Evidence map›Paper›PMID 30653102›Full record

ArticleMedicine2019

Coverage rate of ADME genes from commercial sequencing arrays.

Nabil Zaid, Youness Limami, Nezha Senhaji, Nadia Errafiy, Loubna Khalki, Youssef Bakri, Younes Zaid, Saaid Amzazi

Abstract readComparative Study
In one paragraph

Article in Medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Genophenotypic Factors and Pharmacogenomics in Adverse Drug Reactions.International journal of molecular sciences · 2021
    Review
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

8 authors.

Nabil ZaidFaculty of Sciences, Mohammed V University, Rabat.
Youness LimamiResearch Center, Abulcasis University of Health Sciences, Rabat.
Nezha SenhajiFaculty of Medicine and Pharmacy of Casablanca, Laboratory of Genetics and Molecular pathologies, Hassan II University.
Nadia ErrafiyMohammed VI University of Health Sciences (UM6SS), Casablanca.
Loubna KhalkiMohammed VI University of Health Sciences (UM6SS), Casablanca.
Youssef BakriFaculty of Sciences, Laboratory of Biology of Human Pathology, Center of Genomics of Human Pathologies, Mohammed V University, Rabat, Morocco.
Younes ZaidResearch Center, Abulcasis University of Health Sciences, Rabat.
Saaid AmzaziFaculty of Sciences, Mohammed V University, Rabat.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pharmacogenomics offers remarkable potential for the rapid translation of discoveries into changes in clinical practice. In the present work, we are interested in evaluating the ability of commercially available genome-wide association sequencing chips to cover genes that have high pharmacogenomics potential.We used a set of 2794 variations within 369 absorption, distribution, metabolism, and elimination (ADME) genes of interest, as previously defined in collaboration with the Pharma ADME consortium. We have compared the Illumina TrueSeq and both Agilent SureSelect and HaloPlex sequencing technologies. We have developed Python scripts to evaluate the coverage for each of these products. In particular, we considered a specific list of 155 allelic variants in 34 genes which present high pharmacogenomics potential. Both the theoretical and practical coverage was assessed.Given the need to have a good coverage to establish confidently the functionality of an enzyme, the observed rates are unlikely to provide sufficient evidence for pharmacogenomics studies. We assessed the coverage using enrichment technology for exome sequencing using the Illumina Trueseq exome, Agilent SureSelectXT1 V4 and V5, and Haloplex exome, which offer a coverage of 96.12%, 91.61%, and 88.38%, respectively.Although pharmacogenomic advances had been limited in the past due in part to the lack of coverage of commercial genotyping chips, it is anticipated that future studies that make use of new sequencing technologies should offer a greater potential for discovery.

Indexed as

ExomeGenome-Wide Association StudyGenotyping TechniquesHumansPharmacogeneticsQuality ImprovementSequence Analysis, DNATechnology Transfer

Identifiers

PMID30653102
PMCPMC6370070

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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.