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Passive and active DNA methylation and the interplay with genetic variation in gene regulation

Overview of attention for article published in eLife, June 2013
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (95th percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

Mentioned by

news
1 news outlet
blogs
2 blogs
twitter
28 X users
facebook
2 Facebook pages

Citations

dimensions_citation
405 Dimensions

Readers on

mendeley
520 Mendeley
citeulike
4 CiteULike
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Title
Passive and active DNA methylation and the interplay with genetic variation in gene regulation
Published in
eLife, June 2013
DOI 10.7554/elife.00523
Pubmed ID
Authors

Maria Gutierrez-Arcelus, Tuuli Lappalainen, Stephen B Montgomery, Alfonso Buil, Halit Ongen, Alisa Yurovsky, Julien Bryois, Thomas Giger, Luciana Romano, Alexandra Planchon, Emilie Falconnet, Deborah Bielser, Maryline Gagnebin, Ismael Padioleau, Christelle Borel, Audrey Letourneau, Periklis Makrythanasis, Michel Guipponi, Corinne Gehrig, Stylianos E Antonarakis, Emmanouil T Dermitzakis

Abstract

DNA methylation is an essential epigenetic mark whose role in gene regulation and its dependency on genomic sequence and environment are not fully understood. In this study we provide novel insights into the mechanistic relationships between genetic variation, DNA methylation and transcriptome sequencing data in three different cell-types of the GenCord human population cohort. We find that the association between DNA methylation and gene expression variation among individuals are likely due to different mechanisms from those establishing methylation-expression patterns during differentiation. Furthermore, cell-type differential DNA methylation may delineate a platform in which local inter-individual changes may respond to or act in gene regulation. We show that unlike genetic regulatory variation, DNA methylation alone does not significantly drive allele specific expression. Finally, inferred mechanistic relationships using genetic variation as well as correlations with TF abundance reveal both a passive and active role of DNA methylation to regulatory interactions influencing gene expression. DOI:http://dx.doi.org/10.7554/eLife.00523.001.

X Demographics

X Demographics

The data shown below were collected from the profiles of 28 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 520 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 13 3%
Germany 5 <1%
Norway 2 <1%
Spain 2 <1%
Canada 2 <1%
United Kingdom 2 <1%
Netherlands 1 <1%
Portugal 1 <1%
Brazil 1 <1%
Other 5 <1%
Unknown 486 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 157 30%
Researcher 121 23%
Student > Bachelor 56 11%
Student > Master 44 8%
Student > Doctoral Student 26 5%
Other 67 13%
Unknown 49 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 210 40%
Biochemistry, Genetics and Molecular Biology 111 21%
Medicine and Dentistry 46 9%
Computer Science 33 6%
Psychology 8 2%
Other 46 9%
Unknown 66 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 37. 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 07 September 2021.
All research outputs
#1,042,748
of 24,598,501 outputs
Outputs from eLife
#3,366
of 15,027 outputs
Outputs of similar age
#8,228
of 201,837 outputs
Outputs of similar age from eLife
#15
of 76 outputs
Altmetric has tracked 24,598,501 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 15,027 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 36.6. This one has done well, scoring higher than 77% 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 201,837 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 95% of its contemporaries.
We're also able to compare this research output to 76 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.