Prediction of warfarin dose: why, when and how?
2012 (English)In: Pharmacogenomics (London), ISSN 1462-2416, E-ISSN 1744-8042, Vol. 13, no 4, 429-440 p.Article, review/survey (Refereed) Published
Prediction models are the key to individualized drug therapy. Warfarin is a typical example of where pharmacogenetics could help the individual patient by modeling the dose, based on clinical factors and genetic variation in CYP2C9 and VKORC1. Clinical studies aiming to show whether pharmacogenetic warfarin dose predictions are superior to conventional initiation of warfarin are now underway. This review provides a broad view over the field of warfarin pharmacogenetics from basic knowledge about the drug, how it is monitored, factors affecting dose requirement, prediction models in general and different types of prediction models for warfarin dosing.
Place, publisher, year, edition, pages
2012. Vol. 13, no 4, 429-440 p.
dosing algorithm, human CYP2C9 protein, human VKORC1 protein, pharmacogenetics models, statistical regression analysis, warfarin
Medical and Health Sciences
Research subject Clinical Pharmacology
IdentifiersURN: urn:nbn:se:uu:diva-170013DOI: 10.2217/pgs.11.184ISI: 000301098000018PubMedID: 22379999OAI: oai:DiVA.org:uu-170013DiVA: diva2:508173
FunderSwedish Research Council, K2012-66X-22105-01-3