenditure in the participating countries, where pharmacogenomics implementation proves to be cost-effective.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    EB - Genetics and molecular biology

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/LM2015091" target="_blank" >LM2015091: National Center for Medical Genomic</a><br>

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2016

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    PLoS ONE

  • ISSN

    1932-6203

  • e-ISSN

  • Volume of the periodical

    11

  • Issue of the periodical within the volume

    9

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    19

  • Pages from-to

  • UT code for WoS article

    000383723700018

  • EID of the result in the Scopus database

    2-s2.0-84992409620