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Targeted next generation sequencing for molecular diagnosis of Usher syndrome

Overview of attention for article published in Orphanet Journal of Rare Diseases, November 2014
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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 (80th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

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7 X users
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136 Mendeley
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Article details
Title
Targeted next generation sequencing for molecular diagnosis of Usher syndrome
Published in
Orphanet Journal of Rare Diseases, November 2014
DOI 10.1186/s13023-014-0168-7
Pubmed ID
Authors
Abstract

BackgroundUsher syndrome is an autosomal recessive disease that associates sensorineural hearing loss, retinitis pigmentosa and, in some cases, vestibular dysfunction. It is clinically and genetically heterogeneous. To date, 10 genes have been associated with the disease, making its molecular diagnosis based on Sanger sequencing, expensive and time-consuming. Consequently, the aim of the present study was to develop a molecular diagnostics method for Usher syndrome, based on targeted next generation sequencing.MethodsA custom HaloPlex panel for Illumina platforms was designed to capture all exons of the 10 known causative Usher syndrome genes (MYO7A, USH1C, CDH23, PCDH15, USH1G, CIB2, USH2A, GPR98, DFNB31 and CLRN1), the two Usher syndrome-related genes (HARS and PDZD7) and the two candidate genes VEZT and MYO15A. A cohort of 44 patients suffering from Usher syndrome was selected for this study. This cohort was divided into two groups: a test group of 11 patients with known mutations and another group of 33 patients with unknown mutations.ResultsForty USH patients were successfully sequenced, 8 USH patients from the test group and 32 patients from the group composed of USH patients without genetic diagnosis. We were able to detect biallelic mutations in one USH gene in 22 out of 32 USH patients (68.75%) and to identify 79.7% of the expected mutated alleles. Fifty-three different mutations were detected. These mutations included 21 missense, 8 nonsense, 9 frameshifts, 9 intronic mutations and 6 large rearrangements.ConclusionsTargeted next generation sequencing allowed us to detect both point mutations and large rearrangements in a single experiment, minimizing the economic cost of the study, increasing the detection ratio of the genetic cause of the disease and improving the genetic diagnosis of Usher syndrome patients.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 136 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Lithuania 1 <1%
United Kingdom 1 <1%
Brazil 1 <1%
Unknown 133 98%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Bachelor 20 15%
Student > Master 18 13%
Other 13 10%
Student > Ph. D. Student 13 10%
Researcher 13 10%
Other 20 15%
Unknown 39 29%
Readers by discipline
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 36 26%
Agricultural and Biological Sciences 26 19%
Medicine and Dentistry 24 18%
Nursing and Health Professions 3 2%
Neuroscience 2 1%
Other 3 2%
Unknown 42 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 2020.
All research outputs
#7,201,555
of 34,089,221 outputs
Outputs from Orphanet Journal of Rare Diseases
#1,080
of 3,773 outputs
Outputs of similar age
#81,639
of 425,391 outputs
Outputs of similar age from Orphanet Journal of Rare Diseases
#17
of 76 outputs
Altmetric has tracked 34,089,221 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,773 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.3. 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 425,391 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 80% of its contemporaries.
We're also able to compare this research output to 76 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.