Evidence map›Paper›PMID 32176652›Full record

ReviewJournal of neuromuscular diseases2020

Is Gene-Size an Issue for the Diagnosis of Skeletal Muscle Disorders?

Marco Savarese, Salla Välipakka, Mridul Johari, Peter Hackman, Bjarne Udd

Abstract readReview
In one paragraph

Review in Journal of neuromuscular diseases, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Genetic Testing for Neuromuscular Diseases.Practical neurology (Fort Washington, Pa.) · 2024
    Article
  2. Use of animal models to understand titin physiology and pathology.Journal of cellular and molecular medicine · 2022
    Review
  3. International journal of environmental research and public health · 2022
    Article
  4. Commentary:Frontiers in molecular neuroscience · 2022
    Article
  5. Review
  6. Panorama of the distal myopathies.Acta myologica : myopathies and cardiomyopathies : official journal of the Mediterranean Society of Myology · 2020
    Review
  7. Genotype-phenotype correlations in recessive titinopathies.Genetics in medicine : official journal of the American College of Medical Genetics · 2020
    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

5 authors.

Marco SavareseFolkhälsan Research Center, Helsinki, Finland.
Salla VälipakkaFolkhälsan Research Center, Helsinki, Finland.
Mridul JohariFolkhälsan Research Center, Helsinki, Finland.
Peter HackmanFolkhälsan Research Center, Helsinki, Finland.
Bjarne UddFolkhälsan Research Center, Helsinki, Finland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human genes have a variable length. Those having a coding sequence of extraordinary length and a high number of exons were almost impossible to sequence using the traditional Sanger-based gene-by-gene approach. High-throughput sequencing has partly overcome the size-related technical issues, enabling a straightforward, rapid and relatively inexpensive analysis of large genes.Several large genes (e.g. TTN, NEB, RYR1, DMD) are recognized as disease-causing in patients with skeletal muscle diseases. However, because of their sheer size, the clinical interpretation of variants in these genes is probably the most challenging aspect of the high-throughput genetic investigation in the field of skeletal muscle diseases.The main aim of this review is to discuss the technical and interpretative issues related to the diagnostic investigation of large genes and to reflect upon the current state of the art and the future advancements in the field.

Indexed as

Genetic TestingHumansMusculoskeletal Diseasescopy number variants (CNV)genetic diagnosisLarge genesvariant interpretationvariants of uncertain significance (VUS)

Identifiers

PMID32176652
PMCPMC7369045

What OpenQuestion holds

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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.