Evidence map›Paper›PMID 34263311›Full record

ArticleThe journal of applied laboratory medicine2021

Validation of a Large Custom-Designed Pharmacogenomics Panel on an Array Genotyping Platform.

Nga Yeung Tang, Xun Pei, David George, Larry House, Keith Danahey, Elizabeth Lipschultz, Mark J Ratain, Peter H O'Donnell, Kiang-Teck J Yeo, Xander M R van Wijk

Open access · bronzeAbstract read
In one paragraph

Article in The journal of applied laboratory medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed, 13 citations in OpenAlex.

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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

10 authors at 1 institution in 1 country.

Nga Yeung TangDepartment of Pathology, Advanced Technology Clinical Laboratory, The University of Chicago, Chicago, IL.
Xun PeiDepartment of Pathology, Advanced Technology Clinical Laboratory, The University of Chicago, Chicago, IL.
David GeorgeDepartment of Pathology, Advanced Technology Clinical Laboratory, The University of Chicago, Chicago, IL.
Larry HouseDepartment of Pathology, Advanced Technology Clinical Laboratory, The University of Chicago, Chicago, IL.
Keith DanaheyCenter for Personalized Therapeutics, The University of Chicago, Chicago, IL.
Elizabeth LipschultzCenter for Personalized Therapeutics, The University of Chicago, Chicago, IL.
Mark J RatainCenter for Personalized Therapeutics, The University of Chicago, Chicago, IL.
Peter H O'DonnellCenter for Personalized Therapeutics, The University of Chicago, Chicago, IL.
Kiang-Teck J YeoDepartment of Pathology, Advanced Technology Clinical Laboratory, The University of Chicago, Chicago, IL.
Xander M R van WijkDepartment of Pathology, Advanced Technology Clinical Laboratory, The University of Chicago, Chicago, IL.
University of Chicago · US

Funding

African American Cardiovascular pharmacogenetic CONsorTium (ACCOuNT): discovery and translationU54MD010723 · NIMHD · NORTHWESTERN UNIVERSITY AT CHICAGO · PI MELTZER, DAVID O, PERERA, MINOLI A · 2016 to 2020
$9.5M
Resources and DisseminationP30AG066619 · NIA · UNIVERSITY OF CHICAGO · PI EMILY J ROGALSKI · 2020 to 2026
$6.8M
Implementation of Point-of-Care Pharmacogenomic Decision Support in Perioperative Care - Resubmission 01R01HG009938 · NHGRI · UNIVERSITY OF CHICAGO · PI O'DONNELL, PETER HUGH · 2018 to 2022
$4.0M
NHGRI NIH HHS 1R01HG009938-01A1NHGRI NIH HHS R01 HG009938NIA NIH HHS 1P30 AG066619NIA NIH HHS P30 AG066619NIH HHS 1U54 MD010723-01NIMHD NIH HHS U54 MD010723
6 · The paper itself

Abstract

backgroundPharmacogenomics has the potential to improve patient outcomes through predicting drug response. We designed and evaluated the analytical performance of a custom OpenArray® pharmacogenomics panel targeting 478 single-nucleotide variants (SNVs).

methodsForty Coriell Institute cell line (CCL) DNA samples and DNA isolated from 28 whole-blood samples were used for accuracy evaluation. Genotyping calls were compared to at least 1 reference method: next-generation sequencing, Sequenom MassARRAY®, or Sanger sequencing. For precision evaluation, 23 CCL samples were analyzed 3 times and reproducibility of the assays was assessed. For sensitivity evaluation, 6 CCL samples and 5 whole-blood DNA samples were analyzed at DNA concentrations of 10 ng/µL and 50 ng/µL, and their reproducibility and genotyping call rates were compared.

resultsFor 443 variants, all samples assayed had concordant calls with at least 1 reference genotype and also demonstrated reproducibility. However, 6 of these 443 variants showed an unsatisfactory performance, such as low PCR amplification or insufficient separation of genotypes in scatter plots. Call rates were comparable between 50 ng/µL DNA (99.6%) and 10 ng/µL (99.2%). Use of 10 ng/µL DNA resulted in an incorrect call for a single sample for a single variant. Thus, as recommended by the manufacturer, 50 ng/µL is the preferred concentration for patient genotyping.

conclusionsWe evaluated a custom-designed pharmacogenomics panel and found that it reliably interrogated 437 variants. Clinically actionable results from selected variants on this panel are currently used in clinical studies employing pharmacogenomics for clinical decision-making.

Indexed as

PharmacogeneticsPolymorphism, Single NucleotideGenotypeHigh-Throughput Nucleotide SequencingHumansReproducibility of ResultsOpenArrayPGxpharmacogenomicsSNV genotypingvalidation

Identifiers

PMID34263311
PMCPMC8561785
OpenAlexW3178094080

What OpenQuestion holds

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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.