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A multi-factorial analysis of response to warfarin in a UK prospective cohort
BACKGROUND: Warfarin is the most widely used oral anticoagulant worldwide, but it has a narrow therapeutic index which necessitates constant monitoring of anticoagulation response. Previous genome-wide studies have focused on identifying factors explaining variance in stable dose, but have not explo...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4702374/ https://www.ncbi.nlm.nih.gov/pubmed/26739746 http://dx.doi.org/10.1186/s13073-015-0255-y |
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author | Bourgeois, Stephane Jorgensen, Andrea Zhang, Eunice J. Hanson, Anita Gillman, Matthew S. Bumpstead, Suzannah Toh, Cheng Hock Williamson, Paula Daly, Ann K. Kamali, Farhad Deloukas, Panos Pirmohamed, Munir |
author_facet | Bourgeois, Stephane Jorgensen, Andrea Zhang, Eunice J. Hanson, Anita Gillman, Matthew S. Bumpstead, Suzannah Toh, Cheng Hock Williamson, Paula Daly, Ann K. Kamali, Farhad Deloukas, Panos Pirmohamed, Munir |
author_sort | Bourgeois, Stephane |
collection | PubMed |
description | BACKGROUND: Warfarin is the most widely used oral anticoagulant worldwide, but it has a narrow therapeutic index which necessitates constant monitoring of anticoagulation response. Previous genome-wide studies have focused on identifying factors explaining variance in stable dose, but have not explored the initial patient response to warfarin, and a wider range of clinical and biochemical factors affecting both initial and stable dosing with warfarin. METHODS: A prospective cohort of 711 patients starting warfarin was followed up for 6 months with analyses focusing on both non-genetic and genetic factors. The outcome measures used were mean weekly warfarin dose (MWD), stable mean weekly dose (SMWD) and international normalised ratio (INR) > 4 during the first week. Samples were genotyped on the Illumina Human610-Quad chip. Statistical analyses were performed using Plink and R. RESULTS: VKORC1 and CYP2C9 were the major genetic determinants of warfarin MWD and SMWD, with CYP4F2 having a smaller effect. Age, height, weight, cigarette smoking and interacting medications accounted for less than 20 % of the variance. Our multifactorial analysis explained 57.89 % and 56.97 % of the variation for MWD and SMWD, respectively. Genotypes for VKORC1 and CYP2C9*3, age, height and weight, as well as other clinical factors such as alcohol consumption, loading dose and concomitant drugs were important for the initial INR response to warfarin. In a small subset of patients for whom data were available, levels of the coagulation factors VII and IX (highly correlated) also played a role. CONCLUSION: Our multifactorial analysis in a prospectively recruited cohort has shown that multiple factors, genetic and clinical, are important in determining the response to warfarin. VKORC1 and CYP2C9 genetic polymorphisms are the most important determinants of warfarin dosing, and it is highly unlikely that other common variants of clinical importance influencing warfarin dosage will be found. Both VKORC1 and CYP2C9*3 are important determinants of the initial INR response to warfarin. Other novel variants, which did not reach genome-wide significance, were identified for the different outcome measures, but need replication. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13073-015-0255-y) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4702374 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-47023742016-01-07 A multi-factorial analysis of response to warfarin in a UK prospective cohort Bourgeois, Stephane Jorgensen, Andrea Zhang, Eunice J. Hanson, Anita Gillman, Matthew S. Bumpstead, Suzannah Toh, Cheng Hock Williamson, Paula Daly, Ann K. Kamali, Farhad Deloukas, Panos Pirmohamed, Munir Genome Med Research BACKGROUND: Warfarin is the most widely used oral anticoagulant worldwide, but it has a narrow therapeutic index which necessitates constant monitoring of anticoagulation response. Previous genome-wide studies have focused on identifying factors explaining variance in stable dose, but have not explored the initial patient response to warfarin, and a wider range of clinical and biochemical factors affecting both initial and stable dosing with warfarin. METHODS: A prospective cohort of 711 patients starting warfarin was followed up for 6 months with analyses focusing on both non-genetic and genetic factors. The outcome measures used were mean weekly warfarin dose (MWD), stable mean weekly dose (SMWD) and international normalised ratio (INR) > 4 during the first week. Samples were genotyped on the Illumina Human610-Quad chip. Statistical analyses were performed using Plink and R. RESULTS: VKORC1 and CYP2C9 were the major genetic determinants of warfarin MWD and SMWD, with CYP4F2 having a smaller effect. Age, height, weight, cigarette smoking and interacting medications accounted for less than 20 % of the variance. Our multifactorial analysis explained 57.89 % and 56.97 % of the variation for MWD and SMWD, respectively. Genotypes for VKORC1 and CYP2C9*3, age, height and weight, as well as other clinical factors such as alcohol consumption, loading dose and concomitant drugs were important for the initial INR response to warfarin. In a small subset of patients for whom data were available, levels of the coagulation factors VII and IX (highly correlated) also played a role. CONCLUSION: Our multifactorial analysis in a prospectively recruited cohort has shown that multiple factors, genetic and clinical, are important in determining the response to warfarin. VKORC1 and CYP2C9 genetic polymorphisms are the most important determinants of warfarin dosing, and it is highly unlikely that other common variants of clinical importance influencing warfarin dosage will be found. Both VKORC1 and CYP2C9*3 are important determinants of the initial INR response to warfarin. Other novel variants, which did not reach genome-wide significance, were identified for the different outcome measures, but need replication. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13073-015-0255-y) contains supplementary material, which is available to authorized users. BioMed Central 2016-01-06 /pmc/articles/PMC4702374/ /pubmed/26739746 http://dx.doi.org/10.1186/s13073-015-0255-y Text en © Bourgeois et al. 2015 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Bourgeois, Stephane Jorgensen, Andrea Zhang, Eunice J. Hanson, Anita Gillman, Matthew S. Bumpstead, Suzannah Toh, Cheng Hock Williamson, Paula Daly, Ann K. Kamali, Farhad Deloukas, Panos Pirmohamed, Munir A multi-factorial analysis of response to warfarin in a UK prospective cohort |
title | A multi-factorial analysis of response to warfarin in a UK prospective cohort |
title_full | A multi-factorial analysis of response to warfarin in a UK prospective cohort |
title_fullStr | A multi-factorial analysis of response to warfarin in a UK prospective cohort |
title_full_unstemmed | A multi-factorial analysis of response to warfarin in a UK prospective cohort |
title_short | A multi-factorial analysis of response to warfarin in a UK prospective cohort |
title_sort | multi-factorial analysis of response to warfarin in a uk prospective cohort |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4702374/ https://www.ncbi.nlm.nih.gov/pubmed/26739746 http://dx.doi.org/10.1186/s13073-015-0255-y |
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