Evidence map›Paper›PMID 35590072›Full record

ArticleThe pharmacogenomics journal2022

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

Simon Verdez, Quentin Thomas, Philippine Garret, Céline Verstuyft, Emilie Tisserant, Antonio Vitobello, Frédéric Tran Mau-Them, Christophe Philippe, Marc Bardou, Maxime Luu and 6 more

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In one paragraph

Article in The pharmacogenomics journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.8field-weighted citation impact, top 27% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors at 3 institutions in 1 country.

Simon VerdezUMR1231 GAD, Inserm, Université Bourgogne-Franche Comté, Dijon, France. simon.verdez@chu-dijon.fr.ORCID 0000-0001-5090-4065
Quentin ThomasUMR1231 GAD, Inserm, Université Bourgogne-Franche Comté, Dijon, France.
Philippine GarretUMR1231 GAD, Inserm, Université Bourgogne-Franche Comté, Dijon, France.
Céline VerstuyftUniversité Paris-Saclay, Inserm, CESP, Team MOODS, Faculté de médecine, 94270, Le Kremlin-Bicêtre, Paris, France.
Emilie TisserantUMR1231 GAD, Inserm, Université Bourgogne-Franche Comté, Dijon, France.
Antonio VitobelloUMR1231 GAD, Inserm, Université Bourgogne-Franche Comté, Dijon, France.ORCID 0000-0003-3717-8374
Frédéric Tran Mau-ThemUMR1231 GAD, Inserm, Université Bourgogne-Franche Comté, Dijon, France.ORCID 0000-0002-3795-9456
Christophe PhilippeUMR1231 GAD, Inserm, Université Bourgogne-Franche Comté, Dijon, France.ORCID 0000-0001-7098-6520
Marc BardouCHU de Dijon, Centre d'Investigation Clinique, module plurithématique, 21000, Dijon, France.
Maxime LuuCHU de Dijon, Centre d'Investigation Clinique, module plurithématique, 21000, Dijon, France.ORCID 0000-0002-9024-293X
Abderrahmane BourredjemCHU de Dijon, Centre d'Investigation Clinique, module Epidémiologie Clinique/Essais cliniques, 21000, Dijon, France.
Patrick CallierUMR1231 GAD, Inserm, Université Bourgogne-Franche Comté, Dijon, France.
Christel Thauvin-RobinetUMR1231 GAD, Inserm, Université Bourgogne-Franche Comté, Dijon, France.
Nicolas PicardInserm U1248, service de pharmacologie et toxicologie, université de Limoges, CHU de Limoges, F-87042, Limoges, France.
Laurence FaivreUMR1231 GAD, Inserm, Université Bourgogne-Franche Comté, Dijon, France.
Yannis DuffourdUMR1231 GAD, Inserm, Université Bourgogne-Franche Comté, Dijon, France. yannis.duffourd@u-bourgogne.fr.
Inserm · FRCHU Dijon Bourgogne · FRSaint-Gobain (France) · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

EpilepsyPharmacogenomic VariantsExomeHumansPhenytoinRetrospective StudiesPhenytoin

Identifiers

PMID35590072
OpenAlexW4280498263

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.