Evidence map›Paper›PMID 40357124›Full record

ReviewBMJ neurology open2025

Long-read sequencing for diagnosis of genetic myopathies.

Dennis Yeow, Laura Ivete Rudaks, Ryan Davis, Karl Ng, Roula Ghaoui, Pak Leng Cheong, Gianina Ravenscroft, Marina Kennerson, Ira Deveson, Kishore Raj Kumar

Abstract readReview
In one paragraph

Review in BMJ neurology open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Nanopore Sequencing for Chikungunya Virus: Principles and Application.Methods in molecular biology (Clifton, N.J.) · 2027
    Article
  2. Article
  3. Review
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.

Dennis YeowNeurology Department and Molecular Medicine Laboratory, Concord Repatriation General Hospital, Sydney, New South Wales, Australia.ORCID 0000-0001-7534-7007
Laura Ivete RudaksNeurology Department and Molecular Medicine Laboratory, Concord Repatriation General Hospital, Sydney, New South Wales, Australia.ORCID 0000-0002-1100-319X
Ryan DavisThe University of Sydney Faculty of Medicine and Health, Sydney, New South Wales, Australia.
Karl NgThe University of Sydney Faculty of Medicine and Health, Sydney, New South Wales, Australia.
Roula GhaouiDepartment of Neurology, Royal Adelaide Hospital, Adelaide, South Australia, Australia.
Pak Leng CheongThe University of Sydney Faculty of Medicine and Health, Sydney, New South Wales, Australia.
Gianina RavenscroftRare Disease Genetics and Functional Genomics, Harry Perkins Institute of Medical Research, Perth, Western Australia, Australia.
Marina KennersonThe University of Sydney Faculty of Medicine and Health, Sydney, New South Wales, Australia.
Ira DevesonGenomic Technologies Lab, Garvan Institute of Medical Research, Sydney, New South Wales, Australia.
Kishore Raj KumarNeurology Department and Molecular Medicine Laboratory, Concord Repatriation General Hospital, Sydney, New South Wales, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genetic myopathies are caused by pathogenic variants in >300 genes across the nuclear and mitochondrial genomes. Although short-read next-generation sequencing (NGS) has revolutionised the diagnosis of genetic disorders, large and/or complex genetic variants, which are over-represented in the genetic myopathies, are not well characterised using this approach. Long-read sequencing (LRS) is a newer genetic testing technology that overcomes many of the limitations of NGS. In particular, LRS provides improved detection of challenging variant types, including short tandem repeat (STR) expansions, copy number variants and structural variants, as well as improved variant phasing and concurrent assessment of epigenetic changes, including DNA methylation. The ability to concurrently detect multiple STR expansions is particularly relevant given the growing number of recently described genetic myopathies associated with STR expansions. LRS will also aid in the identification of new myopathy genes and molecular mechanisms. However, use of LRS technology is currently limited by high cost, low accessibility, the need for specialised DNA extraction procedures, limited availability of LRS bioinformatic tools and pipelines, and the relative lack of healthy control LRS variant databases. Once these barriers are addressed, the implementation of LRS into clinical diagnostic pipelines will undoubtedly streamline the diagnostic algorithm and increase the diagnostic rate for genetic myopathies. In this review, we discuss the utility and critical impact of LRS in this field.

Indexed as

GENETICSMUSCLE DISEASEMUSCULAR DYSTROPHYMYOPATHYNEUROGENETICS

Identifiers

PMID40357124
PMCPMC12067802

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.