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Pharmacogenetic testing revisited: 5′nuclease real-time polymerase chain reaction test panels for genotyping CYP2D6 and CYP2C19

Overview of attention for article published in Pharmacogenomics and Personalized Medicine, April 2017
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Title
Pharmacogenetic testing revisited: 5′nuclease real-time polymerase chain reaction test panels for genotyping CYP2D6 and CYP2C19
Published in
Pharmacogenomics and Personalized Medicine, April 2017
DOI 10.2147/pgpm.s131580
Pubmed ID
Authors

Jens Borggaard Larsen, Jan Borg Rasmussen

Abstract

Due to their involvement in the metabolization of commonly prescribed psychopharmaceutical drugs, the cytochrome oxidase genes CYP2D6 and CYP2C19 are extensive targets for pharmacogenetic testing. The existence of common allelic variants allows the prediction of a metabolic phenotype based on a genotype result, hereby supplying a clinical tool for optimizing prescription and minimizing adverse effects. In this study, we present the development of two 5' nuclease real-time polymerase chain reaction (PCR) test panels, capable of detecting eight of the most clinically relevant alleles of the CYP2D6 gene (*2, *3, *4, *6, *9, *10, 17, *41) and the three most common nonfunctional alleles of CYP2C19 (*2, *3, *4). The assays have been thoroughly validated using a large collection of reference samples, by parallel testing and by DNA sequencing. The reanalysis of reference samples provided the calculation of the frequency of the CYP2D6*4K allele in a population, not previously reported. Furthermore, original test results from CYP2D6*41, generated based on the presence of the 2850T and the lack of the -1584G single-nucleotide polymorphism (SNP), were compared with genotyping based on the current acknowledged founder SNP 2988G of this allele. These results indicate that up to 17.7% of the patients originally tested as carriers of the CYP2D6*41 allele may have had an incorrect phenotypic result assigned. The two 5' nuclease real-time PCR test panels have subsequently been optimized for use in the clinical laboratory, using a standard real-time PCR instrument and software.

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Mendeley readers

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Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 7 29%
Student > Master 4 17%
Student > Ph. D. Student 3 13%
Other 2 8%
Professor 1 4%
Other 3 13%
Unknown 4 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 12 50%
Agricultural and Biological Sciences 4 17%
Pharmacology, Toxicology and Pharmaceutical Science 2 8%
Arts and Humanities 1 4%
Immunology and Microbiology 1 4%
Other 0 0%
Unknown 4 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 22 April 2017.
All research outputs
#20,964,263
of 25,748,735 outputs
Outputs from Pharmacogenomics and Personalized Medicine
#1
of 1 outputs
Outputs of similar age
#250,651
of 324,933 outputs
Outputs of similar age from Pharmacogenomics and Personalized Medicine
#1
of 1 outputs
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