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Detection of variants in dystroglycanopathy-associated genes through the application of targeted whole-exome sequencing analysis to a large cohort of patients with unexplained limb-girdle muscle…

Overview of attention for article published in Skeletal Muscle, July 2018
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (83rd percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

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1 policy source
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Citations

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42 Dimensions

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46 Mendeley
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Title
Detection of variants in dystroglycanopathy-associated genes through the application of targeted whole-exome sequencing analysis to a large cohort of patients with unexplained limb-girdle muscle weakness
Published in
Skeletal Muscle, July 2018
DOI 10.1186/s13395-018-0170-1
Pubmed ID
Authors

Katherine Johnson, Marta Bertoli, Lauren Phillips, Ana Töpf, Peter Van den Bergh, John Vissing, Nanna Witting, Shahriar Nafissi, Shirin Jamal-Omidi, Anna Łusakowska, Anna Kostera-Pruszczyk, Anna Potulska-Chromik, Nicolas Deconinck, Carina Wallgren-Pettersson, Sonja Strang-Karlsson, Jaume Colomer, Kristl G. Claeys, Willem De Ridder, Jonathan Baets, Maja von der Hagen, Roberto Fernández-Torrón, Miren Zulaica Ijurco, Juan Bautista Espinal Valencia, Andreas Hahn, Hacer Durmus, Tracey Willis, Liwen Xu, Elise Valkanas, Thomas E. Mullen, Monkol Lek, Daniel G. MacArthur, Volker Straub

Abstract

Dystroglycanopathies are a clinically and genetically heterogeneous group of disorders that are typically characterised by limb-girdle muscle weakness. Mutations in 18 different genes have been associated with dystroglycanopathies, the encoded proteins of which typically modulate the binding of α-dystroglycan to extracellular matrix ligands by altering its glycosylation. This results in a disruption of the structural integrity of the myocyte, ultimately leading to muscle degeneration. Deep phenotypic information was gathered using the PhenoTips online software for 1001 patients with unexplained limb-girdle muscle weakness from 43 different centres across 21 European and Middle Eastern countries. Whole-exome sequencing with at least 250 ng DNA was completed using an Illumina exome capture and a 38 Mb baited target. Genes known to be associated with dystroglycanopathies were analysed for disease-causing variants. Suspected pathogenic variants were detected in DPM3, ISPD, POMT1 and FKTN in one patient each, in POMK in two patients, in GMPPB in three patients, in FKRP in eight patients and in POMT2 in ten patients. This indicated a frequency of 2.7% for the disease group within the cohort of 1001 patients with unexplained limb-girdle muscle weakness. The phenotypes of the 27 patients were highly variable, yet with a fundamental presentation of proximal muscle weakness and elevated serum creatine kinase. Overall, we have identified 27 patients with suspected pathogenic variants in dystroglycanopathy-associated genes. We present evidence for the genetic and phenotypic diversity of the dystroglycanopathies as a disease group, while also highlighting the advantage of incorporating next-generation sequencing into the diagnostic pathway of rare diseases.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 46 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 13%
Other 5 11%
Student > Bachelor 5 11%
Student > Master 5 11%
Professor > Associate Professor 3 7%
Other 9 20%
Unknown 13 28%
Readers by discipline Count As %
Medicine and Dentistry 10 22%
Neuroscience 6 13%
Nursing and Health Professions 4 9%
Biochemistry, Genetics and Molecular Biology 3 7%
Pharmacology, Toxicology and Pharmaceutical Science 2 4%
Other 6 13%
Unknown 15 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 22 October 2019.
All research outputs
#2,899,257
of 26,017,215 outputs
Outputs from Skeletal Muscle
#66
of 394 outputs
Outputs of similar age
#55,669
of 344,119 outputs
Outputs of similar age from Skeletal Muscle
#2
of 9 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 394 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.5. This one has done well, scoring higher than 83% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 344,119 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 7 of them.