Interrogation of CYP2D6 Structural Variant Alleles Improves the Correlation Between CYP2D6 Genotype and CYP2D6-Mediated Metabolic Activity.


Journal

Clinical and translational science
ISSN: 1752-8062
Titre abrégé: Clin Transl Sci
Pays: United States
ID NLM: 101474067

Informations de publication

Date de publication:
01 2020
Historique:
received: 01 08 2019
accepted: 08 08 2019
pubmed: 20 9 2019
medline: 16 6 2021
entrez: 20 9 2019
Statut: ppublish

Résumé

The cytochrome P450 2D6 (CYP2D6) gene locus is challenging to accurately genotype due to numerous single nucleotide variants and complex structural variation. Our goal was to determine whether the CYP2D6 genotype-phenotype correlation is improved when diplotype assignments incorporate structural variation, identified by the bioinformatics tool Stargazer, with next-generation sequencing data. Using CYP2D6 activity measured with substrates dextromethorphan and metoprolol, activity score explained 40% and 34% of variability in metabolite formation rates, respectively, when diplotype calls incorporated structural variation, increasing from 36% and 31%, respectively, when diplotypes did not incorporate structural variation. We also investigated whether the revised Clinical Pharmacogenetics Implementation Consortium (CPIC) recommendations for translating genotype to phenotype improve CYP2D6 activity predictions over the current system. Although the revised recommendations do not improve the correlation between activity score and CYP2D6 activity, perhaps because of low frequency of the CYP2D6*10 allele, the correlation with metabolizer phenotype group was significantly improved for both substrates. We also measured the function of seven rare coding variants: one (A449D) exhibited decreased (44%) and another (R474Q) increased (127%) activity compared with reference CYP2D6.1 protein. Allele-specific analysis found that A449D is part of a novel CYP2D6*4 suballele, CYP2D6*4.028. The novel haplotype containing R474Q was designated CYP2D6*138 by PharmVar; another novel haplotype containing R365H was designated CYP2D6*139. Accuracy of CYP2D6 phenotype prediction is improved when the CYP2D6 gene locus is interrogated using next-generation sequencing coupled with structural variation analysis. Additionally, revised CPIC genotype to phenotype translation recommendations provides an improvement in assigning CYP2D6 activity.

Identifiants

pubmed: 31536170
doi: 10.1111/cts.12695
pmc: PMC6951848
doi:

Substances chimiques

Dextrorphan 04B7QNO9WS
alpha-hydroxymetoprolol 56392-16-6
Dextromethorphan 7355X3ROTS
Cytochrome P-450 CYP2D6 EC 1.14.14.1
Metoprolol GEB06NHM23

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

147-156

Subventions

Organisme : NIGMS NIH HHS
ID : U01 GM092676
Pays : United States
Organisme : NIGMS NIH HHS
ID : R24 GM115277
Pays : United States
Organisme : Howard Hughes Medical Institute
Pays : United States
Organisme : NIEHS NIH HHS
ID : P30 ES007033
Pays : United States
Organisme : NIGMS NIH HHS
ID : R01 GM132162
Pays : United States
Organisme : NIGMS NIH HHS
ID : P01 GM116691
Pays : United States

Informations de copyright

© 2019 The Authors. Clinical and Translational Science published by Wiley Periodicals, Inc. on behalf of the American Society for Clinical Pharmacology and Therapeutics.

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Auteurs

Rachel Dalton (R)

Department of Biomedical and Pharmaceutical Sciences, University of Montana, Missoula, Montana, USA.

Seung-Been Lee (SB)

Departments of Genome Sciences, University of Washington, Seattle, Washington, USA.

Katrina G Claw (KG)

Department of Pharmaceutics, University of Washington, Seattle, Washington, USA.

Bhagwat Prasad (B)

Department of Pharmaceutics, University of Washington, Seattle, Washington, USA.

Brian R Phillips (BR)

Department of Pharmaceutics, University of Washington, Seattle, Washington, USA.

Danny D Shen (DD)

Department of Pharmaceutics, University of Washington, Seattle, Washington, USA.

Lai Hong Wong (LH)

Departments of Genome Sciences, University of Washington, Seattle, Washington, USA.

Mitch Fade (M)

Departments of Genome Sciences, University of Washington, Seattle, Washington, USA.

Matthew G McDonald (MG)

Department of Medicinal Chemistry, University of Washington, Seattle, Washington, USA.

Maitreya J Dunham (MJ)

Departments of Genome Sciences, University of Washington, Seattle, Washington, USA.

Douglas M Fowler (DM)

Departments of Genome Sciences, University of Washington, Seattle, Washington, USA.

Allan E Rettie (AE)

Department of Medicinal Chemistry, University of Washington, Seattle, Washington, USA.

Erin Schuetz (E)

Department of Pharmaceutical Sciences, St. Jude Children's Research Hospital, Memphis, Tennessee, USA.

Timothy A Thornton (TA)

Department of Biostatistics, University of Washington, Seattle, Washington, USA.

Deborah A Nickerson (DA)

Departments of Genome Sciences, University of Washington, Seattle, Washington, USA.

Andrea Gaedigk (A)

Division of Clinical Pharmacology, Toxicology, & Therapeutic Innovation, Children's Mercy Kansas City and School of Medicine, University of Missouri-Kansas City, Kansas City, Missouri, USA.

Kenneth E Thummel (KE)

Department of Pharmaceutics, University of Washington, Seattle, Washington, USA.

Erica L Woodahl (EL)

Department of Biomedical and Pharmaceutical Sciences, University of Montana, Missoula, Montana, USA.

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Classifications MeSH