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Novel regional age-associated DNA methylation changes within human common disease-associated loci

Overview of attention for article published in Genome Biology, September 2016
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#31 of 4,467)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

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31 news outlets
blogs
1 blog
twitter
17 X users
facebook
2 Facebook pages

Citations

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34 Dimensions

Readers on

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76 Mendeley
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1 CiteULike
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Title
Novel regional age-associated DNA methylation changes within human common disease-associated loci
Published in
Genome Biology, September 2016
DOI 10.1186/s13059-016-1051-8
Pubmed ID
Authors

Christopher G. Bell, Yudong Xia, Wei Yuan, Fei Gao, Kirsten Ward, Leonie Roos, Massimo Mangino, Pirro G. Hysi, Jordana Bell, Jun Wang, Timothy D. Spector

Abstract

Advancing age progressively impacts on risk and severity of chronic disease. It also modifies the epigenome, with changes in DNA methylation, due to both random drift and variation within specific functional loci. In a discovery set of 2238 peripheral-blood genome-wide DNA methylomes aged 19-82 years, we identify 71 age-associated differentially methylated regions within the linkage disequilibrium blocks of the single nucleotide polymorphisms from the NIH genome-wide association study catalogue. This included 52 novel regions, 29 within loci not covered by 450 k or 27 k Illumina array, and with enrichment for DNase-I Hypersensitivity sites across the full range of tissues. These age-associated differentially methylated regions also show marked enrichment for enhancers and poised promoters across multiple cell types. In a replication set of 2084 DNA methylomes, 95.7 % of the age-associated differentially methylated regions showed the same direction of ageing effect, with 80.3 % and 53.5 % replicated to p < 0.05 and p < 1.85 × 10(-8), respectively. By analysing the functionally enriched disease and trait-associated regions of the human genome, we identify novel epigenetic ageing changes, which could be useful biomarkers or provide mechanistic insights into age-related common diseases.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
France 1 1%
Germany 1 1%
Unknown 73 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 21 28%
Student > Ph. D. Student 19 25%
Student > Bachelor 7 9%
Professor 6 8%
Student > Master 6 8%
Other 12 16%
Unknown 5 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 30 39%
Biochemistry, Genetics and Molecular Biology 18 24%
Computer Science 4 5%
Medicine and Dentistry 4 5%
Neuroscience 3 4%
Other 10 13%
Unknown 7 9%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 278. 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 30 May 2022.
All research outputs
#127,917
of 25,371,288 outputs
Outputs from Genome Biology
#31
of 4,467 outputs
Outputs of similar age
#2,609
of 329,343 outputs
Outputs of similar age from Genome Biology
#4
of 56 outputs
Altmetric has tracked 25,371,288 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 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 99% 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 329,343 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 99% of its contemporaries.
We're also able to compare this research output to 56 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 92% of its contemporaries.