Gene-Specific Variant Classifier (DPYD-Varifier) to Identify Deleterious Alleles of Dihydropyrimidine Dehydrogenase.
Journal:
Clinical pharmacology and therapeutics
PMID:
29327356
Abstract
Deleterious variants in dihydropyrimidine dehydrogenase (DPD, DPYD gene) can be highly predictive of clinical toxicity to the widely prescribed chemotherapeutic 5-fluorouracil (5-FU). However, there are very limited data pertaining to the functional consequences of the >450 reported no-synonymous DPYD variants. We developed a DPYD-specific variant classifier (DPYD-Varifier) using machine learning and in vitro functional data for 156 missense DPYD variants. The developed model showed 85% accuracy and outperformed other in silico prediction tools. An examination of feature importance within the model provided additional insight into functional aspects of the DPD protein relevant to 5-FU toxicity. In the absence of clinical data for unstudied variants, prediction tools like DPYD-Varifier have great potential to individualize medicine and improve the clinical decision-making process.
Authors
Keywords
Antimetabolites, Antineoplastic
Cell Survival
Computer Simulation
Dihydrouracil Dehydrogenase (NADP)
Dose-Response Relationship, Drug
Fluorouracil
Gene Frequency
Genotype
HCT116 Cells
HEK293 Cells
Humans
Inhibitory Concentration 50
Machine Learning
Models, Molecular
Mutation, Missense
Pharmacogenetics
Pharmacogenomic Testing
Pharmacogenomic Variants
Predictive Value of Tests
Protein Conformation
Risk Assessment
Structure-Activity Relationship