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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Frailty is associated with the epigenetic clock but not with telomere length in a German cohort
|
|---|---|
| Published in |
Clinical Epigenetics, February 2016
|
| DOI | 10.1186/s13148-016-0186-5 |
| Pubmed ID | |
| Authors |
Lutz Philipp Breitling, Kai-Uwe Saum, Laura Perna, Ben Schöttker, Bernd Holleczek, Hermann Brenner |
| Abstract |
The epigenetic clock, in particular epigenetic pre-aging quantified by the so-called DNA methylation age acceleration, has recently been suggested to closely correlate with a variety of disease phenotypes. There remains a dearth of data, however, on its association with telomere length and frailty, which can be considered major correlates of age on the genomic and clinical level, respectively. In this cross-sectional observational study on altogether 1820 subjects from two subsets (n = 969 and n = 851; mean ± standard deviation age 62.1 ± 6.5 and 63.0 ± 6.7 years, respectively) of the ESTHER cohort study of the elderly general population in Germany, DNA methylation age was calculated based on a 353 loci predictor previously developed in a large meta-study, and the difference-based epigenetic age acceleration was calculated as predicted methylation age minus chronological age. No correlation of epigenetic age acceleration with telomere length was found in our study (p = 0.63). However, there was an association of DNA methylation age acceleration with a comprehensive frailty measure, such that the accumulated deficits significantly increased with increasing age acceleration. Quantitatively, about half an additional deficit was added per 6 years of methylation age acceleration (p = 0.0004). This association was independent from age, sex, and estimated leukocyte distribution, as well as from a variety of other confounding variables considered. The results of the present study suggest that epigenetic age acceleration is correlated with clinically relevant aging-related phenotypes through pathways unrelated to cellular senescence as assessed by telomere length. Innovative approaches like Mendelian randomization will be needed to elucidate whether epigenetic age acceleration indeed plays a causal role for the development of clinical phenotypes. |
X Demographics
The data shown below were collected from the profiles of 20 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 5 | 25% |
| United States | 5 | 25% |
| Canada | 4 | 20% |
| France | 2 | 10% |
| Australia | 1 | 5% |
| Venezuela, Bolivarian Republic of | 1 | 5% |
| Unknown | 2 | 10% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 11 | 55% |
| Scientists | 7 | 35% |
| Practitioners (doctors, other healthcare professionals) | 1 | 5% |
| Science communicators (journalists, bloggers, editors) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 227 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | <1% |
| Brazil | 1 | <1% |
| Unknown | 224 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 46 | 20% |
| Student > Ph. D. Student | 37 | 16% |
| Student > Master | 23 | 10% |
| Student > Bachelor | 19 | 8% |
| Student > Doctoral Student | 14 | 6% |
| Other | 37 | 16% |
| Unknown | 51 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 41 | 18% |
| Biochemistry, Genetics and Molecular Biology | 39 | 17% |
| Agricultural and Biological Sciences | 26 | 11% |
| Psychology | 13 | 6% |
| Neuroscience | 8 | 4% |
| Other | 28 | 12% |
| Unknown | 72 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 23. 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 07 January 2021.
All research outputs
#1,668,911
of 26,017,215 outputs
Outputs from Clinical Epigenetics
#91
of 1,458 outputs
Outputs of similar age
#26,620
of 315,955 outputs
Outputs of similar age from Clinical Epigenetics
#1
of 36 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,458 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.6. This one has done particularly well, scoring higher than 93% 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 315,955 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 91% of its contemporaries.
We're also able to compare this research output to 36 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 97% of its contemporaries.