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Statistical Enrichment of Epigenetic States Around Triplet Repeats that Can Undergo Expansions

Overview of attention for article published in Frontiers in Neuroscience, March 2016
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Title
Statistical Enrichment of Epigenetic States Around Triplet Repeats that Can Undergo Expansions
Published in
Frontiers in Neuroscience, March 2016
DOI 10.3389/fnins.2016.00092
Pubmed ID
Authors

Alexandra Essebier, Patricia Vera Wolf, Minh Duc Cao, Bernard J. Carroll, Sureshkumar Balasubramanian, Mikael Bodén

Abstract

More than 30 human genetic diseases are linked to tri-nucleotide repeat expansions. There is no known mechanism that explains repeat expansions in full, but changes in the epigenetic state of the associated locus has been implicated in the disease pathology for a growing number of examples. A comprehensive comparative analysis of the genomic features associated with diverse repeat expansions has been lacking. Here, in an effort to decipher the propensity of repeats to undergo expansion and result in a disease state, we determine the genomic coordinates of tri-nucleotide repeat tracts at base pair resolution and computationally establish epigenetic profiles around them. Using three complementary statistical tests, we reveal that several epigenetic states are enriched around repeats that are associated with disease, even in cells that do not harbor expansion, relative to a carefully stratified background. Analysis of over one hundred cell types reveals that epigenetic states generally tend to vary widely between genic regions and cell types. However, there is qualified consistency in the epigenetic signatures of repeats associated with disease suggesting that changes to the chromatin and the DNA around an expanding repeat locus are likely to be similar. These epigenetic signatures may be exploited further to develop models that could explain the propensity of repeats to undergo expansions.

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The data shown below were collected from the profiles of 3 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 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 22%
Researcher 4 22%
Student > Master 2 11%
Student > Bachelor 1 6%
Librarian 1 6%
Other 2 11%
Unknown 4 22%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 39%
Agricultural and Biological Sciences 2 11%
Computer Science 2 11%
Social Sciences 1 6%
Neuroscience 1 6%
Other 1 6%
Unknown 4 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 26 March 2016.
All research outputs
#17,285,036
of 25,373,627 outputs
Outputs from Frontiers in Neuroscience
#8,065
of 11,538 outputs
Outputs of similar age
#190,647
of 313,887 outputs
Outputs of similar age from Frontiers in Neuroscience
#114
of 166 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,538 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.9. This one is in the 24th percentile – i.e., 24% of its peers scored the same or lower than it.
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We're also able to compare this research output to 166 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.