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Mobile element insertions are frequent in oesophageal adenocarcinomas and can mislead paired-end sequencing analysis

Overview of attention for article published in BMC Genomics, July 2015
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (94th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

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3 news outlets
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1 blog
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Citations

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22 Dimensions

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49 Mendeley
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Title
Mobile element insertions are frequent in oesophageal adenocarcinomas and can mislead paired-end sequencing analysis
Published in
BMC Genomics, July 2015
DOI 10.1186/s12864-015-1685-z
Pubmed ID
Authors

Anna L. Paterson, Jamie M.J. Weaver, Matthew D. Eldridge, Simon Tavaré, Rebecca C. Fitzgerald, Paul A.W. Edwards

Abstract

Mobile elements are active in the human genome, both in the germline and cancers, where they can mutate driver genes. While analysing whole genome paired-end sequencing of oesophageal adenocarcinomas to find genomic rearrangements, we identified three ways in which new mobile element insertions appear in the data, resembling translocation or insertion junctions: inserts where unique sequence has been transduced by an L1 (Long interspersed element 1) mobile element; novel inserts that are confidently, but often incorrectly, mapped by alignment software to L1s or polyA tracts in the reference sequence; and a combination of these two ways, where different sequences within one insert are mapped to different loci. We identified nine unique sequences that were transduced by neighbouring L1s, both L1s in the reference genome and L1s not present in the reference. Many of the resulting inserts were small fragments that include little or no recognisable mobile element sequence. We found 6 loci in the reference genome to which sequence reads from inserts were frequently mapped, probably erroneously, by alignment software: these were either L1 sequence or particularly long polyA runs. Inserts identified from such apparent rearrangement junctions averaged 16 inserts/tumour, range 0-153 insertions in 43 tumours. However, many inserts would not be detected by mapping the sequences to the reference genome, because they do not include sufficient mappable sequence. To estimate total somatic inserts we searched for polyA sequences that were not present in the matched normal or other normals from the same tumour batch, and were not associated with known polymorphisms. Samples of these candidate inserts were verified by sequencing across them or manual inspection of surrounding reads: at least 85 % were somatic and resembled L1-mediated events, most including L1Hs sequence. Approximately 100 such inserts were detected per tumour on average (range zero to approximately 700). Somatic mobile elements insertions are abundant in these tumours, with over 75 % of cases having a number of novel inserts detected. The inserts create a variety of problems for the interpretation of paired-end sequencing data.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Unknown 48 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 29%
Researcher 12 24%
Student > Master 5 10%
Student > Doctoral Student 4 8%
Professor 4 8%
Other 6 12%
Unknown 4 8%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 19 39%
Agricultural and Biological Sciences 11 22%
Medicine and Dentistry 8 16%
Mathematics 2 4%
Computer Science 2 4%
Other 1 2%
Unknown 6 12%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 33. 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 12 March 2016.
All research outputs
#1,020,725
of 22,816,807 outputs
Outputs from BMC Genomics
#171
of 10,653 outputs
Outputs of similar age
#13,636
of 262,950 outputs
Outputs of similar age from BMC Genomics
#6
of 259 outputs
Altmetric has tracked 22,816,807 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,653 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done particularly well, scoring higher than 98% 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 262,950 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 259 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.