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Results of next‐generation sequencing gene panel diagnostics including copy‐number variation analysis in 810 patients suspected of heritable thoracic aortic disorders

Overview of attention for article published in Human Mutation, July 2018
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  • Good Attention Score compared to outputs of the same age (65th percentile)
  • Good Attention Score compared to outputs of the same age and source (69th percentile)

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Title
Results of next‐generation sequencing gene panel diagnostics including copy‐number variation analysis in 810 patients suspected of heritable thoracic aortic disorders
Published in
Human Mutation, July 2018
DOI 10.1002/humu.23565
Pubmed ID
Authors

Eline Overwater, Luisa Marsili, Marieke J.H. Baars, Annette F. Baas, Irma van de Beek, Eelco Dulfer, Johanna M. van Hagen, Yvonne Hilhorst‐Hofstee, Marlies Kempers, Ingrid P. Krapels, Leonie A. Menke, Judith M.A. Verhagen, Kak K. Yeung, Petra J.G. Zwijnenburg, Maarten Groenink, Peter van Rijn, Marjan M. Weiss, Els Voorhoeve, J. Peter van Tintelen, Arjan C. Houweling, Alessandra Maugeri

Abstract

Simultaneous analysis of multiple genes using next generation sequencing (NGS) technology has become widely available. Copy number variations (CNVs) in disease-associated genes have emerged as a cause for several hereditary disorders. CNVs are, however, not routinely detected using NGS analysis. The aim of this study was to assess the diagnostic yield and the prevalence of CNVs using our panel of Hereditary Thoracic Aortic Disease (H-TAD) associated genes. 810 patients suspected of H-TAD were analysed by targeted NGS analysis of 21 H-TAD associated genes. In addition, the eXome Hidden Markov Model (XHMM; an algorithm to identify CNVs in targeted NGS data) was used to detect CNVs in these genes. A pathogenic or likely pathogenic variant was found in 66 out of 810 patients (8.1%). Of these 66 pathogenic or likely pathogenic variants, six (9.1%) were CNVs not detectable by routine NGS analysis. These CNVs were four intragenic (multi-)exon deletions in MYLK, TGFB2, SMAD3 and PRKG1 respectively. In addition, a large duplication including NOTCH1 and a large deletion encompassing SCARF2 were detected. As confirmed by additional analyses, both CNVs indicated larger chromosomal abnormalities which could explain the phenotype in both patients. Given the clinical relevance of the identification of a genetic cause, CNV analysis using a method such as XHMM should be incorporated into the clinical diagnostic care for H-TAD patients. This article is protected by copyright. All rights reserved.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 59 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 11 19%
Researcher 8 14%
Student > Ph. D. Student 8 14%
Student > Master 6 10%
Other 5 8%
Other 6 10%
Unknown 15 25%
Readers by discipline Count As %
Medicine and Dentistry 25 42%
Biochemistry, Genetics and Molecular Biology 7 12%
Agricultural and Biological Sciences 3 5%
Computer Science 2 3%
Physics and Astronomy 1 2%
Other 3 5%
Unknown 18 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 07 March 2019.
All research outputs
#7,267,105
of 25,382,440 outputs
Outputs from Human Mutation
#882
of 2,989 outputs
Outputs of similar age
#117,038
of 339,415 outputs
Outputs of similar age from Human Mutation
#10
of 33 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 2,989 research outputs from this source. They receive a mean Attention Score of 4.8. This one has gotten more attention than average, scoring higher than 70% 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 339,415 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.