Evidence map›Paper›PMID 26503815›Full record

ArticleThe pharmacogenomics journal2016

Pharmacogenetic comparison of CYP2D6 predictive and measured phenotypes in a South African cohort.

T M Dodgen, C De J Labuschagne, A van Schalkwyk, F E Steffens, A Gaedigk, A D Cromarty, M Alessandrini, M S Pepper

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In one paragraph

Article in The pharmacogenomics journal, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.0field-weighted citation impact, top 15% 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

7 citing papers in PubMed, 13 citations in OpenAlex.

  1. Review
  2. Review
  3. Genetic Variation ofFrontiers in pharmacology · 2021
    Article
  4. Article
  5. Article
  6. Evaluation of CYP2D6 phenotype in the Yoruba Nigerian population.Expert review of clinical pharmacology · 2017
    Article
  7. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 3 countries.

T M DodgenDepartment of Pharmacology, University of Pretoria, Pretoria, South Africa.
C De J LabuschagneInqaba Biotechnical Industries, Pretoria, South Africa.
A van SchalkwykDepartment of Immunology and Institute for Cellular and Molecular Medicine, University of Pretoria, Pretoria, South Africa.
F E SteffensInqaba Biotechnical Industries, Pretoria, South Africa.
A GaedigkDepartment of Statistics, University of Pretoria, Pretoria, South Africa.
A D CromartyDepartment of Pharmacology, University of Pretoria, Pretoria, South Africa.
M AlessandriniDivision of Clinical Pharmacology, Toxicology & Innovative Therapeutics, Children's Mercy, and School of Medicine, University of Missouri-Kansas City, Kansas City, MO, USA.
M S PepperDivision of Clinical Pharmacology, Toxicology & Innovative Therapeutics, Children's Mercy, and School of Medicine, University of Missouri-Kansas City, Kansas City, MO, USA.
University of Pretoria · ZAInqaba Biotechnical IndustriesUniversity of Missouri–Kansas City · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The relationship between genetic variation in CYP2D6 and variable drug response represents a potentially powerful pharmacogenetic tool. However, little is known regarding this relationship in the genetically diverse South African population. The aim was therefore to evaluate the relationship between predicted and measured CYP2D6 phenotype. An XL-PCR+Sequencing approach was used to determine CYP2D6 genotype in 100 healthy volunteers and phenotype was predicted using activity scores. With dextromethorphan as the probe drug, metabolic ratios served as a surrogate measure of in vivo CYP2D6 activity. Three-hour plasma metabolic ratios of dextrorphan/dextromethorphan were measured simultaneously using semi-automated online solid phase extraction coupled with tandem mass spectrometry. Partial adaptation of the activity score system demonstrated a strong association between genotype and phenotype, as illustrated by a kappa value of 0.792, inter-rater discrepancy of 0.051 and sensitivity of 72.7%. Predicted phenotype frequencies using the modified activity score were 1.3% for poor metabolisers (PM), 7.6% for intermediate metabolisers (IM) and 87.3% for extensive metabolisers (EM). Measured phenotype frequencies were 1.3% for PM, 13.9% for IM and 84.8% for EM. Comprehensive CYP2D6 genotyping reliably predicts CYP2D6 activity in this South African cohort and can be utilised as a valuable pharmacogenetic tool.

Indexed as

PharmacogeneticsPharmacogenomic VariantsPolymorphism, Single NucleotideAdultAsian PeopleBiotransformationBlack PeopleCohort StudiesCytochrome P-450 CYP2D6DextromethorphanDextrorphanFemaleGene FrequencyHealthy VolunteersHumansMaleCytochrome P-450 CYP2D6DextromethorphanDextrorphan

Identifiers

PMID26503815
OpenAlexW1882861259

What OpenQuestion holds

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Read underepoch 390

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.