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DNA methylation age of blood predicts all-cause mortality in later life

Overview of attention for article published in Genome Biology, January 2015
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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 (#17 of 4,484)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

news
29 news outlets
blogs
13 blogs
twitter
105 X users
patent
41 patents
facebook
15 Facebook pages
wikipedia
7 Wikipedia pages
googleplus
3 Google+ users

Citations

dimensions_citation
940 Dimensions

Readers on

mendeley
902 Mendeley
citeulike
4 CiteULike
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Title
DNA methylation age of blood predicts all-cause mortality in later life
Published in
Genome Biology, January 2015
DOI 10.1186/s13059-015-0584-6
Pubmed ID
Authors

Riccardo E Marioni, Sonia Shah, Allan F McRae, Brian H Chen, Elena Colicino, Sarah E Harris, Jude Gibson, Anjali K Henders, Paul Redmond, Simon R Cox, Alison Pattie, Janie Corley, Lee Murphy, Nicholas G Martin, Grant W Montgomery, Andrew P Feinberg, M Daniele Fallin, Michael L Multhaup, Andrew E Jaffe, Roby Joehanes, Joel Schwartz, Allan C Just, Kathryn L Lunetta, Joanne M Murabito, John M Starr, Steve Horvath, Andrea A Baccarelli, Daniel Levy, Peter M Visscher, Naomi R Wray, Ian J Deary

Abstract

BackgroundDNA methylation levels change with age. Recent studies have identified biomarkers of chronological age based on DNA methylation levels. It is not yet known whether DNA methylation age captures aspects of biological age.ResultsHere we test whether differences between people¿s chronological ages and estimated ages, DNA methylation age, predict all-cause mortality in later life. The difference between DNA methylation age and chronological age, (¿age), was calculated in four longitudinal cohorts of older people. Meta-analysis of proportional hazards models from the four cohorts was used to determine the association between ¿age and mortality. A 5-year higher ¿age is associated with a 21% higher mortality risk, adjusting for age and sex. After further adjustments for childhood IQ, education, social class, hypertension, diabetes, cardiovascular disease, and APOE e4 status, there is a 16% increased mortality risk for those with a 5-year higher ¿age. A pedigree-based heritability analysis of ¿age was conducted in a separate cohort. The heritability of ¿age was 0.43.ConclusionsDNA methylation-derived measures of accelerated ageing are heritable traits that predict mortality independently of health status, lifestyle factors, and known genetic factors.

X Demographics

X Demographics

The data shown below were collected from the profiles of 105 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 902 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 9 <1%
Germany 3 <1%
United Kingdom 3 <1%
Spain 2 <1%
Sweden 2 <1%
Uruguay 1 <1%
Austria 1 <1%
Czechia 1 <1%
France 1 <1%
Other 5 <1%
Unknown 874 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 184 20%
Student > Ph. D. Student 177 20%
Student > Bachelor 85 9%
Student > Master 81 9%
Professor 49 5%
Other 166 18%
Unknown 160 18%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 214 24%
Agricultural and Biological Sciences 187 21%
Medicine and Dentistry 107 12%
Neuroscience 39 4%
Psychology 37 4%
Other 116 13%
Unknown 202 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 360. 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 05 March 2024.
All research outputs
#89,329
of 25,508,813 outputs
Outputs from Genome Biology
#17
of 4,484 outputs
Outputs of similar age
#928
of 362,098 outputs
Outputs of similar age from Genome Biology
#3
of 65 outputs
Altmetric has tracked 25,508,813 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 4,484 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 362,098 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 65 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 96% of its contemporaries.