Evidence map›Paper›PMID 26913921›Full record

ArticleGenetics in medicine : official journal of the American College of Medical Genetics2016

Taking advantage of an old concept, "illegitimate transcription", for a proposed novel method of genetic diagnosis of McArdle disease.

Ines Garcia-Consuegra, Alberto Blázquez, Juan Carlos Rubio, Joaquín Arenas, Alfonsina Ballester-Lopez, Adrián González-Quintana, Antoni L Andreu, Tomàs Pinós, Jaume Coll-Cantí, Alejandro Lucia and 2 more

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Article in Genetics in medicine : official journal of the American College of Medical Genetics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.8field-weighted citation impact, top 16% 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

5 citing papers in PubMed, 9 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

12 authors at 4 institutions in 1 country.

Ines Garcia-ConsuegraLaboratorio de Enfermedades Mitocondriales y Neuromusculares, Hospital 12 de Octubre, Madrid, Spain.
Alberto BlázquezLaboratorio de Enfermedades Mitocondriales y Neuromusculares, Hospital 12 de Octubre, Madrid, Spain.ORCID 0000-0002-6479-3615
Juan Carlos RubioLaboratorio de Enfermedades Mitocondriales y Neuromusculares, Hospital 12 de Octubre, Madrid, Spain.
Joaquín ArenasLaboratorio de Enfermedades Mitocondriales y Neuromusculares, Hospital 12 de Octubre, Madrid, Spain.
Alfonsina Ballester-LopezTranslational Research Laboratory in Neuromuscular Diseases, Department of Neurosciences, Institut d'Investigació en Ciències de la Salut Germans Trias i Pujol i Campus Can Ruti, Universitat Autònoma de Barcelona, Badalona, Barcelona, Spain.
Adrián González-QuintanaLaboratorio de Enfermedades Mitocondriales y Neuromusculares, Hospital 12 de Octubre, Madrid, Spain.ORCID 0000-0002-4011-362X
Antoni L AndreuHospital Universitari de Bellvitge, Hospitalet del Llobregat, Barcelona, Spain.
Tomàs PinósCentre for Biomedical Network Research on Rare Diseases (CIBERER), Instituto de Salud Carlos III, Madrid, Spain.
Jaume Coll-CantíTranslational Research Laboratory in Neuromuscular Diseases, Department of Neurosciences, Institut d'Investigació en Ciències de la Salut Germans Trias i Pujol i Campus Can Ruti, Universitat Autònoma de Barcelona, Badalona, Barcelona, Spain.
Alejandro LuciaInstituto de Investigación Hospital 12 de Octubre (i+12), Madrid, Spain.
Gisela Nogales-GadeaTranslational Research Laboratory in Neuromuscular Diseases, Department of Neurosciences, Institut d'Investigació en Ciències de la Salut Germans Trias i Pujol i Campus Can Ruti, Universitat Autònoma de Barcelona, Badalona, Barcelona, Spain.ORCID 0000-0002-7414-212X
Miguel A MartínLaboratorio de Enfermedades Mitocondriales y Neuromusculares, Hospital 12 de Octubre, Madrid, Spain.ORCID 0000-0003-4741-772X
Instituto de Salud Carlos III · ESUniversitat Autònoma de Barcelona · ESResearch Institute Hospital 12 de Octubre · ESBellvitge University Hospital · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeMcArdle disease is a metabolic disorder caused by pathogenic mutations in the PYGM gene. Timely diagnosis can sometimes be difficult with direct genomic analysis, which requires additional studies of cDNA from muscle transcripts. Although the "nonsense-mediated mRNA decay" (NMD) eliminates tissue-specific aberrant transcripts, there is some residual transcription of tissue-specific genes in virtually all cells, such as peripheral blood mononuclear cells (PBMCs).

methodsWe studied a subset of the main types of PYGM mutations (deletions, missense, nonsense, silent, or splicing mutations) in cDNA from easily accessible cells (PBMCs) in 12 McArdle patients.

resultsAnalysis of cDNA from PBMCs allowed detection of all mutations. Importantly, the effects of mutations with unknown pathogenicity (silent and splicing mutations) were characterized in PBMCs. Because the NMD mechanism does not seem to operate in nonspecific cells, PBMCs were more suitable than muscle biopsies for detecting the pathogenicity of some PYGM mutations, notably the silent mutation c.645G>A (p.K215=), whose effect in the splicing of intron 6 was unnoticed in previous muscle transcriptomic studies.

conclusionWe propose considering the use of PBMCs for detecting mutations that are thought to cause McArdle disease, particularly for studying their actual pathogenicity.Genet Med 18 11, 1128-1135.

Indexed as

AdolescentAdultCodon, NonsenseFemaleGlycogen Phosphorylase, Muscle FormGlycogen Storage Disease Type VHumansLeukocytes, MononuclearMaleMiddle AgedPathology, MolecularRNA SplicingSequence DeletionYoung AdultCodon, NonsenseGlycogen Phosphorylase, Muscle Form

Identifiers

PMID26913921
OpenAlexW2293783309

What OpenQuestion holds

Textmetadata
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.