Back
CYP2D6HGNC PubMedPreemptive genotyping

Analytical Validation of an Annotation Tool for WGS-Based Pharmacogenomics: Preparing for Clinical Implementation

Diekstra MHM, Biesot N, Donders J, et al.Clinical and Translational Science, 2026 · April 2026
Relevance score
7/10
Disease / domain
Clinical implementation of WGS for pharmacogenetics — analytical validation
Source
PubMed
PMID 41995114
Share on LinkedIn

Method / description

CYP2D6, CYP2C19, CYP2C9, SLCO1B1, TPMT, NUDT15, DPYD (WGS panel)

Validation of a PGx annotation tool on WGS data: concordance with dedicated genotyping panels (SNP arrays, qPCR) for CPIC Level A/B genes; sensitivity and specificity of allele calling from WGS

Summary

Analytical validation of a pharmacogenomic annotation tool from WGS (whole genome) data for clinical implementation. The tool is evaluated on the most clinically actionable CPIC Level A/B genes: CYP2D6, CYP2C19, CYP2C9, SLCO1B1, TPMT, NUDT15, DPYD. Concordance with dedicated genotyping panels (gold standard) is high for most genes. Residual challenges concern CYP2D6 duplication detection and resolution of highly polymorphic genes.

Synthesis written by Geno'X. For the full original abstract, please refer to the source publication.

Analysis

With the generalization of WGS in diagnostics, recovering PGx data without additional testing is a major objective. This validation demonstrates feasibility for the main CPIC Level A/B genes. Limitations on CYP2D6 (multiple copies) remain to be resolved before broad implementation in clinical routine.

Why this score?

WGS-PGx analytical validation (major clinical challenge) +2; high concordance with dedicated panels +2; Clin Transl Sci +1; clinical implementation impact +2

Keywords

WGSpharmacogenomicsanalytical validationCPICCYP2D6clinical implementation
Weekly report in your inbox

Every Wednesday · Annotated selection · Free · Unsubscribe anytime