Evidence map›Paper›PMID 40225917›Full record

ArticleHuman mutation2024

Estimating the Prevalence of GNE Myopathy Using Population Genetic Databases.

Alexa Derksen, Rachel Thompson, Madeeha Shaikh, Sally Spendiff, Theodore J Perkins, Hanns Lochmüller

Abstract read
In one paragraph

Article in Human mutation, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Preclinical assessment of GNEFuture science OA · 2026
    Article
  2. Review
  3. Bayesian Population-Based Prevalence Estimation ofInternational journal of molecular sciences · 2026
    Article
  4. Review
  5. Journal of neuromuscular diseases · 2026
    Article
  6. Review
  7. Article
  8. 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

6 authors.

Alexa DerksenDepartment of Cellular and Molecular Medicine University of Ottawa, Ottawa, Ontario, Canada.ORCID 0000-0001-7862-4890
Rachel ThompsonChildren's Hospital of Eastern Ontario Research Institute, Ottawa, Ontario, Canada.ORCID 0000-0002-6889-0121
Madeeha ShaikhTranslational and Molecular Medicine University of Ottawa, Ottawa, Ontario, Canada.ORCID 0000-0002-2799-0548
Sally SpendiffChildren's Hospital of Eastern Ontario Research Institute, Ottawa, Ontario, Canada.ORCID 0000-0001-9579-3514
Theodore J PerkinsRegenerative Medicine Program Ottawa Hospital Research Institute, Ottawa, Ontario, Canada.ORCID 0000-0002-6622-8003
Hanns LochmüllerChildren's Hospital of Eastern Ontario Research Institute, Ottawa, Ontario, Canada.ORCID 0000-0003-2324-8001

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

GNE myopathy (GNEM) is a rare autosomal recessive disorder characterized by progressive skeletal muscle wasting starting in early adulthood. The prevalence of GNEM is estimated to range between one and nine cases per million individuals, but the accuracy of these estimates is limited by underdiagnosis, misdiagnosis, and bias introduced by founder allele frequencies. As GNEM is a recessive disorder, unaffected carriers of single damaging variants can be expected to be found in the healthy population, providing an alternative method for estimating prevalence. We aim to estimate the prevalence of GNEM using allele frequencies obtained from healthy population genetic databases. We performed a review to establish a complete list of all known pathogenic GNEM variants from both literature and variant databases. We then developed standardized filtering steps using in silico tools to predict the pathogenicity of unreported

Indexed as

Databases, GeneticDistal MyopathiesMultienzyme ComplexesGene FrequencyGenetic Predisposition to DiseaseGenetics, PopulationHumansPrevalenceMultienzyme ComplexesUDP-N-acetylglucosamine 2-epimerase - N-acetylmannosamine kinasegenetic databaseGNE myopathyneuromuscular diseasepopulationprevalencerare diseasevariants

Identifiers

PMID40225917
PMCPMC11919241

What OpenQuestion holds

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LicenceCC BY
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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.