Long-read sequencing of CYP2D6 may improve psychotropic prescribing and treatment outcomes: A systematic review and meta-analysis.

CYP2D6 long-read sequencing pharmacogenetics precision medicine psychotropic drugs

Journal

Journal of psychopharmacology (Oxford, England)
ISSN: 1461-7285
Titre abrégé: J Psychopharmacol
Pays: United States
ID NLM: 8907828

Informations de publication

Date de publication:
11 Sep 2024
Historique:
medline: 12 9 2024
pubmed: 12 9 2024
entrez: 12 9 2024
Statut: aheadofprint

Résumé

The enzyme expression (i.e. phenotype) of the Cytochrome P450 2D6 (CYP2D6) gene is highly relevant to the metabolism of psychotropic medications, and therefore to precision medicine (i.e. personalised prescribing). This review aims to assess the improvement in CYP2D6 phenotyping sensitivity (IPS) and accuracy (IPA) offered by long-read sequencing (LRS), a new genetic testing technology. Human DNA samples that underwent LRS genotyping of CYP2D6 in published, peer-reviewed clinical research were eligible for inclusion. A systematic literature search was conducted until 30 September 2023. CYP2D6 genotypes were translated into phenotypes using the international consensus method. IPS was the percentage of non-normal LRS CYP2D6 phenotypes undetectable with FDA-approved testing (AmpliChip). IPA was the percentage of LRS CYP2D6 phenotypes mischaracterised by non-LRS genetic tests (for samples with LRS and non-LRS data). Six studies and 1411 samples were included. In a meta-analysis of four studies, IPS was 10% overall (95% CI = (2, 18); LRS improves CYP2D6 phenotyping compared to established genetic tests, particularly amongst Oceanian and Japanese individuals, and those with novel or complex genotypes. LRS may therefore assist in optimising personalised prescribing of psychotropic medications. Further research is needed to determine associated clinical benefits, such as increased medication safety and efficacy.

Sections du résumé

BACKGROUND UNASSIGNED
The enzyme expression (i.e. phenotype) of the Cytochrome P450 2D6 (CYP2D6) gene is highly relevant to the metabolism of psychotropic medications, and therefore to precision medicine (i.e. personalised prescribing).
AIMS UNASSIGNED
This review aims to assess the improvement in CYP2D6 phenotyping sensitivity (IPS) and accuracy (IPA) offered by long-read sequencing (LRS), a new genetic testing technology.
METHODS UNASSIGNED
Human DNA samples that underwent LRS genotyping of CYP2D6 in published, peer-reviewed clinical research were eligible for inclusion. A systematic literature search was conducted until 30 September 2023. CYP2D6 genotypes were translated into phenotypes using the international consensus method. IPS was the percentage of non-normal LRS CYP2D6 phenotypes undetectable with FDA-approved testing (AmpliChip). IPA was the percentage of LRS CYP2D6 phenotypes mischaracterised by non-LRS genetic tests (for samples with LRS and non-LRS data).
RESULTS UNASSIGNED
Six studies and 1411 samples were included. In a meta-analysis of four studies, IPS was 10% overall (95% CI = (2, 18);
CONCLUSIONS UNASSIGNED
LRS improves CYP2D6 phenotyping compared to established genetic tests, particularly amongst Oceanian and Japanese individuals, and those with novel or complex genotypes. LRS may therefore assist in optimising personalised prescribing of psychotropic medications. Further research is needed to determine associated clinical benefits, such as increased medication safety and efficacy.

Identifiants

pubmed: 39262167
doi: 10.1177/02698811241268899
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

2698811241268899

Déclaration de conflit d'intérêts

Declaration of conflicting interestsThe author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Auteurs

Dean Kaptsis (D)

College of Medicine and Public Health, Flinders University, Bedford Park, SA, Australia.

Martin Lewis (M)

Neuropsychiatric Laboratory, South Australian Health and Medical Research Institute, Adelaide, SA, Australia.
School of Biological Sciences, The University of Adelaide, Adelaide, SA, Australia.

Michael Sorich (M)

College of Medicine and Public Health, Flinders University, Bedford Park, SA, Australia.

Malcolm Battersby (M)

College of Medicine and Public Health, Flinders University, Bedford Park, SA, Australia.

Classifications MeSH