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A high throughput screen for active human transposable elements

Overview of attention for article published in BMC Genomics, February 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 (80th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

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Title
A high throughput screen for active human transposable elements
Published in
BMC Genomics, February 2018
DOI 10.1186/s12864-018-4485-4
Pubmed ID
Authors

Erika M. Kvikstad, Paolo Piazza, Jenny C. Taylor, Gerton Lunter

Abstract

Transposable elements (TEs) are mobile genetic sequences that randomly propagate within their host's genome. This mobility has the potential to affect gene transcription and cause disease. However, TEs are technically challenging to identify, which complicates efforts to assess the impact of TE insertions on disease. Here we present a targeted sequencing protocol and computational pipeline to identify polymorphic and novel TE insertions using next-generation sequencing: TE-NGS. The method simultaneously targets the three subfamilies that are responsible for the majority of recent TE activity (L1HS, AluYa5/8, and AluYb8/9) thereby obviating the need for multiple experiments and reducing the amount of input material required. Here we describe the laboratory protocol and detection algorithm, and a benchmark experiment for the reference genome NA12878. We demonstrate a substantial enrichment for on-target fragments, and high sensitivity and precision to both reference and NA12878-specific insertions. We report 17 previously unreported loci for this individual which are supported by orthogonal long-read evidence, and we identify 1470 polymorphic and novel TEs in 12 additional samples that were previously undocumented in databases of insertion polymorphisms. We anticipate that future applications of TE-NGS alongside exome sequencing of patients with sporadic disease will reduce the number of unresolved cases, and improve estimates of the contribution of TEs to human genetic disease.

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X Demographics

The data shown below were collected from the profiles of 20 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 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 69 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 25%
Student > Ph. D. Student 11 16%
Student > Master 8 12%
Student > Bachelor 7 10%
Student > Doctoral Student 4 6%
Other 8 12%
Unknown 14 20%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 22 32%
Agricultural and Biological Sciences 18 26%
Immunology and Microbiology 4 6%
Computer Science 3 4%
Engineering 2 3%
Other 6 9%
Unknown 14 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 03 October 2018.
All research outputs
#3,747,679
of 23,020,670 outputs
Outputs from BMC Genomics
#1,483
of 10,698 outputs
Outputs of similar age
#84,221
of 440,103 outputs
Outputs of similar age from BMC Genomics
#30
of 203 outputs
Altmetric has tracked 23,020,670 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,698 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 86% 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 440,103 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 203 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.