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The Population Attributable Fraction as a Measure of the Impact of Warfarin Pharmacogenetic Testing

Authors: Chan, S.L.; Suo, C.; Chia, K.S.; Teo, Y.Y.;

The Population Attributable Fraction as a Measure of the Impact of Warfarin Pharmacogenetic Testing

Abstract

We aimed to estimate the population impact of warfarin pharmacogenetic testing (WPGT) across multiple populations.We used the expanded International Warfarin Pharmacogenetics Consortium data set and genotype frequencies from HapMap to simulate dose distributions for each CYP2C9/VKORC1 genotype combination in the different races, and calculated the population attributable fraction as a measure of population impact of WPGT. WPGT was compared to both clinical and fixed-dose algorithms to estimate the benefits of WPGT.Our dose simulation revealed different dose requirements in difference races and considerable overlap in dose distributions of different genotype combinations. Population attributable fraction calculations suggest that complete implementation of WPGT can reduce inaccurate dosing by 18-24% in white individuals. However black, Japanese and Chinese patients do not benefit from WPGT, especially when compared against a race-specific fixed dose.Our findings support WPGT in white individuals but not in black, Japanese and Chinese individuals.

Country
Singapore
Keywords

330, Genotype, Black People, HapMap Project, White People, Mixed Function Oxygenases, Asian People, Vitamin K Epoxide Reductases, 617, Humans, Blood Coagulation, Cytochrome P-450 CYP2C9, pharmacogenomics, pharmacogenetic testing, Dose-Response Relationship, Drug, Anticoagulants, warfarin, Black or African American, Genetics, Population, Pharmacogenetics, Aryl Hydrocarbon Hydroxylases, Warfarin, population attributable fraction

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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
8
Average
Average
Top 10%
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