Association of warfarin dose with genes involved in its action and metabolism

We report an extensive study of variability in genes encoding proteins that are believed to be involved in the action and biotransformation of warfarin. Warfarin is a commonly prescribed anticoagulant that is difficult to use because of the wide interindividual variation in dose requirements, the na...

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Main Authors: Wadelius, Mia, Chen, Leslie Y., Eriksson, Niclas, Bumpstead, Suzannah, Ghori, Jilur, Wadelius, Claes, Bentley, David, McGinnis, Ralph, Deloukas, Panos
Format: Online
Language:English
Published: Springer-Verlag 2006
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1797064/
id pubmed-1797064
recordtype oai_dc
spelling pubmed-17970642007-02-13 Association of warfarin dose with genes involved in its action and metabolism Wadelius, Mia Chen, Leslie Y. Eriksson, Niclas Bumpstead, Suzannah Ghori, Jilur Wadelius, Claes Bentley, David McGinnis, Ralph Deloukas, Panos Original Investigation We report an extensive study of variability in genes encoding proteins that are believed to be involved in the action and biotransformation of warfarin. Warfarin is a commonly prescribed anticoagulant that is difficult to use because of the wide interindividual variation in dose requirements, the narrow therapeutic range and the risk of serious bleeding. We genotyped 201 patients for polymorphisms in 29 genes in the warfarin interactive pathways and tested them for association with dose requirement. In our study, polymorphisms in or flanking the genes VKORC1, CYP2C9, CYP2C18, CYP2C19, PROC, APOE, EPHX1, CALU, GGCX and ORM1-ORM2 and haplotypes of VKORC1, CYP2C9, CYP2C8, CYP2C19, PROC, F7, GGCX, PROZ, F9, NR1I2 and ORM1-ORM2 were associated with dose (P < 0.05). VKORC1, CYP2C9, CYP2C18 and CYP2C19 were significant after experiment-wise correction for multiple testing (P < 0.000175), however, the association of CYP2C18 and CYP2C19 was fully explained by linkage disequilibrium with CYP2C9*2 and/or *3. PROC and APOE were both significantly associated with dose after correction within each gene. A multiple regression model with VKORC1, CYP2C9, PROC and the non-genetic predictors age, bodyweight, drug interactions and indication for treatment jointly accounted for 62% of variance in warfarin dose. Weaker associations observed for other genes could explain up to ∼10% additional dose variance, but require testing and validation in an independent and larger data set. Translation of this knowledge into clinical guidelines for warfarin prescription will be likely to have a major impact on the safety and efficacy of warfarin. Springer-Verlag 2006-10-18 2007-03 /pmc/articles/PMC1797064/ /pubmed/17048007 http://dx.doi.org/10.1007/s00439-006-0260-8 Text en © Springer-Verlag 2006
repository_type Open Access Journal
institution_category Foreign Institution
institution US National Center for Biotechnology Information
building NCBI PubMed
collection Online Access
language English
format Online
author Wadelius, Mia
Chen, Leslie Y.
Eriksson, Niclas
Bumpstead, Suzannah
Ghori, Jilur
Wadelius, Claes
Bentley, David
McGinnis, Ralph
Deloukas, Panos
spellingShingle Wadelius, Mia
Chen, Leslie Y.
Eriksson, Niclas
Bumpstead, Suzannah
Ghori, Jilur
Wadelius, Claes
Bentley, David
McGinnis, Ralph
Deloukas, Panos
Association of warfarin dose with genes involved in its action and metabolism
author_facet Wadelius, Mia
Chen, Leslie Y.
Eriksson, Niclas
Bumpstead, Suzannah
Ghori, Jilur
Wadelius, Claes
Bentley, David
McGinnis, Ralph
Deloukas, Panos
author_sort Wadelius, Mia
title Association of warfarin dose with genes involved in its action and metabolism
title_short Association of warfarin dose with genes involved in its action and metabolism
title_full Association of warfarin dose with genes involved in its action and metabolism
title_fullStr Association of warfarin dose with genes involved in its action and metabolism
title_full_unstemmed Association of warfarin dose with genes involved in its action and metabolism
title_sort association of warfarin dose with genes involved in its action and metabolism
description We report an extensive study of variability in genes encoding proteins that are believed to be involved in the action and biotransformation of warfarin. Warfarin is a commonly prescribed anticoagulant that is difficult to use because of the wide interindividual variation in dose requirements, the narrow therapeutic range and the risk of serious bleeding. We genotyped 201 patients for polymorphisms in 29 genes in the warfarin interactive pathways and tested them for association with dose requirement. In our study, polymorphisms in or flanking the genes VKORC1, CYP2C9, CYP2C18, CYP2C19, PROC, APOE, EPHX1, CALU, GGCX and ORM1-ORM2 and haplotypes of VKORC1, CYP2C9, CYP2C8, CYP2C19, PROC, F7, GGCX, PROZ, F9, NR1I2 and ORM1-ORM2 were associated with dose (P < 0.05). VKORC1, CYP2C9, CYP2C18 and CYP2C19 were significant after experiment-wise correction for multiple testing (P < 0.000175), however, the association of CYP2C18 and CYP2C19 was fully explained by linkage disequilibrium with CYP2C9*2 and/or *3. PROC and APOE were both significantly associated with dose after correction within each gene. A multiple regression model with VKORC1, CYP2C9, PROC and the non-genetic predictors age, bodyweight, drug interactions and indication for treatment jointly accounted for 62% of variance in warfarin dose. Weaker associations observed for other genes could explain up to ∼10% additional dose variance, but require testing and validation in an independent and larger data set. Translation of this knowledge into clinical guidelines for warfarin prescription will be likely to have a major impact on the safety and efficacy of warfarin.
publisher Springer-Verlag
publishDate 2006
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1797064/
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