Literature DB >> 22409277

An evaluation of gene-gene interaction between the CYP2C9 and VKORC1 genotypes affecting the anticoagulant effect of phenprocoumon and acenocoumarol.

R M F van Schie1, A M V Babajeff, T Schalekamp, J A M Wessels, S le Cessie, A de Boer, F J M van der Meer, E van Meegen, T I Verhoef, F R Rosendaal, A H Maitland-van der Zee.   

Abstract

BACKGROUND: Previous studies have provided contradictory results regarding the interaction between the CYP2C9 and VKORC1 genotypes affecting various outcome measures.
OBJECTIVES: We aimed to provide a definite answer regarding the question whether there exists a gene-gene interaction between the CYP2C9 and VKORC1 genotypes affecting the anticoagulant effect of phenprocoumon and acenocoumarol. PATIENTS/
METHODS: The EU-PACT cohort dataset, which contains data on 624 phenprocoumon and 471 acenocoumarol patients, was used. Patient characteristics, pharmacogenetic data, International Normalized Ratios (INRs) and dosages were available. We investigated whether there was an interaction between the CYP2C9 and VKORC1 genotypes affecting the maintenance dose, time to severe over-anticoagulation and time to achieve stability during the first 180 days of phenprocoumon and acenocoumarol therapy, in addition to the effect of the separate genotypes. The interaction effect was investigated by adding the product term of the CYP2C9 and VKORC1 genotype classes for four different commonly used CYP2C9 classifications to the linear regression model - for the outcome measure maintenance dose - or to the Cox regression models - for the outcome measures time to severe over-anticoagulation and time to achieve stability.
RESULTS: No significant interactions - all P-values above 0.23 for phenprocoumon and 0.30 for acenocoumarol - were observed for all outcome measures.
CONCLUSIONS: There are no interactions between the CYP2C9 and VKORC1 genotypes affecting the maintenance dose, time to severe over-anticoagulation and time to achieve stability for phenprocoumon and acenocoumarol.
© 2012 International Society on Thrombosis and Haemostasis.

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Year:  2012        PMID: 22409277     DOI: 10.1111/j.1538-7836.2012.04694.x

Source DB:  PubMed          Journal:  J Thromb Haemost        ISSN: 1538-7836            Impact factor:   5.824


  4 in total

1.  Linkage disequilibrium between the CYP2C19*2,*17 and CYP2C9*1 alleles and impact of VKORC1, CYP2C9, CYP2C19 gene polymorphisms and gene-gene interactions on warfarin therapy.

Authors:  Koroush Khalighi; Gang Cheng; Seyedabbas Mirabbasi; Bahar Khalighi; Yin Wu; Wuqiang Fan
Journal:  J Thromb Thrombolysis       Date:  2017-01       Impact factor: 2.300

2.  An acenocoumarol dosing algorithm exploiting clinical and genetic factors in South Indian (Dravidian) population.

Authors:  Dhakchinamoorthi Krishna Kumar; Deepak Gopal Shewade; Marie-Anne Loriot; Philippe Beaune; B V Sai Chandran; Jayaraman Balachander; Chandrasekaran Adithan
Journal:  Eur J Clin Pharmacol       Date:  2014-12-19       Impact factor: 2.953

3.  Analysis of gene-gene interactions using gene-trait similarity regression.

Authors:  Xin Wang; Michael P Epstein; Jung-Ying Tzeng
Journal:  Hum Hered       Date:  2014-06-21       Impact factor: 0.444

4.  Phenprocoumon Dose Requirements, Dose Stability and Time in Therapeutic Range in Elderly Patients With CYP2C9 and VKORC1 Polymorphisms.

Authors:  Katharina Luise Schneider; Melanie Kunst; Ann-Kristin Leuchs; Miriam Böhme; Klaus Weckbecker; Kathrin Kastenmüller; Markus Bleckwenn; Stefan Holdenrieder; Christoph Coch; Gunther Hartmann; Julia Carolin Stingl
Journal:  Front Pharmacol       Date:  2020-01-28       Impact factor: 5.810

  4 in total

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