Literature DB >> 18690342

An analysis of the relative effects of VKORC1 and CYP2C9 variants on anticoagulation related outcomes in warfarin-treated patients.

Lisa M Meckley1, Ann K Wittkowsky, Mark J Rieder, Allan E Rettie, David L Veenstra.   

Abstract

The objective of this study was to assess the relative influence of VKORC1 and CYP2C9 genetic variants on several clinical outcomes related to warfarin treatment. We conducted a retrospective cohort analysis of 172 anticoagulation clinic patients followed from warfarin initiation. We assessed the following clinical outcomes: time to stable dose; time in, above, and below therapeutic range; the probability of overanticoagulation (international normalized ratio [INR] >5); frequency of anticoagulation clinic visits; and the contribution of genetics to maintenance dose. Patients with CYP2C9 variants, compared to those without, achieved stable dose 48% later (p < 0.01), spent a higher proportion of time above range in the first month of therapy (14% vs. 25%, p = 0.07), and had a higher odds ratio (OR) of an INR >5 (OR: 4.15, p = 0.03). In contrast, the only statistically significant effect with VKORC1 was a higher odds of an INR >5 (OR: 4.47, p = 0.03) for patients homozygous for the VKORC1 low-dose haplotype (AA) compared to heterozygotes. We did not detect an influence of CYP2C9 nor VKORC1 on the frequency of clinic visits. CYP2C9 alone, VKORC1 alone, and a combination of genetic and clinical factors explained 12%, 27%, and 50%, respectively, of the variation in warfarin maintenance dose. In conclusion, genetic variation in VKORC1 appears to have a different influence than CYP2C9 on anticoagulation-related outcomes such as bleeding events and time in therapeutic range. This difference may be due, in part, to pharmacokinetics factors (e.g. drug half-life), which are influenced primarily by CYP2C9; these findings should be confirmed in additional studies.

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Year:  2008        PMID: 18690342

Source DB:  PubMed          Journal:  Thromb Haemost        ISSN: 0340-6245            Impact factor:   5.249


  31 in total

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