Evidence map›Paper›PMID 31105274›Full record

ArticleGenetics in medicine : official journal of the American College of Medical Genetics2019

Estimating prevalence for limb-girdle muscular dystrophy based on public sequencing databases.

Wei Liu, Sander Pajusalu, Nicole J Lake, Geyu Zhou, Nilah Ioannidis, Plavi Mittal, Nicholas E Johnson, Conrad C Weihl, Bradley A Williams, Douglas E Albrecht and 2 more

Abstract read
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In one paragraph

Article in Genetics in medicine : official journal of the American College of Medical Genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed, 1 pooled it
5.9field-weighted citation impact, top 3% 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

51 citing papers in PubMed, 1 synthesis or guideline pooled it, 98 citations in OpenAlex.

  1. Pooled it
  2. SORT LNPs encapsulating Cas9 mRNA achieve efficient editing in skeletal muscle in a dystrophic mouse model.Molecular therapy : the journal of the American Society of Gene Therapy · 2026
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  8. Review
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  11. From Doubt to Diagnosis: Canadian Patient Perspectives on a Limb-Girdle Muscular Dystrophy Diagnosis.Health expectations : an international journal of public participation in health care and health policy · 2025
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  18. Review
  19. Engineered mischarged transfer RNAs for correcting pathogenic missense mutations.Molecular therapy : the journal of the American Society of Gene Therapy · 2024
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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 6 institutions in 3 countries.

Wei LiuProgram of Computational Biology and Bioinformatics, Yale University, New Haven, CT, USA.ORCID http://orcid.org/0000-0003-2558-1377
Sander Pajusalu *Department of Genetics, Yale School of Medicine, New Haven, CT, USA.ORCID http://orcid.org/0000-0002-5435-0781
Nicole J Lake *Department of Genetics, Yale School of Medicine, New Haven, CT, USA.
Geyu ZhouProgram of Computational Biology and Bioinformatics, Yale University, New Haven, CT, USA.
Nilah IoannidisJain Foundation, Seattle, WA, USA.
Plavi MittalJain Foundation, Seattle, WA, USA.
Nicholas E JohnsonDepartment of Neurology, Virginia Commonwealth University, Richmond, VA, USA.
Conrad C WeihlDepartment of Neurology, Washington University School of Medicine, St. Louis,, MO, USA.
Bradley A WilliamsJain Foundation, Seattle, WA, USA.
Douglas E AlbrechtJain Foundation, Seattle, WA, USA.
Laura E RufibachJain Foundation, Seattle, WA, USA.
Monkol LekDepartment of Genetics, Yale School of Medicine, New Haven, CT, USA. monkol.lek@yale.edu.
Jain Foundation · USYale University · USRoyal Children's Hospital · AUTartu University Hospital · EEVirginia Commonwealth University · USWashington University in St. Louis · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeLimb-girdle muscular dystrophies (LGMD) are a genetically heterogeneous category of autosomal inherited muscle diseases. Many genes causing LGMD have been identified, and clinical trials are beginning for treatment of some genetic subtypes. However, even with the gene-level mechanisms known, it is still difficult to get a robust and generalizable prevalence estimation for each subtype due to the limited amount of epidemiology data and the low incidence of LGMDs.

methodsTaking advantage of recently published exome and genome sequencing data from the general population, we used a Bayesian method to develop a robust disease prevalence estimator.

resultsThis method was applied to nine recessive LGMD subtypes. The estimated disease prevalence calculated by this method was largely comparable with published estimates from epidemiological studies; however, it highlighted instances of possible underdiagnosis for LGMD2B and 2L.

conclusionThe increasing size of aggregated population variant databases will allow for robust and reproducible prevalence estimates of recessive disease, which is critical for the strategic design and prioritization of clinical trials.

Indexed as

Bayes TheoremChromosome MappingDatabases, GeneticExomeFemaleHumansMaleMuscular Dystrophies, Limb-GirdleMutationPrevalencedisease prevalencelimb-girdle muscular dystrophyrare disease

Identifiers

PMID31105274
OpenAlexW2949800693

What OpenQuestion holds

Textmetadata
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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.