In silico pharmacogenetics of warfarin metabolism
- PMID: 16680137
- PMCID: PMC1459533
- DOI: 10.1038/nbt1195
In silico pharmacogenetics of warfarin metabolism
Abstract
Pharmacogenetic approaches can be instrumental for predicting individual differences in response to a therapeutic intervention. Here we used a recently developed murine haplotype-based computational method to identify a genetic factor regulating the metabolism of warfarin, a commonly prescribed anticoagulant with a narrow therapeutic index and a large variation in individual dosing. After quantification of warfarin and nine of its metabolites in plasma from 13 inbred mouse strains, we correlated strain-specific differences in 7-hydroxywarfarin accumulation with genetic variation within a chromosomal region encoding cytochrome P450 2C (Cyp2c) enzymes. This computational prediction was experimentally confirmed by showing that the rate-limiting step in biotransformation of warfarin to its 7-hydroxylated metabolite was inhibited by tolbutamide, a Cyp2c isoform-specific substrate, and that this transformation was mediated by expressed recombinant Cyp2c29. We show that genetic variants responsible for interindividual pharmacokinetic differences in drug metabolism can be identified by computational genetic analysis in mice.
Figures
References
-
- Evans WE, Relling MV. Pharmacogenomics: translating functional genomics into rational therapeutics. Science. 1999;286:487–91. - PubMed
-
- Wang, J., Peltz, G. Haplotype-Based Computational Genetic Analysis in Mice. In Computational Genetics and Genomics: New Tools for Understanding Disease (ed. Peltz, G.) 51–70 (Humana Press Inc, Totowa, NJ, 2005).
-
- Wang J, Liao G, Usuka J, Peltz G. Computational genetics: from mouse to human? Trends Genet. 2005;21:526–32. - PubMed
-
- Liao G, et al. In silico genetics: identification of a functional element regulating H2-Ealpha gene expression. Science. 2004;306:690–5. - PubMed
-
- Wang, J., et al.,. Haplotypic structure of the mouse genome. In Computational Genetics and Genomics: New Tools for Disease Biology (ed. Peltz, G.) 71–83 (Humana Press Inc, Totowa, NJ, 2005).
Publication types
MeSH terms
Substances
Grants and funding
LinkOut - more resources
Full Text Sources
Medical
