ReviewClinical pharmacokinetics2008
Pharmacogenetics of oral anticoagulants: a basis for dose individualization.
Review in Clinical pharmacokinetics, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
42 citing papers in PubMed, 2 syntheses or guidelines pooled it, 111 citations in OpenAlex.
- Direct Oral Anticoagulants Versus Phenprocoumon: Mortality, Thromboembolism and Major Hemorrhage. A Systematic Review and Meta-Analysis of Routine Data Studies.Deutsches Arzteblatt international · 2026Pooled it
- Meta-analysis of Randomized Controlled Trials of Genotype-Guided vs Standard Dosing of Warfarin.Chest · 2015Pooled it
- Evaluation of a pharmacogenetic-based warfarin dosing algorithm in patients with low time in therapeutic range - study protocol for a randomized controlled trial.BMC cardiovascular disorders · 2016Trial
- Quantifying the effect of covariates on concentrations and effects of steady-state phenprocoumon using a population pharmacokinetic/pharmacodynamic model.Clinical pharmacokinetics · 2013Trial
- Trial
- Prediction of phenprocoumon maintenance dose and phenprocoumon plasma concentration by genetic and non-genetic parameters.European journal of clinical pharmacology · 2011Trial
- Enabling Personalized Dose Formulation by Evaporative Crystallization Process.Pharmaceutical research · 2026Article
- Anticoagulants beyond coagulation: a narrative review of cardiovascular effects.Cardiovascular research · 2026Review
- Synthesis of new coumarin derivatives and assessment of their antimicrobial efficacy.Future medicinal chemistry · 2025Article
- Stability of Anticoagulation Following Acenocoumarin in Stroke Patients: Role of Pharmacogenomics and Acquired Factors.Annals of Indian Academy of Neurology · 2024Article
- PROTHROMBIN COMPLEX CONCENTRATE IN EMERGENCY DEPARTMENT.Acta clinica Croatica · 2022Review
- Antiplatelet Activity of Coumarins: In Vitro Assays on COX-1.Molecules (Basel, Switzerland) · 2021Article
- Group-based pharmacogenetic prediction: is it feasible and do current NHS England ethnic classifications provide appropriate data?The pharmacogenomics journal · 2021Article
- Fungal endocarditis with heart valve replacement and atrial fibrillation posing a treatment challenge: A case report.Medicine · 2020Article
- Oral Anticoagulant Therapy-When Art Meets Science.Journal of clinical medicine · 2019Review
- Review
- Problems in anticoagulation of a patient with antibiotic treatment for endocarditis: interaction of rifampicin and vitamin K antagonists.BMJ case reports · 2018Article
- Warfarin treatment and antifungal agent caspofungin for severe fungal infection in a patient previously treated with radiotherapy for oropharyngeal cancer.Clinical case reports · 2016Article
- CYP2C9 genotype vs. metabolic phenotype for individual drug dosing--a correlation analysis using flurbiprofen as probe drug.PloS one · 2015Article
- Balancing ischaemia and bleeding risks with novel oral anticoagulants.Nature reviews. Cardiology · 2014Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Coumarin derivatives, including warfarin, acenocoumarol and phenprocoumon, are the drugs of choice for long-term treatment and prevention of thromboembolic events. The management of oral anticoagulation is challenging because of a large variability in the dose-response relationship, which is in part caused by genetic polymorphisms. The narrow therapeutic range may result in bleeding complications or recurrent thrombosis, especially during the initial phase of treatment. The aim of this review is to systematically extract the published data reporting pharmacogenetic influences on oral anticoagulant therapy and to provide empirical doses for individual genotype combinations. To this end, we extracted all data from clinical studies of warfarin, phenprocoumon and acenocoumarol that reported genetic influences on either the dose demand or adverse drug effects, such as bleeding complications. Data were summarized for each substance, and the relative effect of each relevant gene was calculated across studies, assuming a linear gene-dose effect in Caucasians. Cytochrome P450 (CYP) 2C9, which is the main enzyme for rate-limiting metabolism of oral anticoagulants, had the largest impact on the dose demand. Compared with homozygous carriers of CYP2C9*1, patients homozygous for CYP2C9*3 were estimated to need 3.3-fold lower mean doses of warfarin to achieve the same international normalized ratio, with *2 carriers and heterozygous patients in between. Differences for acenocoumarol and phenprocoumon were 2.5-fold and 1.5-fold, respectively. Homozygosity of the vitamin K epoxide reductase complex subunit 1 (VKORC1) variant C1173T (*2) allele (VKORC1 is the molecular target of anticoagulant action) was related to 2.4-fold, 1.6-fold and 1.9-fold lower dose requirements compared with the wild-type for warfarin, acenocoumarol and phenprocoumon, respectively. Compared with CYP2C9 and VKORC1 homozygous wild-type individuals, patients with polymorphisms in these genes also more often experience severe overanticoagulation. An empirical dose table, which may be useful as a basis for dose individualization, is presented for the combined CYP2C9/VKORC1 genotypes. Genetic polymorphism in further enzymes and structures involved in the effect of anticoagulants such as gamma-glutamylcarboxylase, glutathione S-transferase A1, microsomal epoxide hydrolase and apolipoprotein E appear to be of negligible importance.Despite the clear effects of CYP2C9 and VKORC1 variants, these polymorphisms explain less than half of the interindividual variability in the dose response to oral anticoagulants. Thus, while individuals at the extremes of the dose requirements are likely to benefit, the overall clinical merits of a genotype-adapted anticoagulant treatment regimen in the entire patient populations remain to be determined in further prospective clinical studies.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.