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Concordant and discordant DNA methylation signatures of aging in human blood and brain

Overview of attention for article published in Epigenetics & Chromatin, May 2015
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#19 of 616)
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

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1 blog
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28 X users
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2 Facebook pages

Citations

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137 Dimensions

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144 Mendeley
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1 CiteULike
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Title
Concordant and discordant DNA methylation signatures of aging in human blood and brain
Published in
Epigenetics & Chromatin, May 2015
DOI 10.1186/s13072-015-0011-y
Pubmed ID
Authors

Pau Farré, Meaghan J Jones, Michael J Meaney, Eldon Emberly, Gustavo Turecki, Michael S Kobor

Abstract

DNA methylation is an epigenetic mark that balances plasticity with stability. While DNA methylation exhibits tissue specificity, it can also vary with age and potentially environmental exposures. In studies of DNA methylation, samples from specific tissues, especially brain, are frequently limited and so surrogate tissues are often used. As yet, we do not fully understand how DNA methylation profiles of these surrogate tissues relate to the profiles of the central tissue of interest. We have adapted principal component analysis to analyze data from the Illumina 450K Human Methylation array using a set of 17 individuals with 3 brain regions and whole blood. All of the top five principal components in our analysis were associated with a variable of interest: principal component 1 (PC1) differentiated brain from blood, PCs 2 and 3 were representative of tissue composition within brain and blood, respectively, and PCs 4 and 5 were associated with age of the individual (PC4 in brain and PC5 in both brain and blood). We validated our age-related PCs in four independent sample sets, including additional brain and blood samples and liver and buccal cells. Gene ontology analysis of all five PCs showed enrichment for processes that inform on the functions of each PC. Principal component analysis (PCA) allows simultaneous and independent analysis of tissue composition and other phenotypes of interest. We discovered an epigenetic signature of age that is not associated with cell type composition and required no correction for cellular heterogeneity.

X Demographics

X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 144 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Germany 1 <1%
Unknown 142 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 29 20%
Student > Ph. D. Student 26 18%
Student > Master 15 10%
Student > Bachelor 12 8%
Student > Doctoral Student 8 6%
Other 27 19%
Unknown 27 19%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 33 23%
Agricultural and Biological Sciences 32 22%
Neuroscience 12 8%
Medicine and Dentistry 10 7%
Psychology 7 5%
Other 15 10%
Unknown 35 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 26. 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 31 January 2024.
All research outputs
#1,512,965
of 25,608,265 outputs
Outputs from Epigenetics & Chromatin
#19
of 616 outputs
Outputs of similar age
#18,576
of 279,272 outputs
Outputs of similar age from Epigenetics & Chromatin
#2
of 10 outputs
Altmetric has tracked 25,608,265 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 616 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. 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 279,272 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 93% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 8 of them.