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DNA Methylation variability among individuals is related to CpGs cluster density and evolutionary signatures

Overview of attention for article published in BMC Genomics, April 2018
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Title
DNA Methylation variability among individuals is related to CpGs cluster density and evolutionary signatures
Published in
BMC Genomics, April 2018
DOI 10.1186/s12864-018-4618-9
Pubmed ID
Authors

Domenico Palumbo, Ornella Affinito, Antonella Monticelli, Sergio Cocozza

Abstract

In recent years, epigenetics has gained a central role in the understanding of the process of natural selection. It is now clear how environmental impacts on the methylome could promote methylation variability with direct effects on disease etiology as well as phenotypic and genotypic variations in evolutionary processes. To identify possible factors influencing inter-individual methylation variability, we studied methylation values standard deviation of 166 healthy individuals searching for possible associations with genomic features and evolutionary signatures. We analyzed methylation variability values in relation to CpG cluster density and we found a strong association between them (p-value < 2.2 × 10- 16). Furthermore, we found that genes related to CpGs with high methylation variability values were enriched for immunological pathways; instead, those associated with low ones were enriched for pathways related to basic cellular functions. Finally, we found an association between methylation variability values and signals of both ancient (p-value < 2.2 × 10- 16) and recent selective pressure (p-value < 1 × 10- 4). Our results indicate the presence of an intricate interplay between genetics, epigenetic code and evolutionary constraints in humans.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 64 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 28%
Researcher 16 25%
Student > Master 7 11%
Student > Doctoral Student 5 8%
Student > Bachelor 2 3%
Other 3 5%
Unknown 13 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 18 28%
Biochemistry, Genetics and Molecular Biology 12 19%
Medicine and Dentistry 4 6%
Neuroscience 3 5%
Computer Science 2 3%
Other 8 13%
Unknown 17 27%
Attention Score in Context

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 01 March 2020.
All research outputs
#14,102,773
of 23,041,514 outputs
Outputs from BMC Genomics
#5,380
of 10,697 outputs
Outputs of similar age
#180,088
of 328,966 outputs
Outputs of similar age from BMC Genomics
#96
of 206 outputs
Altmetric has tracked 23,041,514 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,697 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 46th percentile – i.e., 46% 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 328,966 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 206 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.