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Benchmark of Open-Access Star-Allele Callers to Accurately Assess Haplotypes and Phenotypes in Pharmacogenetic Studies

Gros-La-Faige MB, Genin E, Herzig AFClin Pharmacol Ther 2026 · June 2026
Relevance score
6/10
Disease / domain
Pharmacogenetics — benchmark of star-allele calling tools
Source
PubMed
PMID 42312650
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Gene–drug pair / mechanism

Systematic comparison of open-access callers (PyPGx, ursaPGx, PharmCAT, Aldy) for pharmacogenetic star-allele and phenotype calling

Summary

A French study (IGBMC/Brest) presents a rigorous benchmark of four open-access star-allele callers — PyPGx, ursaPGx, PharmCAT, and Aldy — on large public clinical cohorts covering several major pharmacogenes (CYP2D6, CYP2C19, DPYD, TPMT, CYP3A5). Performance varies significantly by gene and data type (WGS, WES, array), with pharmacogene-specific guidance. This benchmark provides laboratories wishing to implement PGx with a practical tool-selection guide.

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

Analysis

This benchmark from a French team (Genin/Herzig, IGBMC Strasbourg + Brest) is a directly applicable contribution for clinical genomics laboratories implementing a PGx program. Gene- and data-type-specific guidance is the practical strength. Notably, no single caller dominates across all genes — the choice remains contextual based on the laboratory's priority gene.

Why this score?

Impact 1/3Evidence 2/3Novelty 1/2Sample 1/1Publication 1/1

Clinical impact: 1/3 · Evidence strength: 2/3 · Novelty: 1/2 · Sample size: 1/1 · Publication status: 1/1 → Total: 6/10

Keywords

star-alleleCYP2D6benchmarkpharmacogeneticsbioinformatics
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