Evidence map›Paper›PMID 27588584›Full record

ReviewCurrent opinion in neurology2016

Next-generation sequencing in neuromuscular diseases.

Stephanie Efthymiou, Andreea Manole, Henry Houlden

Erratum issuedAbstract readReview
In one paragraph

Review in Current opinion in neurology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Dominant or recessive mutations in theActa myologica : myopathies and cardiomyopathies : official journal of the Mediterranean Society of Myology · 2020
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Stephanie EfthymiouaDepartment of Molecular NeurosciencebMRC Centre for Neuromuscular Diseases.
Andreea Manole
Henry Houlden

Funding

Intramural NIH HHS Z99 CA999999Medical Research Council G0802760Medical Research Council G1001253Medical Research Council G108/638Medical Research Council MR/J004758/1Wellcome Trust
6 · The paper itself

Abstract

purpose of reviewNeuromuscular diseases are clinically and genetically heterogeneous and probably contain the greatest proportion of causative Mendelian defects than any other group of conditions. These disorders affect muscle and/or nerves with neonatal, childhood or adulthood onset, with significant disability and early mortality. Along with heterogeneity, unidentified and often very large genes require complementary and comprehensive methods in routine molecular diagnosis. Inevitably, this leads to increased diagnostic delays and challenges in the interpretation of genetic variants. RECENT

findingsThe application of next-generation sequencing, as a research and diagnostic strategy, has made significant progress into solving many of these problems. The analysis of these data is by no means simple, and the clinical input is essential to interpret results. SUMMARY: In this review, we describe using examples the recent advances in the genetic diagnosis of neuromuscular disorders, in research and clinical practice and the latest developments that are underway in next-generation sequencing. We also discuss the latest collaborative initiatives such as the Genomics England (Department of Health, UK) genome sequencing project that combine rare disease clinical phenotyping with genomics, with the aim of defining the vast majority of rare disease genes in patients as well as modifying risks and pharmacogenomics factors.

Indexed as

High-Throughput Nucleotide SequencingExomeGenomeHumansNeuromuscular Diseases

Identifiers

PMID27588584
PMCPMC5082606

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.