Evidence map›Paper›PMID 34650593›Full record

ArticleFrontiers in genetics2021

Clinical Implications of Combinatorial Pharmacogenomic Tests Based on Cytochrome P450 Variant Selection.

Michael Sayer, Ashley Duche, Trang Jenny Tran Nguyen, Michelle Le, Kunj Patel, Jacqueline Vu, Danny Pham, Brianne Vernick, Richard Beuttler, Don Roosan and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.9field-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

3 citing papers in PubMed, 12 citations in OpenAlex.

  1. Recombinant Technologies Facilitate Drug Metabolism, Pharmacokinetics, and General Biomedical Research.Drug metabolism and disposition: the biological fate of chemicals · 2023
    Review
  2. Artificial Intelligent Context-Aware Machine-Learning Tool to Detect Adverse Drug Events from Social Media Platforms.Journal of medical toxicology : official journal of the American College of Medical Toxicology · 2022
    Article
  3. 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

11 authors at 2 institutions in 1 country.

Michael SayerDepartment of Pharmacy Practice, Chapman University School of Pharmacy, Irvine, CA, United States.
Ashley DucheDepartment of Pharmacy Practice, Chapman University School of Pharmacy, Irvine, CA, United States.
Trang Jenny Tran NguyenDepartment of Pharmacy Practice, Chapman University School of Pharmacy, Irvine, CA, United States.
Michelle LeDepartment of Pharmacy Practice, Chapman University School of Pharmacy, Irvine, CA, United States.
Kunj PatelDepartment of Pharmacy Practice, Chapman University School of Pharmacy, Irvine, CA, United States.
Jacqueline VuDepartment of Pharmacy Practice, Chapman University School of Pharmacy, Irvine, CA, United States.
Danny PhamDepartment of Pharmacy Practice, Chapman University School of Pharmacy, Irvine, CA, United States.
Brianne VernickDepartment of Pharmacy Practice, Chapman University School of Pharmacy, Irvine, CA, United States.
Richard BeuttlerDepartment of Pharmacy Practice, Chapman University School of Pharmacy, Irvine, CA, United States.
Don RoosanCollege of Pharmacy, Western University of Health Sciences, Pomona, CA, United States.
Moom R RoosanDepartment of Pharmacy Practice, Chapman University School of Pharmacy, Irvine, CA, United States.
Chapman University · USWestern University of Health Sciences · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite the potential to improve patient outcomes, the application of pharmacogenomics (PGx) is yet to be routine. A growing number of PGx implementers are leaning toward using combinatorial PGx (CPGx) tests (i.e., multigene tests) that are reusable over patients' lifetimes. However, selecting a single best available CPGx test is challenging owing to many patient- and population-specific factors, including variant frequency differences across ethnic groups. The primary objective of this study was to evaluate the detection rate of currently available CPGx tests based on the cytochrome P450 (CYP) gene variants they target. The detection rate was defined as the percentage of a given population with an "altered metabolizer" genotype predicted phenotype, where a CPGx test targeted both gene variants a prospective diplotypes. A potential genotype predicted phenotype was considered an altered metabolizer when it resulted in medication therapy modification based on Clinical Pharmacogenetics Implementation Consortium (CPIC) guidelines. Targeted variant CPGx tests found in the Genetic Testing Registry (GTR), gene selection information, and diplotype frequency data from the Pharmacogenomics Knowledge Base (PharmGKB) were used to determine the detection rate of each CPGx test. Our results indicated that the detection rate of CPGx tests covering CYP2C19, CYP2C9, CYP2D6, and CYP2B6 show significant variation across ethnic groups. Specifically, the Sub-Saharan Africans have 63.9% and 77.9% average detection rates for CYP2B6 and CYP2C19 assays analyzed, respectively. In addition, East Asians (EAs) have an average detection rate of 55.1% for CYP2C9 assays. Therefore, the patient's ethnic background should be carefully considered in selecting CPGx tests.

Indexed as

cytochrome P450 enzymesdetection ratepharmacogenomicspharmacogenomic testsvariant selection

Identifiers

PMID34650593
PMCPMC8506148
OpenAlexW3204631697

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.