Literature DB >> 26830424

[Personalized drug therapy based on genetics. Possibilities and examples from clinical practice].

J C Stingl1,2, K S Just3,4, K Kaumanns3,4, M Schurig-Urbaniak3,4, C Scholl3,4, D von Mallek3,4, J Brockmöller5.   

Abstract

BACKGROUND: Pharmacogenetics are an important component in the individualization of treatment; however, pharmacogenetic diagnostics have so far not been used to any great extent in clinical practice. A consistent consideration of individual patient factors, such as pharmacogenetics may help to improve drug therapy and increase individual safety and efficacy aspects.
OBJECTIVE: A brief summary of structures and effects of genetic variations on drug efficacy is presented. Some frequently prescribed pharmaceuticals are specified. Furthermore, the feasibility of pharmacogenetic diagnostics and dose recommendations in the clinical practice are described. CURRENT DATA: The European Medicines Agency (EMA) as the European approval authority has already extended the drug labels of more than 70 pharmaceuticals by information on pharmacogenetic biomarkers and the U.S. Food and Drug Administration (FDA) more than 150. This is a crucial step towards targeted medicine. Guidelines on dose and therapy adjustments are provided by the Clinical Pharmacogenetics Implementation Consortium of the Pharmacogenomics Research Network.
CONCLUSION: It is fundamental to consider individual patient factors for successful drug therapy. Dose and therapy recommendations based on pharmacogenetic diagnostics are highly important for individualization as well as improvement of safety and efficiency of drug therapy.

Entities:  

Keywords:  Dose recommendations; Drug therapy, safety; Guidelines; Personalized medicine; Pharmacogenetics

Mesh:

Substances:

Year:  2016        PMID: 26830424     DOI: 10.1007/s00108-015-0013-7

Source DB:  PubMed          Journal:  Internist (Berl)        ISSN: 0020-9554            Impact factor:   0.743


  47 in total

1.  CPIC: Clinical Pharmacogenetics Implementation Consortium of the Pharmacogenomics Research Network.

Authors:  M V Relling; T E Klein
Journal:  Clin Pharmacol Ther       Date:  2011-01-26       Impact factor: 6.875

Review 2.  Pharmacogenetics of antidepressants and antipsychotics: the contribution of allelic variations to the phenotype of drug response.

Authors:  J Kirchheiner; K Nickchen; M Bauer; M-L Wong; J Licinio; I Roots; J Brockmöller
Journal:  Mol Psychiatry       Date:  2004-05       Impact factor: 15.992

Review 3.  [Personalised pharmacogenetics. Evidence-based guidelines and clinical application of pharmacogenetic diagnostics].

Authors:  J C Stingl; J Brockmöller
Journal:  Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz       Date:  2013-11       Impact factor: 1.513

Review 4.  Clinical consequences of cytochrome P450 2C9 polymorphisms.

Authors:  Julia Kirchheiner; Jürgen Brockmöller
Journal:  Clin Pharmacol Ther       Date:  2005-01       Impact factor: 6.875

5.  Amplification of P-glycoprotein genes in multidrug-resistant mammalian cell lines.

Authors:  J R Riordan; K Deuchars; N Kartner; N Alon; J Trent; V Ling
Journal:  Nature       Date:  1985 Aug 29-Sep 4       Impact factor: 49.962

6.  Impact of the ultrarapid metabolizer genotype of cytochrome P450 2D6 on metoprolol pharmacokinetics and pharmacodynamics.

Authors:  Julia Kirchheiner; Claudia Heesch; Steffen Bauer; Christian Meisel; Angela Seringer; Mark Goldammer; Mladen Tzvetkov; Ingolf Meineke; Ivar Roots; Jürgen Brockmöller
Journal:  Clin Pharmacol Ther       Date:  2004-10       Impact factor: 6.875

Review 7.  Pharmacogenetics and cardiovascular disease--implications for personalized medicine.

Authors:  Julie A Johnson; Larisa H Cavallari
Journal:  Pharmacol Rev       Date:  2013-05-17       Impact factor: 25.468

8.  The largest prospective warfarin-treated cohort supports genetic forecasting.

Authors:  Mia Wadelius; Leslie Y Chen; Jonatan D Lindh; Niclas Eriksson; Mohammed J R Ghori; Suzannah Bumpstead; Lennart Holm; Ralph McGinnis; Anders Rane; Panos Deloukas
Journal:  Blood       Date:  2008-06-23       Impact factor: 22.113

9.  Pharmacokinetics of codeine and its metabolites in Caucasian healthy volunteers: comparisons between extensive and poor hydroxylators of debrisoquine.

Authors:  Q Y Yue; J Hasselström; J O Svensson; J Säwe
Journal:  Br J Clin Pharmacol       Date:  1991-06       Impact factor: 4.335

Review 10.  HLA genotype and carbamazepine-induced cutaneous adverse drug reactions: a systematic review.

Authors:  V L Yip; A G Marson; A L Jorgensen; M Pirmohamed; A Alfirevic
Journal:  Clin Pharmacol Ther       Date:  2012-11-07       Impact factor: 6.875

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  1 in total

1.  Individualized versus standardized risk assessment in patients at high risk for adverse drug reactions (IDrug) - study protocol for a pragmatic randomized controlled trial.

Authors:  Julia Carolin Stingl; Katharina Luise Kaumanns; Katrin Claus; Marie-Louise Lehmann; Kathrin Kastenmüller; Markus Bleckwenn; Gunther Hartmann; Michael Steffens; Dorothee Wirtz; Ann-Kristin Leuchs; Norbert Benda; Florian Meier; Oliver Schöffski; Stefan Holdenrieder; Christoph Coch; Klaus Weckbecker
Journal:  BMC Fam Pract       Date:  2016-04-26       Impact factor: 2.497

  1 in total

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