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Intra-individual changes in DNA methylation not mediated by cell-type composition are correlated with aging during childhood

Overview of attention for article published in Clinical Epigenetics, October 2016
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Title
Intra-individual changes in DNA methylation not mediated by cell-type composition are correlated with aging during childhood
Published in
Clinical Epigenetics, October 2016
DOI 10.1186/s13148-016-0277-3
Pubmed ID
Authors

Kristina Gervin, Bettina Kulle Andreassen, Hanne Sagsveen Hjorthaug, Karin C. Lødrup Carlsen, Kai-Håkon Carlsen, Dag Erik Undlien, Robert Lyle, Monica Cheng Munthe-Kaas

Abstract

Several studies have reported age-associated changes in DNA methylation in the first few years of life and in adult populations, but the extent of such changes during childhood is less well studied. The goals of this study were to investigate to what degree intra-individual changes in DNA methylation are associated with aging during childhood and dissect the methylation changes directly associated with aging from the effect mediated through variation in cell-type composition (CTC). We performed reduced representation bisulfite sequencing (RRBS) in peripheral whole-blood samples collected at 2, 10, and 16 years of age. We identified age-associated longitudinal changes in DNA methylation at 346 CpGs in 178 genes. Analyses separating the effect mediated by CTC variability across age identified 26 CpGs located in 12 genes that associated directly with age. Hence, the CTC changes across age appear to act as a mediator of the observed DNA methylation associated with age. The results were replicated using EpiTYPER in a second sample set selected from the same cohort. Gene ontology analyses revealed enrichment of transcriptional regulation and developmental processes. Further, comparisons of the mean DNA methylation differences between the time points reveal greater differences between 2 to 10 years and 10 to 16 years, suggesting that the identified age-associated DNA methylation patterns manifests in early childhood. This study reveals insights into the epigenetic dynamics associated with aging early in life. Such information could ultimately provide clues and point towards molecular pathways that are susceptible to aging-related disease-associated epigenetic dysregulation.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Sweden 1 3%
Unknown 39 98%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 6 15%
Researcher 6 15%
Student > Ph. D. Student 5 13%
Student > Bachelor 5 13%
Student > Master 5 13%
Other 5 13%
Unknown 8 20%
Readers by discipline Count As %
Medicine and Dentistry 10 25%
Biochemistry, Genetics and Molecular Biology 6 15%
Agricultural and Biological Sciences 6 15%
Pharmacology, Toxicology and Pharmaceutical Science 2 5%
Nursing and Health Professions 2 5%
Other 3 8%
Unknown 11 28%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 24 October 2016.
All research outputs
#7,790,502
of 13,524,702 outputs
Outputs from Clinical Epigenetics
#426
of 668 outputs
Outputs of similar age
#141,871
of 291,416 outputs
Outputs of similar age from Clinical Epigenetics
#73
of 86 outputs
Altmetric has tracked 13,524,702 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 668 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one is in the 31st percentile – i.e., 31% of its peers scored the same or lower than it.
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 291,416 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 86 others from the same source and published within six weeks on either side of this one. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.