Evidence map›Paper›PMID 30040739›Full record

ArticleJournal of neuromuscular diseases

An Extended Targeted Copy Number Variation Detection Array Including 187 Genes for the Diagnostics of Neuromuscular Disorders.

Lydia Sagath, Vilma-Lotta Lehtokari, Salla Välipakka, Bjarne Udd, Carina Wallgren-Pettersson, Katarina Pelin, Kirsi Kiiski

Open access · hybridAbstract read
In one paragraph

Article in Journal of neuromuscular diseases. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.8field-weighted citation impact, top 14% 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

15 citing papers in PubMed, 21 citations in OpenAlex.

  1. Review
  2. A homozygous single-nucleotide variant inJournal of neuromuscular diseases · 2025
    Article
  3. Article
  4. Article
  5. Article
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  9. Review
  10. Panorama of the distal myopathies.Acta myologica : myopathies and cardiomyopathies : official journal of the Mediterranean Society of Myology · 2020
    Review
  11. Article
  12. Nebulin: big protein with big responsibilities.Journal of muscle research and cell motility · 2020
    Review
  13. Review
  14. Article
  15. 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

7 authors at 1 institution in 1 country.

Lydia SagathThe Folkhälsan Institute of Genetics and the Department of Medical and Clinical Genetics, Medicum, University of Helsinki, Finland.
Vilma-Lotta LehtokariThe Folkhälsan Institute of Genetics and the Department of Medical and Clinical Genetics, Medicum, University of Helsinki, Finland.
Salla VälipakkaThe Folkhälsan Institute of Genetics and the Department of Medical and Clinical Genetics, Medicum, University of Helsinki, Finland.
Bjarne UddThe Folkhälsan Institute of Genetics and the Department of Medical and Clinical Genetics, Medicum, University of Helsinki, Finland.
Carina Wallgren-PetterssonThe Folkhälsan Institute of Genetics and the Department of Medical and Clinical Genetics, Medicum, University of Helsinki, Finland.
Katarina PelinThe Folkhälsan Institute of Genetics and the Department of Medical and Clinical Genetics, Medicum, University of Helsinki, Finland.
Kirsi KiiskiThe Folkhälsan Institute of Genetics and the Department of Medical and Clinical Genetics, Medicum, University of Helsinki, Finland.
University of Helsinki · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOur previous array, the Comparative Genomic Hybridisation design (CGH-array) for nemaline myopathy (NM), named the NM-CGH array, revealed pathogenic copy number variation (CNV) in the genes for nebulin (NEB) and tropomyosin 3 (TPM3), as well as recurrent CNVs in the segmental duplication (SD), i.e. triplicate, region of NEB (TRI, exons 82-89, 90-97, 98-105). In the light of this knowledge, we have designed and validated an extended CGH array, which includes a selection of 187 genes known to cause neuromuscular disorders (NMDs).

objectiveOur aim was to develop a reliable method for CNV detection in genes related to neuromuscular disorders for routine mutation detection and analysis, as a much-needed complement to sequencing methods.

methodsWe have developed a novel custom-made 4×180 k CGH array for the diagnostics of NMDs. It includes the same tiled ultra-high density coverage of the 12 known or putative NM genes as our 8×60 k NM-CGH-array but also comprises a selection of 175 additional genes associated with NMDs, including titin (TTN), at a high to very high coverage. The genes were divided into three coverage groups according to known and potential pathogenicity in neuromuscular disorders.

resultsThe array detected known and putative CNVs in all three gene coverage groups, including the repetitive regions of NEB and TTN.

conclusionsThe targeted neuromuscular disorder 4×180 k array-CGH (NMD-CGH-array v1.0) design allows CNV detection for a broader spectrum of neuromuscular disorders at a high resolution.

Indexed as

AdultConnectinDNADNA Copy Number VariationsFemaleGenomicsHumansMaleMicroarray AnalysisMuscle ProteinsMutationMyopathies, NemalineNeuromuscular DiseasesOligonucleotide Array Sequence AnalysisReproducibility of ResultsConnectinDNAMuscle ProteinsnebulinTTN protein, humanArray comparative genomic hybridisation (aCGH)copy number variation (CNV)NEBnebulinNM-CGHNMD-CGHtitinTTN

Identifiers

PMID30040739
PMCPMC6087456
OpenAlexW2884603022

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Registered trials

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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.