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Limited evidence that cancer susceptibility regions are preferential targets for somatic mutation

Overview of attention for article published in Genome Biology, September 2015
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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)
  • Above-average Attention Score compared to outputs of the same age and source (53rd percentile)

Mentioned by

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19 X users
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1 Wikipedia page

Citations

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19 Dimensions

Readers on

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45 Mendeley
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2 CiteULike
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Title
Limited evidence that cancer susceptibility regions are preferential targets for somatic mutation
Published in
Genome Biology, September 2015
DOI 10.1186/s13059-015-0755-5
Pubmed ID
Authors

Mitchell J. Machiela, Brian M. Ho, Victoria A. Fisher, Xing Hua, Stephen J. Chanock

Abstract

Genome wide-association studies have successfully identified several hundred independent loci harboring common cancer susceptibility alleles that are distinct from the more than 110 cancer predisposition genes. The latter are generally characterized by disruptive mutations in coding genes that have been established as 'drivers' of cancer in large somatic sequencing studies. We set out to determine whether, similarly, common cancer susceptibility loci map to genes that have altered frequencies of mutation. In our analysis of the intervals defined by the cancer susceptibility markers, we observed that cancer susceptibility regions have gene mutation frequencies comparable to background mutation frequencies. Restricting analyses to genes that have been determined to be pleiotropic across cancer types, genes affected by expression quantitative trait loci, or functional genes indicates that most cancer susceptibility genes classified into these subgroups do not display mutation frequencies that deviate from those expected. We observed limited evidence that cancer susceptibility regions that harbor common alleles with small estimated effect sizes are preferential targets for altered somatic mutation frequencies. Our findings suggest a complex interplay between germline susceptibility and somatic mutation, underscoring the cumulative effect of common variants on redundant pathways as opposed to driver genes. Complex biological pathways and networks likely link these genetic features of carcinogenesis, particularly as they relate to distinct polygenic models for each cancer type.

X Demographics

X Demographics

The data shown below were collected from the profiles of 19 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 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 2%
Unknown 44 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 18 40%
Student > Ph. D. Student 10 22%
Student > Doctoral Student 6 13%
Student > Bachelor 4 9%
Student > Master 2 4%
Other 4 9%
Unknown 1 2%
Readers by discipline Count As %
Agricultural and Biological Sciences 19 42%
Biochemistry, Genetics and Molecular Biology 15 33%
Computer Science 3 7%
Medicine and Dentistry 2 4%
Mathematics 1 2%
Other 0 0%
Unknown 5 11%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 21 September 2016.
All research outputs
#2,721,767
of 25,374,917 outputs
Outputs from Genome Biology
#2,124
of 4,467 outputs
Outputs of similar age
#35,409
of 281,198 outputs
Outputs of similar age from Genome Biology
#38
of 82 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has gotten more attention than average, scoring higher than 52% 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 281,198 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 82 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 53% of its contemporaries.