Literature DB >> 35590072

Exome sequencing allows detection of relevant pharmacogenetic variants in epileptic patients.

Simon Verdez1,2, Quentin Thomas3,4, Philippine Garret3,4,5, Céline Verstuyft6, Emilie Tisserant3,4, Antonio Vitobello3,4, Frédéric Tran Mau-Them3,4, Christophe Philippe3,4, Marc Bardou7,8, Maxime Luu7,8, Abderrahmane Bourredjem8,9, Patrick Callier3,4, Christel Thauvin-Robinet3,4,10,11, Nicolas Picard12, Laurence Faivre3,11, Yannis Duffourd13,14.   

Abstract

Beyond the identification of causal genetic variants in the diagnosis of Mendelian disorders, exome sequencing can detect numerous variants with potential relevance for clinical care. Clinical interventions can thus be conducted to improve future health outcomes for patients and their at-risk relatives, such as predicting late-onset genetic disorders accessible to prevention, treatment or identifying differential drug efficacy and safety. To evaluate the interest of such pharmacogenetic information, we designed an "in house" pipeline to determine the status of 122 PharmGKB (Pharmacogenomics Knowledgebase) variant-drug combinations in 31 genes. This pipeline was applied to a cohort of 90 epileptic patients who had previously an exome sequencing (ES) analysis, to determine the frequency of pharmacogenetic variants. We performed a retrospective analysis of drug plasma concentrations and treatment efficacy in patients bearing at least one relevant PharmGKB variant. For PharmGKB level 1A variants, CYP2C9 status for phenytoin prescription was the only relevant information. Nineteen patients were treated with phenytoin, among phenytoin-treated patients, none were poor metabolizers and four were intermediate metabolizers. While being treated with a standard protocol (10-23 mg/kg/30 min loading dose followed by 5 mg/kg/8 h maintenance dose), all identified intermediate metabolizers had toxic plasma concentrations (20 mg/L). In epileptic patients, pangenomic sequencing can provide information about common pharmacogenetic variants likely to be useful to guide therapeutic drug monitoring, and in the case of phenytoin, to prevent clinical toxicity caused by high plasma levels.
© 2022. The Author(s), under exclusive licence to Springer Nature Limited.

Entities:  

Year:  2022        PMID: 35590072     DOI: 10.1038/s41397-022-00280-w

Source DB:  PubMed          Journal:  Pharmacogenomics J        ISSN: 1470-269X            Impact factor:   3.550


  1 in total

1.  Roles of cytochrome P4502C9 and cytochrome P4502C19 in the stereoselective metabolism of phenytoin to its major metabolite.

Authors:  M Bajpai; L K Roskos; D D Shen; R H Levy
Journal:  Drug Metab Dispos       Date:  1996-12       Impact factor: 3.922

  1 in total
  1 in total

1.  Pharmacogenomics: an opportunity for personalised psychotropic prescribing in adults with intellectual disabilities.

Authors:  Bhathika Perera; Charles Steward; Ken Courtenay; Timothy Andrews; Rohit Shankar
Journal:  BJPsych Open       Date:  2022-08-17
  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.