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Analyzing Somatic Genome Rearrangements in Human Cancers by Using Whole-Exome Sequencing

Overview of attention for article published in American Journal of Human Genetics, May 2016
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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 (89th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

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34 X users
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1 Facebook page

Citations

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33 Dimensions

Readers on

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93 Mendeley
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3 CiteULike
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Title
Analyzing Somatic Genome Rearrangements in Human Cancers by Using Whole-Exome Sequencing
Published in
American Journal of Human Genetics, May 2016
DOI 10.1016/j.ajhg.2016.03.017
Pubmed ID
Authors

Lixing Yang, Mi-Sook Lee, Hengyu Lu, Doo-Yi Oh, Yeon Jeong Kim, Donghyun Park, Gahee Park, Xiaojia Ren, Christopher A. Bristow, Psalm S. Haseley, Soohyun Lee, Angeliki Pantazi, Raju Kucherlapati, Woong-Yang Park, Kenneth L. Scott, Yoon-La Choi, Peter J. Park

Abstract

Although exome sequencing data are generated primarily to detect single-nucleotide variants and indels, they can also be used to identify a subset of genomic rearrangements whose breakpoints are located in or near exons. Using >4,600 tumor and normal pairs across 15 cancer types, we identified over 9,000 high confidence somatic rearrangements, including a large number of gene fusions. We find that the 5' fusion partners of functional fusions are often housekeeping genes, whereas the 3' fusion partners are enriched in tyrosine kinases. We establish the oncogenic potential of ROR1-DNAJC6 and CEP85L-ROS1 fusions by showing that they can promote cell proliferation in vitro and tumor formation in vivo. Furthermore, we found that ∼4% of the samples have massively rearranged chromosomes, many of which are associated with upregulation of oncogenes such as ERBB2 and TERT. Although the sensitivity of detecting structural alterations from exomes is considerably lower than that from whole genomes, this approach will be fruitful for the multitude of exomes that have been and will be generated, both in cancer and in other diseases.

X Demographics

X Demographics

The data shown below were collected from the profiles of 34 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 93 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
Unknown 92 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 27 29%
Researcher 17 18%
Student > Master 9 10%
Student > Bachelor 6 6%
Professor > Associate Professor 6 6%
Other 17 18%
Unknown 11 12%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 28 30%
Agricultural and Biological Sciences 21 23%
Medicine and Dentistry 9 10%
Computer Science 7 8%
Engineering 4 4%
Other 10 11%
Unknown 14 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 25 May 2017.
All research outputs
#2,020,594
of 25,473,687 outputs
Outputs from American Journal of Human Genetics
#1,086
of 5,894 outputs
Outputs of similar age
#32,130
of 312,075 outputs
Outputs of similar age from American Journal of Human Genetics
#26
of 63 outputs
Altmetric has tracked 25,473,687 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,894 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.3. This one has done well, scoring higher than 81% 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 312,075 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 89% of its contemporaries.
We're also able to compare this research output to 63 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 60% of its contemporaries.