Evidence map›Paper›PMID 37108493›Full record

ArticleInternational journal of molecular sciences2023

Evaluating the Transition from Targeted to Exome Sequencing: A Guide for Clinical Laboratories.

Kevin Yauy, Charles Van Goethem, Henri Pégeot, David Baux, Thomas Guignard, Corinne Thèze, Olivier Ardouin, Anne-Françoise Roux, Michel Koenig, Anne Bergougnoux and 1 more

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2023. 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. 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.

Kevin YauyLaboratoire de Génétique Moléculaire, LGM, Centre Hospitalier Universitaire de Montpellier, IURC-Institut Universitaire de Recherche Clinique, 641 Avenue du Doyen G. Giraud, 34090 Montpellier, France.
Charles Van GoethemLaboratoire de Génétique Moléculaire, LGM, Centre Hospitalier Universitaire de Montpellier, IURC-Institut Universitaire de Recherche Clinique, 641 Avenue du Doyen G. Giraud, 34090 Montpellier, France.ORCID 0000-0002-8769-5719
Henri PégeotLaboratoire de Génétique Moléculaire, LGM, Centre Hospitalier Universitaire de Montpellier, IURC-Institut Universitaire de Recherche Clinique, 641 Avenue du Doyen G. Giraud, 34090 Montpellier, France.
David BauxLaboratoire de Génétique Moléculaire, LGM, Centre Hospitalier Universitaire de Montpellier, IURC-Institut Universitaire de Recherche Clinique, 641 Avenue du Doyen G. Giraud, 34090 Montpellier, France.ORCID 0000-0003-3423-1221
Thomas GuignardUnité de Génétique Chromosomique, Département de Génétique Médicale, Maladies Rares et Médecine Personnalisée, Hôpital Arnaud de Villeneuve, CHU de Montpellier, 371 Av. du Doyen Gaston Giraud, 34090 Montpellier, France.
Corinne ThèzeLaboratoire de Génétique Moléculaire, LGM, Centre Hospitalier Universitaire de Montpellier, IURC-Institut Universitaire de Recherche Clinique, 641 Avenue du Doyen G. Giraud, 34090 Montpellier, France.
Olivier ArdouinPlateau de Médecine Moléculaire et Génomique, Hôpital Arnaud de Villeneuve, CHU de Montpellier, 34090 Montpellier, France.
Anne-Françoise RouxLaboratoire de Génétique Moléculaire, LGM, Centre Hospitalier Universitaire de Montpellier, IURC-Institut Universitaire de Recherche Clinique, 641 Avenue du Doyen G. Giraud, 34090 Montpellier, France.ORCID 0000-0001-5914-2335
Michel KoenigLaboratoire de Génétique Moléculaire, LGM, Centre Hospitalier Universitaire de Montpellier, IURC-Institut Universitaire de Recherche Clinique, 641 Avenue du Doyen G. Giraud, 34090 Montpellier, France.
Anne BergougnouxLaboratoire de Génétique Moléculaire, LGM, Centre Hospitalier Universitaire de Montpellier, IURC-Institut Universitaire de Recherche Clinique, 641 Avenue du Doyen G. Giraud, 34090 Montpellier, France.
Mireille CosséeLaboratoire de Génétique Moléculaire, LGM, Centre Hospitalier Universitaire de Montpellier, IURC-Institut Universitaire de Recherche Clinique, 641 Avenue du Doyen G. Giraud, 34090 Montpellier, France.ORCID 0000-0002-5931-7454

Funding

AFM Téléthon 19958agence de la biomedecine AOR AMP 2017
6 · The paper itself

Abstract

The transition from targeted to exome or genome sequencing in clinical contexts requires quality standards, such as targeted sequencing, in order to be fully adopted. However, no clear recommendations or methodology have emerged for evaluating this technological evolution. We developed a structured method based on four run-specific sequencing metrics and seven sample-specific sequencing metrics for evaluating the performance of exome sequencing strategies to replace targeted strategies. The indicators include quality metrics and coverage performance on gene panels and OMIM morbid genes. We applied this general strategy to three different exome kits and compared them with a myopathy-targeted sequencing method. After having achieved 80 million reads, all-tested exome kits generated data suitable for clinical diagnosis. However, significant differences in the coverage and PCR duplicates were observed between the kits. These are two main criteria to consider for the initial implementation with high-quality assurance. This study aims to assist molecular diagnostic laboratories in adopting and evaluating exome sequencing kits in a diagnostic context compared to the strategy used previously. A similar strategy could be used to implement whole-genome sequencing for diagnostic purposes.

Indexed as

High-Throughput Nucleotide SequencingLaboratories, ClinicalBase SequenceExome SequencingSequence Analysis, DNAWhole Genome Sequencingdiagnosticsexome sequencingNGSquality metricstargeted sequencing

Identifiers

PMID37108493
PMCPMC10138641

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.