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Next-generation sequencing (NGS) as a diagnostic tool for retinal degeneration reveals a much higher detection rate in early-onset disease

Overview of attention for article published in European Journal of Human Genetics, September 2012
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (87th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

twitter
4 X users
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1 patent
facebook
1 Facebook page
wikipedia
1 Wikipedia page

Citations

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118 Dimensions

Readers on

mendeley
101 Mendeley
citeulike
5 CiteULike
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Title
Next-generation sequencing (NGS) as a diagnostic tool for retinal degeneration reveals a much higher detection rate in early-onset disease
Published in
European Journal of Human Genetics, September 2012
DOI 10.1038/ejhg.2012.172
Pubmed ID
Authors

Morag E Shanks, Susan M Downes, Richard R Copley, Stefano Lise, John Broxholme, Karl AZ Hudspith, Alexandra Kwasniewska, Wayne IL Davies, Mark W Hankins, Emily R Packham, Penny Clouston, Anneke Seller, Andrew OM Wilkie, Jenny C Taylor, Jiannis Ragoussis, Andrea H Németh

Abstract

Inherited retinal degeneration (IRD) is a common cause of visual impairment (prevalence ∼1/3500). There is considerable phenotype and genotype heterogeneity, making a specific diagnosis very difficult without molecular testing. We investigated targeted capture combined with next-generation sequencing using Nimblegen 12plex arrays and the Roche 454 sequencing platform to explore its potential for clinical diagnostics in two common types of IRD, retinitis pigmentosa and cone-rod dystrophy. 50 patients (36 unknowns and 14 positive controls) were screened, and pathogenic mutations were identified in 25% of patients in the unknown, with 53% in the early-onset cases. All patients with new mutations detected had an age of onset <21 years and 44% had a family history. Thirty-one percent of mutations detected were novel. A de novo mutation in rhodopsin was identified in one early-onset case without a family history. Bioinformatic pipelines were developed to identify likely pathogenic mutations and stringent criteria were used for assignment of pathogenicity. Analysis of sequencing metrics revealed significant variability in capture efficiency and depth of coverage. We conclude that targeted capture and next-generation sequencing are likely to be very useful in a diagnostic setting, but patients with earlier onset of disease are more likely to benefit from using this strategy. The mutation-detection rate suggests that many patients are likely to have mutations in novel genes.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 101 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 2 2%
United States 2 2%
South Africa 1 <1%
Spain 1 <1%
Korea, Republic of 1 <1%
Unknown 94 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 21 21%
Student > Bachelor 15 15%
Student > Ph. D. Student 15 15%
Student > Master 10 10%
Other 8 8%
Other 16 16%
Unknown 16 16%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 23 23%
Agricultural and Biological Sciences 23 23%
Medicine and Dentistry 18 18%
Computer Science 4 4%
Neuroscience 3 3%
Other 10 10%
Unknown 20 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 01 April 2021.
All research outputs
#3,045,476
of 22,678,224 outputs
Outputs from European Journal of Human Genetics
#814
of 3,412 outputs
Outputs of similar age
#21,805
of 168,582 outputs
Outputs of similar age from European Journal of Human Genetics
#10
of 59 outputs
Altmetric has tracked 22,678,224 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,412 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.8. This one has done well, scoring higher than 75% 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 168,582 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 87% of its contemporaries.
We're also able to compare this research output to 59 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.