Evidence map›Paper›PMID 30985855›Full record

ArticleGenetics and molecular biology2019

Phenotype-oriented NGS panels for mucopolysaccharidoses: Validation and potential use in the diagnostic flowchart.

Ana Carolina Brusius-Facchin, Marina Siebert, Delva Leão, Diana Rojas Malaga, Gabriela Pasqualim, Franciele Trapp, Ursula Matte, Roberto Giugliani, Sandra Leistner-Segal

Open access · goldAbstract read
In one paragraph

Article in Genetics and molecular biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.2field-weighted citation impact, top 21% 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

12 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
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  4. Article
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  7. Article
  8. Review
  9. Article
  10. Review
  11. Diagnosis of Mucopolysaccharidoses.Diagnostics (Basel, Switzerland) · 2020
    Review
  12. Mucopolysaccharidosis Type I.Diagnostics (Basel, Switzerland) · 2020
    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

9 authors at 2 institutions in 1 country.

Ana Carolina Brusius-FacchinMedical Genetics Service, Hospital de Clínicas de Porto Alegre, Porto Alegre, RS, Brazil.
Marina SiebertMolecular and Protein Analysis Unit, Centro de Pesquisa Experimental, Hospital de Clínicas de Porto Alegre, Porto Alegre, RS, Brazil.
Delva LeãoMolecular and Protein Analysis Unit, Centro de Pesquisa Experimental, Hospital de Clínicas de Porto Alegre, Porto Alegre, RS, Brazil.
Diana Rojas MalagaMedical Genetics Service, Hospital de Clínicas de Porto Alegre, Porto Alegre, RS, Brazil.
Gabriela PasqualimPost-Graduation Program in Genetics and Molecular Biology, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil.
Franciele TrappMedical Genetics Service, Hospital de Clínicas de Porto Alegre, Porto Alegre, RS, Brazil.
Ursula MattePost-Graduation Program in Genetics and Molecular Biology, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil.
Roberto GiuglianiMedical Genetics Service, Hospital de Clínicas de Porto Alegre, Porto Alegre, RS, Brazil.ORCID http://orcid.org/0000-0001-9655-3686
Sandra Leistner-SegalMedical Genetics Service, Hospital de Clínicas de Porto Alegre, Porto Alegre, RS, Brazil.ORCID http://orcid.org/0000-0003-3792-6168
Universidade Federal do Rio Grande do Sul · BRHospital de Clínicas de Porto Alegre · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mucopolysaccharidosis (MPS) are a group of rare genetic disorders caused by deficiency in the activity of specific lysosomal enzymes required for the degradation of glycosaminoglycans (GAGs). A defect in the activity of these enzymes will result in the abnormal accumulation of GAGs inside the lysosomes of most cells, inducing progressive cellular damage and multiple organ failure. DNA samples from 70 patients with biochemical diagnosis of different MPSs genotypes confirmed by Sanger sequencing were used to evaluate a Next Generation Sequencing (NGS) protocol. Eleven genes related to MPSs were divided into three different panels according to the clinical phenotype. This strategy led to the identification of several pathogenic mutations distributed across all exons of MPSs-related genes. We were able to identify 96% of all gene variants previously identified by Sanger sequencing, showing high sensitivity in detecting different types of mutations. Furthermore, new variants were not identified, representing 100% specificity of the NGS protocol. The use of this NGS approach for genotype identification in MPSs is an attractive option for diagnosis of patients. In addition, the MPS diagnosis workflow could be divided in a two-tier approach: NGS as a first-tier followed by biochemical confirmation as a second-tier.

Identifiers

PMID30985855
PMCPMC6687349
OpenAlexW2938539705

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.