Evidence map›Paper›PMID 31508908›Full record

ArticleMolecular genetics & genomic medicine2019

Glycogen storage diseases: Twenty-seven new variants in a cohort of 125 patients.

Fernanda Sperb-Ludwig, Franciele Cabral Pinheiro, Malu Bettio Soares, Tatiele Nalin, Erlane Marques Ribeiro, Carlos Eduardo Steiner, Eugênia Ribeiro Valadares, Gilda Porta, Carolina Fishinger Moura de Souza, Ida Vanessa Doederlein Schwartz

Open access · goldAbstract read
In one paragraph

Article in Molecular genetics & genomic medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.8field-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

16 citing papers in PubMed, 21 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 5 institutions in 1 country.

Fernanda Sperb-LudwigPost-Graduation Program in Genetics and Molecular Biology, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.ORCID 0000-0002-2460-7064
Franciele Cabral PinheiroPost-Graduation Program in Genetics and Molecular Biology, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.
Malu Bettio SoaresLaboratory of Basic Research and Advanced Investigations in Neurosciences (BRAIN), Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil.
Tatiele NalinPost-Graduation Program in Genetics and Molecular Biology, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.
Erlane Marques RibeiroHospital Infantil Albert Sabin, Fortaleza, Brazil.
Carlos Eduardo SteinerUniversidade Estadual de Campinas, Campinas, Brazil.
Eugênia Ribeiro ValadaresDepartamento de Propedêutica Complementar, Faculdade de Medicina da Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.
Gilda PortaHospital Infantil Menino Jesus, São Paulo, Brazil.
Carolina Fishinger Moura de SouzaMedical Genetics Service, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil.
Ida Vanessa Doederlein SchwartzPost-Graduation Program in Genetics and Molecular Biology, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.
Universidade Federal do Rio Grande do Sul · BRHospital de Clínicas de Porto Alegre · BRHospital Infantil Albert Sabin · BRUniversidade Estadual de Campinas (UNICAMP) · BRUniversidade Federal de Minas Gerais · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHepatic glycogen storage diseases (GSDs) are a group of rare genetic disorders in which glycogen cannot be metabolized to glucose in the liver because of enzyme deficiencies along the glycogenolytic pathway. GSDs are well-recognized diseases that can occur without the full spectrum, and with overlapping in symptoms.

methodsWe analyzed a cohort of 125 patients with suspected hepatic GSD through a next-generation sequencing (NGS) gene panel in Ion Torrent platform. New variants were analyzed by pathogenicity prediction tools.

resultsTwenty-seven new variants predicted as pathogenic were found between 63 variants identified. The most frequent GSD was type Ia (n = 53), followed by Ib (n = 23). The most frequent variants were p.Arg83Cys (39 alleles) and p.Gln347* (14 alleles) in G6PC gene, and p.Leu348Valfs (21 alleles) in SLC37A4 gene.

conclusionsThe study presents the largest cohort ever analyzed in Brazilian patients with hepatic glycogenosis. We determined the clinical utility of NGS for diagnosis. The molecular diagnosis of hepatic GSDs enables the characterization of diseases with similar clinical symptoms, avoiding hepatic biopsy and having faster results.

Indexed as

MutationBiomarkersBrazilCohort StudiesFemaleFollow-Up StudiesGlycogen Storage DiseaseHigh-Throughput Nucleotide SequencingHumansLiver DiseasesMalePrognosisBiomarkersglycogen storage diseasehepatic GSDmolecular diagnosisnext-generation sequencing

Identifiers

PMID31508908
PMCPMC6825860
OpenAlexW2972775023

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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.