Evidence map›Paper›PMID 26739746›Full record

ArticleGenome medicine2016

A multi-factorial analysis of response to warfarin in a UK prospective cohort.

Stephane Bourgeois, Andrea Jorgensen, Eunice J Zhang, Anita Hanson, Matthew S Gillman, Suzannah Bumpstead, Cheng Hock Toh, Paula Williamson, Ann K Daly, Farhad Kamali and 2 more

Open access · goldAbstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
10.2field-weighted citation impact, top 2% of its field
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

23 citing papers in PubMed, 1 synthesis or guideline pooled it, 65 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. 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 · 2018
    Trial
  4. Review
  5. The impact ofFrontiers in pharmacology · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Cardiovascular precision medicine - A pharmacogenomic perspective.Cambridge prisms. Precision medicine · 2023
    Review
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Warfarin: The End or the End of One Size Fits All Therapy?Journal of personalized medicine · 2018
    Review
  19. Biomarkers of adverse drug reactions.Experimental biology and medicine (Maywood, N.J.) · 2018
    Review
  20. Ensembl variation resources.Database : the journal of biological databases and curation · 2018
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 4 institutions in 1 country.

Stephane BourgeoisWellcome Trust Sanger Institute, Genome Campus, Hinxton, Cambridgeshire, CB10 1SA, UK. s.bourgeois@qmul.ac.uk.
Andrea JorgensenUniversity of Liverpool, Liverpool, Merseyside, L69 3GE, UK. A.L.Jorgensen@liverpool.ac.uk.
Eunice J ZhangUniversity of Liverpool, Liverpool, Merseyside, L69 3GE, UK. Eunice.Zhang@liverpool.ac.uk.
Anita HansonUniversity of Liverpool, Liverpool, Merseyside, L69 3GE, UK. Anita.Hanson@liverpool.ac.uk.
Matthew S GillmanWellcome Trust Sanger Institute, Genome Campus, Hinxton, Cambridgeshire, CB10 1SA, UK. mg@physics.org.
Suzannah BumpsteadWellcome Trust Sanger Institute, Genome Campus, Hinxton, Cambridgeshire, CB10 1SA, UK. sjb@sanger.ac.uk.
Cheng Hock TohUniversity of Liverpool, Liverpool, Merseyside, L69 3GE, UK. C.H.Toh@liverpool.ac.uk.
Paula WilliamsonUniversity of Liverpool, Liverpool, Merseyside, L69 3GE, UK. P.R.Williamson@liverpool.ac.uk.
Ann K DalyNewcastle University, Newcastle upon Tyne, UK. a.k.daly@newcastle.ac.uk.
Farhad KamaliNewcastle University, Newcastle upon Tyne, UK. farhad.kamali@newcastle.ac.uk.
Panos DeloukasWellcome Trust Sanger Institute, Genome Campus, Hinxton, Cambridgeshire, CB10 1SA, UK. p.deloukas@qmul.ac.uk.
Munir PirmohamedUniversity of Liverpool, Liverpool, Merseyside, L69 3GE, UK. munirp@liverpool.ac.uk.
University of Liverpool · GBWellcome Sanger Institute · GBNewcastle University · GBRoyal Liverpool University Hospital · GB

Funding

British Heart Foundation RG/14/5/30893Department of HealthMedical Research Council G0700654Wellcome Trust
6 · The paper itself

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.

Indexed as

AdultAgedAged, 80 and overAnticoagulantsCytochrome P-450 CYP2C9Cytochrome P-450 Enzyme SystemCytochrome P450 Family 4Dose-Response Relationship, DrugFemaleFollow-Up StudiesGenotypeHumansInternational Normalized RatioMaleMiddle AgedPolymorphism, Single NucleotideAnticoagulantsCYP2C9 protein, humanCYP4F2 protein, humanCytochrome P-450 CYP2C9Cytochrome P-450 Enzyme SystemCytochrome P450 Family 4Vitamin K Epoxide ReductasesVKORC1 protein, humanWarfarin

Identifiers

PMID26739746
PMCPMC4702374
OpenAlexW2229752814

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.