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Attention Score in Context
| Title |
Age-related accrual of methylomic variability is linked to fundamental ageing mechanisms
|
|---|---|
| Published in |
Genome Biology, 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, BIOS consortium, 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. |
X Demographics
The data shown below were collected from the profiles of 17 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 2 | 12% |
| United States | 2 | 12% |
| Canada | 2 | 12% |
| United Kingdom | 2 | 12% |
| France | 1 | 6% |
| Spain | 1 | 6% |
| Netherlands | 1 | 6% |
| Unknown | 6 | 35% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 11 | 65% |
| Scientists | 4 | 24% |
| Science communicators (journalists, bloggers, editors) | 2 | 12% |
Mendeley readers
The data shown below were compiled from readership statistics for 210 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 | 208 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 53 | 25% |
| Researcher | 41 | 20% |
| Student > Postgraduate | 27 | 13% |
| Student > Bachelor | 20 | 10% |
| Student > Master | 16 | 8% |
| Other | 27 | 13% |
| Unknown | 26 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 78 | 37% |
| Agricultural and Biological Sciences | 54 | 26% |
| Medicine and Dentistry | 15 | 7% |
| Psychology | 6 | 3% |
| Computer Science | 5 | 2% |
| Other | 19 | 9% |
| Unknown | 33 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 156. 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 03 January 2024.
All research outputs
#262,843
of 25,374,917 outputs
Outputs from Genome Biology
#98
of 4,467 outputs
Outputs of similar age
#5,113
of 328,656 outputs
Outputs of similar age from Genome Biology
#5
of 55 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% 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 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 328,656 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 55 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.