ArticleGenome medicine2016
A multi-factorial analysis of response to warfarin in a UK prospective cohort.
Article in Genome medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.
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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.
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Who cites it
23 citing papers in PubMed, 1 synthesis or guideline pooled it, 65 citations in OpenAlex.
- Effect of CYP4F2, VKORC1, and CYP2C9 in Influencing Coumarin Dose: A Single-Patient Data Meta-Analysis in More Than 15,000 Individuals.Clinical pharmacology and therapeutics · 2019Pooled it
- Implementation of genotype-guided dosing of warfarin with point-of-care genetic testing in three UK clinics: a matched cohort study.BMC medicine · 2019Trial
- Phenotyping of CYP 4501A2 Activity by Total Overnight Salivary Caffeine Assessment (TOSCA) in Patients on Warfarin Treatment: A Cross-Sectional Study.Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis · 2018Trial
- Implementation of pre-emptive testing of a pharmacogenomic panel in clinical practice: Where do we stand?British journal of clinical pharmacology · 2025Review
- The impact ofFrontiers in pharmacology · 2025Article
- Association between gene polymorphisms and initial warfarin therapy in patients after heart valve surgery.Pharmacological reports : PR · 2024Article
- Effects of pharmacogenetic profiles on pediatric pain relief and adverse events with ibuprofen and oxycodone.Pain reports · 2023Article
- Antithrombin, Protein C, and Protein S: Genome and Transcriptome-Wide Association Studies Identify 7 Novel Loci Regulating Plasma Levels.Arteriosclerosis, thrombosis, and vascular biology · 2023Article
- Pharmacogenomics: current status and future perspectives.Nature reviews. Genetics · 2023Review
- Cardiovascular precision medicine - A pharmacogenomic perspective.Cambridge prisms. Precision medicine · 2023Review
- Nonlinear Machine Learning in Warfarin Dose Prediction: Insights from Contemporary Modelling Studies.Journal of personalized medicine · 2022Article
- The role of pharmacogenomics in contemporary cardiovascular therapy: a position statement from the European Society of Cardiology Working Group on Cardiovascular Pharmacotherapy.European heart journal. Cardiovascular pharmacotherapy · 2022Article
- Pharmacogenomics for Primary Care: An Overview.Genes · 2020Review
- Algorithm for predicting low maintenance doses of warfarin using age and polymorphisms in genes CYP2C9 and VKORC1 in Brazilian subjects.The pharmacogenomics journal · 2020Article
- Pharmacogenetic-Guided Algorithm to Improve Daily Dose of Warfarin in Elder Han-Chinese Population.Frontiers in pharmacology · 2020Article
- Considerations for Implementing Precision Therapeutics for Children.Clinical and translational science · 2019Article
- Pharmacogenomic Testing In Pediatrics: Navigating The Ethical, Social, And Legal Challenges.Pharmacogenomics and personalized medicine · 2019Article
- Warfarin: The End or the End of One Size Fits All Therapy?Journal of personalized medicine · 2018Review
- Biomarkers of adverse drug reactions.Experimental biology and medicine (Maywood, N.J.) · 2018Review
- Ensembl variation resources.Database : the journal of biological databases and curation · 2018Article
Corrections and comments
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Authors and funding
12 authors at 4 institutions in 1 country.
Funding
Abstract
backgroundWarfarin 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.
methodsA 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.
resultsVKORC1 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.
conclusionOur 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.
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