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Age-related accrual of methylomic variability is linked to fundamental ageing mechanisms

Overview of attention for article published in Genome Biology (Online Edition), September 2016
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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 (98th percentile)

Mentioned by

news
17 news outlets
blogs
3 blogs
twitter
18 tweeters
patent
2 patents
facebook
1 Facebook page

Citations

dimensions_citation
104 Dimensions

Readers on

mendeley
199 Mendeley
citeulike
1 CiteULike
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Title
Age-related accrual of methylomic variability is linked to fundamental ageing mechanisms
Published in
Genome Biology (Online Edition), September 2016
DOI 10.1186/s13059-016-1053-6
Pubmed ID
Authors

Roderick C. Slieker, Maarten van Iterson, René Luijk, Marian Beekman, Daria V. Zhernakova, Matthijs H. Moed, Hailiang Mei, Michiel van Galen, Patrick Deelen, Marc Jan Bonder, Alexandra Zhernakova, André G. Uitterlinden, Ettje F. Tigchelaar, Coen D. A. Stehouwer, Casper G. Schalkwijk, Carla J. H. van der Kallen, Albert Hofman, Diana van Heemst, Eco J. de Geus, Jenny van Dongen, Joris Deelen, Leonard H. van den Berg, Joyce van Meurs, Rick Jansen, Peter A. C. ‘t Hoen, Lude Franke, Cisca Wijmenga, Jan H. Veldink, Morris A. Swertz, Marleen M. J. van Greevenbroek, Cornelia M. van Duijn, Dorret I. Boomsma, P. Eline Slagboom, Bastiaan T. Heijmans

Abstract

Epigenetic change is a hallmark of ageing but its link to ageing mechanisms in humans remains poorly understood. While DNA methylation at many CpG sites closely tracks chronological age, DNA methylation changes relevant to biological age are expected to gradually dissociate from chronological age, mirroring the increased heterogeneity in health status at older ages. Here, we report on the large-scale identification of 6366 age-related variably methylated positions (aVMPs) identified in 3295 whole blood DNA methylation profiles, 2044 of which have a matching RNA-seq gene expression profile. aVMPs are enriched at polycomb repressed regions and, accordingly, methylation at those positions is associated with the expression of genes encoding components of polycomb repressive complex 2 (PRC2) in trans. Further analysis revealed trans-associations for 1816 aVMPs with an additional 854 genes. These trans-associated aVMPs are characterized by either an age-related gain of methylation at CpG islands marked by PRC2 or a loss of methylation at enhancers. This distinct pattern extends to other tissues and multiple cancer types. Finally, genes associated with aVMPs in trans whose expression is variably upregulated with age (733 genes) play a key role in DNA repair and apoptosis, whereas downregulated aVMP-associated genes (121 genes) are mapped to defined pathways in cellular metabolism. Our results link age-related changes in DNA methylation to fundamental mechanisms that are thought to drive human ageing.

Twitter Demographics

The data shown below were collected from the profiles of 18 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 199 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
China 1 <1%
Unknown 197 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 50 25%
Researcher 40 20%
Student > Postgraduate 27 14%
Student > Bachelor 20 10%
Student > Master 14 7%
Other 28 14%
Unknown 20 10%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 72 36%
Agricultural and Biological Sciences 54 27%
Medicine and Dentistry 15 8%
Psychology 7 4%
Computer Science 5 3%
Other 19 10%
Unknown 27 14%

Attention Score in Context

This research output has an Altmetric Attention Score of 152. 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 19 December 2019.
All research outputs
#138,271
of 16,414,025 outputs
Outputs from Genome Biology (Online Edition)
#76
of 3,472 outputs
Outputs of similar age
#4,306
of 270,648 outputs
Outputs of similar age from Genome Biology (Online Edition)
#1
of 1 outputs
Altmetric has tracked 16,414,025 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,472 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.2. This one has done particularly well, scoring higher than 97% 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 270,648 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 98% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them