Evidence map›Paper›PMID 33673364›Full record

ArticleDiagnostics (Basel, Switzerland)2021

Next-Generation Molecular Investigations in Lysosomal Diseases: Clinical Integration of a Comprehensive Targeted Panel.

Bénédicte Sudrié-Arnaud, Sarah Snanoudj, Ivana Dabaj, Hélène Dranguet, Lenaig Abily-Donval, Axel Lebas, Myriam Vezain, Bénédicte Héron, Isabelle Marie, Marc Duval-Arnould and 3 more

Abstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Genetic Testing for Rare Diseases.Diagnostics (Basel, Switzerland) · 2022
    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

13 authors.

Bénédicte Sudrié-ArnaudDepartment of Metabolic Biochemistry, Rouen University Hospital, 76000 Rouen, France.
Sarah SnanoudjDepartment of Metabolic Biochemistry, Rouen University Hospital, 76000 Rouen, France.
Ivana DabajNormandie Univ, UNIROUEN, CHU Rouen, INSERM U1245, 76000 Rouen, France.ORCID 0000-0002-2324-1208
Hélène DranguetDepartment of Metabolic Biochemistry, Rouen University Hospital, 76000 Rouen, France.
Lenaig Abily-DonvalNormandie Univ, UNIROUEN, CHU Rouen, INSERM U1245, 76000 Rouen, France.
Axel LebasDepartment of Neurophysiology, Rouen University Hospital, 76031 Rouen, France.
Myriam VezainNormandie Univ, UNIROUEN, INSERM U1245, Department of Genetics and Reference Center for Developmental Disorders, Rouen University Hospital, Normandy Center for Genomic and Personalized Medicine, 76000 Rouen, France.ORCID 0000-0002-8333-1360
Bénédicte HéronCentre de Référence des Maladies Lysosomales, Service de Neurologie Pédiatrique, CHU Armand Trousseau-La Roche Guyon, GHUEP, APHP, 75000 Paris, France.
Isabelle MarieDepartment of Internal Medicine, Rouen University Hospital, 76000 Rouen, France.
Marc Duval-ArnouldDepartment of Pediatrics, Bicetre Hospital, APHP, 75000 Paris, France.
Stéphane MarretNormandie Univ, UNIROUEN, CHU Rouen, INSERM U1245, 76000 Rouen, France.ORCID 0000-0002-2858-148X
Abdellah TebaniDepartment of Metabolic Biochemistry, Rouen University Hospital, 76000 Rouen, France.ORCID 0000-0002-8901-2678
Soumeya BekriDepartment of Metabolic Biochemistry, Rouen University Hospital, 76000 Rouen, France.ORCID 0000-0001-6184-7270

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diagnosis of lysosomal disorders (LDs) may be hampered by their clinical heterogeneity, phenotypic overlap, and variable age at onset. Conventional biological diagnostic procedures are based on a series of sequential investigations and require multiple sampling. Early diagnosis may allow for timely treatment and prevent clinical complications. In order to improve LDs diagnosis, we developed a capture-based next generation sequencing (NGS) panel allowing the detection of single nucleotide variants (SNVs), small insertions and deletions, and copy number variants (CNVs) in 51 genes related to LDs. The design of the LD panel covered at least coding regions, promoter region, and flanking intronic sequences for 51 genes. The validation of this panel consisted in testing 21 well-characterized samples and evaluating analytical and diagnostic performance metrics. Bioinformatics pipelines have been validated for SNVs, indels and CNVs. The clinical output of this panel was tested in five novel cases. This capture-based NGS panel provides an average coverage depth of 474× which allows the detection of SNVs and CNVs in one comprehensive assay. All the targeted regions were covered above the minimum required depth of 30×. To illustrate the clinical utility, five novel cases have been sequenced using this panel and the identified variants have been confirmed using Sanger sequencing or quantitative multiplex PCR of short fluorescent fragments (QMPSF). The application of NGS as first-line approach to analyze suspected LD cases may speed up the identification of alterations in LD-associated genes. NGS approaches combined with bioinformatics analyses, are a useful and cost-effective tool for identifying the causative variations in LDs.

Indexed as

inborn errors of metabolismlysosomal disordersnext generation sequencingNGS

Identifiers

PMID33673364
PMCPMC7918778

What OpenQuestion holds

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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.