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Inferring genetic interactions from comparative fitness data

Overview of attention for article published in eLife, December 2017
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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 (93rd percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

Mentioned by

news
3 news outlets
twitter
7 X users
reddit
2 Redditors

Readers on

mendeley
70 Mendeley
citeulike
3 CiteULike
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Article details
Title
Inferring genetic interactions from comparative fitness data
Published in
eLife, December 2017
DOI 10.7554/elife.28629
Pubmed ID
Authors
Abstract

Darwinian fitness is a central concept in evolutionary biology. In practice, however, it is hardly possible to measure fitness for all genotypes in a natural population. Here, we present quantitative tools to make inferences about epistatic gene interactions when the fitness landscape is only incompletely determined due to imprecise measurements or missing observations. We demonstrate that genetic interactions can often be inferred from fitness rank orders, where all genotypes are ordered according to fitness, and even from partial fitness orders. We provide a complete characterization of rank orders that imply higher order epistasis. Our theory applies to all common types of gene interactions and facilitates comprehensive investigations of diverse genetic interactions. We analyzed various genetic systems comprising HIV-1, the malaria-causing parasite Plasmodium vivax, the fungus Aspergillus niger, and the TEM-family of β-lactamase associated with antibiotic resistance. For all systems, our approach revealed higher order interactions among mutations.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 70 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 15 21%
Student > Ph. D. Student 14 20%
Student > Bachelor 7 10%
Student > Master 7 10%
Professor 4 6%
Other 8 11%
Unknown 15 21%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 21 30%
Biochemistry, Genetics and Molecular Biology 10 14%
Engineering 4 6%
Physics and Astronomy 4 6%
Medicine and Dentistry 4 6%
Other 12 17%
Unknown 15 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 27. 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 28 November 2018.
All research outputs
#1,714,529
of 32,145,349 outputs
Outputs from eLife
#4,357
of 18,451 outputs
Outputs of similar age
#30,698
of 477,940 outputs
Outputs of similar age from eLife
#103
of 345 outputs
Altmetric has tracked 32,145,349 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 18,451 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 31.1. This one has done well, scoring higher than 76% 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 477,940 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 93% of its contemporaries.
We're also able to compare this research output to 345 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 70% of its contemporaries.