Literature DB >> 33568995

Pharmacogenetics Guidelines: Overview and Comparison of the DPWG, CPIC, CPNDS, and RNPGx Guidelines.

Heshu Abdullah-Koolmees1, Antonius M van Keulen2, Marga Nijenhuis3, Vera H M Deneer1,2.   

Abstract

Many studies have shown that the efficacy and risk of side effects of drug treatment is influenced by genetic variants. Evidence based guidelines are essential for implementing pharmacogenetic knowledge in daily clinical practice to optimize pharmacotherapy of individual patients. A literature search was performed to select committees developing guidelines with recommendations being published in English. The Dutch Pharmacogenetics Working Group (DPWG), the Clinical Pharmacogenetics Implementation Consortium (CPIC), the Canadian Pharmacogenomics Network for Drug Safety (CPNDS), and the French National Network (Réseau) of Pharmacogenetics (RNPGx) were selected. Their guidelines were compared with regard to the methodology of development, translation of genotypes to predicted phenotypes, pharmacotherapeutic recommendations and recommendations on genotyping. A detailed overview of all recommendations for gene-drug combinations is given. The committees have similar methodologies of guideline development. However, the objectives differed at the start of their projects, which have led to unique profiles and strengths of their guidelines. DPWG and CPIC have a main focus on pharmacotherapeutic recommendations for a large number of drugs in combination with a patient's genotype or predicted phenotype. DPWG, CPNDS and RNPGx also recommend on performing genetic testing in daily clinical practice, with RNPGx even describing specific clinical settings or medical conditions for which genotyping is recommended. Discordances exist, however committees also initiated harmonizing projects. The outcome of a consensus project was to rename "extensive metabolizer (EM)" to "normal metabolizer (NM)". It was decided to translate a CYP2D6 genotype with one nonfunctional allele (activity score 1.0) into the predicted phenotype of intermediate metabolizer (IM). Differences in recommendations are the result of the methodologies used, such as assessment of dose adjustments of tricyclic antidepressants. In some cases, indication or dose specific recommendations are given for example for clopidogrel, codeine, irinotecan. The following drugs have recommendations on genetic testing with the highest level: abacavir (HLA), clopidogrel (CYP2C19), fluoropyrimidines (DPYD), thiopurines (TPMT), irinotecan (UGT1A1), codeine (CYP2D6), and cisplatin (TPMT). The guidelines cover many drugs and genes, genotypes, or predicted phenotypes. Because of this and their unique features, considering the totality of guidelines are of added value. In conclusion, many evidence based pharmacogenetics guidelines with clear recommendations are available for clinical decision making by healthcare professionals, patients and other stakeholders.
Copyright © 2021 Abdullah-Koolmees, van Keulen, Nijenhuis and Deneer.

Entities:  

Keywords:  CPIC; CPNDS; DPWG; RNPGx; guidelines; pharmacogenetics; pharmacogenomics; recommendations

Year:  2021        PMID: 33568995      PMCID: PMC7868558          DOI: 10.3389/fphar.2020.595219

Source DB:  PubMed          Journal:  Front Pharmacol        ISSN: 1663-9812            Impact factor:   5.810


  15 in total

1.  Comparison of clinical pharmacogenetic recommendations across therapeutic areas.

Authors:  Tyler Shugg; Amy L Pasternak; Jasmine A Luzum
Journal:  Pharmacogenet Genomics       Date:  2022-02-01       Impact factor: 2.089

2.  Role of ADME gene polymorphisms on imatinib disposition: results from a population pharmacokinetic study in chronic myeloid leukaemia.

Authors:  Bharati Shriyan; Parsshava Mehta; Anand Patil; Shraddha Jadhav; Sharath Kumar; Apeksha S Puri; Ravina Govalkar; Manjunath Nookala Krishnamurthy; Sachin Punatar; Anant Gokarn; Navin Khattry; Vikram Gota
Journal:  Eur J Clin Pharmacol       Date:  2022-06-02       Impact factor: 3.064

3.  Dutch Pharmacogenetics Working Group (DPWG) guideline for the gene-drug interaction between CYP2C19 and CYP2D6 and SSRIs.

Authors:  Jurriaan M J L Brouwer; Marga Nijenhuis; Bianca Soree; Henk-Jan Guchelaar; Jesse J Swen; Ron H N van Schaik; Jan van der Weide; Gerard A P J M Rongen; Anne-Marie Buunk; Nienke J de Boer-Veger; Elisa J F Houwink; Roos van Westrhenen; Bob Wilffert; Vera H M Deneer; Hans Mulder
Journal:  Eur J Hum Genet       Date:  2021-11-16       Impact factor: 5.351

4.  Perception of personalized medicine, pharmacogenomics, and genetic testing among undergraduates in Hong Kong.

Authors:  Nicholas Yan Chai Cheung; Jasmine Lee Fong Fung; Yvette Nga Chung Ng; Wilfred Hing Sang Wong; Claudia Ching Yan Chung; Christopher Chun Yu Mak; Brian Hon Yin Chung
Journal:  Hum Genomics       Date:  2021-08-18       Impact factor: 4.639

Review 5.  Pharmacogenomic Clinical Decision Support: A Review, How-to Guide, and Future Vision.

Authors:  Dyson T Wake; D Max Smith; Sadaf Kazi; Henry M Dunnenberger
Journal:  Clin Pharmacol Ther       Date:  2021-08-29       Impact factor: 6.903

6.  Elevated Risk of Fluoropyrimidine-Associated Toxicity in European Patients with DPYD Genetic Polymorphism: A Systematic Review and Meta-Analysis.

Authors:  Woorim Kim; Young-Ah Cho; Dong-Chul Kim; Kyung-Eun Lee
Journal:  J Pers Med       Date:  2022-02-06

7.  CYP2D6 Gene Polymorphisms and Variable Metabolic Activity in Schizophrenia Patients of Han and Tibetan Populations.

Authors:  Yong-Hang Li; Wei Huang; Man-Yu Xiao; Shi-Qing Huang; Hui Chen; Zai-Fang Li; Xue-Song Li; Yong Cheng
Journal:  Neuropsychiatr Dis Treat       Date:  2022-04-02       Impact factor: 2.570

Review 8.  Ethnic Diversity and Warfarin Pharmacogenomics.

Authors:  Innocent G Asiimwe; Munir Pirmohamed
Journal:  Front Pharmacol       Date:  2022-04-04       Impact factor: 5.988

Review 9.  Cardiovascular Pharmacogenomics: An Update on Clinical Studies of Antithrombotic Drugs in Brazilian Patients.

Authors:  Thiago Dominguez Crespo Hirata; Carolina Dagli-Hernandez; Fabiana Dalla Vecchia Genvigir; Volker Martin Lauschke; Yitian Zhou; Mario Hiroyuki Hirata; Rosario Dominguez Crespo Hirata
Journal:  Mol Diagn Ther       Date:  2021-08-06       Impact factor: 4.074

Review 10.  The Influence of Pharmacogenetics on the Clinical Relevance of Pharmacokinetic Drug-Drug Interactions: Drug-Gene, Drug-Gene-Gene and Drug-Drug-Gene Interactions.

Authors:  Martina Hahn; Sibylle C Roll
Journal:  Pharmaceuticals (Basel)       Date:  2021-05-20
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