| Literature DB >> 16680137 |
Yingying Guo1, Paul Weller, Erin Farrell, Paul Cheung, Bill Fitch, Douglas Clark, Shao-yong Wu, Jianmei Wang, Guochun Liao, Zhaomei Zhang, John Allard, Janet Cheng, Anh Nguyen, Sharon Jiang, Steve Shafer, Jonathan Usuka, Mohammad Masjedizadeh, Gary Peltz.
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.Entities:
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Year: 2006 PMID: 16680137 PMCID: PMC1459533 DOI: 10.1038/nbt1195
Source DB: PubMed Journal: Nat Biotechnol ISSN: 1087-0156 Impact factor: 54.908