Pharmacogenetic variants in the molecular characterization initiative: a report from the children's oncology group.

Authors

Cyrine E Haidar, Wenjian Yang, Rachel D Harris, Andrew Ostrenga, Alberto Pappo, Douglas S Hawkins, Jun J Yang, Philip J Lupo, Melanie Brooke Bernhardt

Published in

Journal of the National Cancer Institute. Aug 24, 2026. Epub Aug 24, 2026.

Abstract

The Childhood Cancer Data Initiative Molecular Characterization Initiative (MCI) provides molecular testing to patients with select tumors treated at Children's Oncology Group (COG) sites, advancing our understanding of the genetic basis of pediatric cancers and their treatment. However, the frequency of actionable pharmacogenomic variants in this cohort has not yet been explored.
Germline exome sequencing data were generated by the Institute for Genomic Medicine at Nationwide Children's Hospital. Clinically actionable pharmacogenetic variants for 13 genes were based on guidelines by the Clinical Pharmacogenetics Implementation Consortium. Pharmacogenomic diplotypes were extracted using PharmCAT. The T1K computational method was used to infer HLA alleles. Genetic ancestry was estimated by iAdmix using 1000 genomes as reference. Observed variant allele frequencies were compared to gnomAD and All of Us cohorts.
Pharmacogenomic diplotypes were extracted for 3,177 patients. Most patients had a central nervous system (CNS) tumor (69%). Genetic composition of the population was diverse with 51% European, 21% Admixed American, and 9% African. Ninety-three percent (n = 2,940) of patients had at least one actionable pharmacogenomic phenotype necessitating modification to one or more medications. We did not observe a difference across ancestral populations in the frequency of individuals carrying at least one actionable variant (p = 0.07). Variant and allele frequencies were similar to those in the gnomAD and All of Us cohorts (R2>0.99).
Overall, the vast majority (93%) of patients diagnosed with pediatric cancer within the MCI had an actionable pharmacogenomic phenotype for 13 pharmacogenes evaluated.

PMID:
42636256
Bibliographic data and abstract were imported from PubMed on 25 Aug 2026.

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