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Regions of common inter-individual DNA methylation differences in human monocytes: genetic basis and potential function

Overview of attention for article published in Epigenetics & Chromatin, July 2017
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  • Above-average Attention Score compared to outputs of the same age (64th percentile)
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Title
Regions of common inter-individual DNA methylation differences in human monocytes: genetic basis and potential function
Published in
Epigenetics & Chromatin, July 2017
DOI 10.1186/s13072-017-0144-2
Pubmed ID
Authors

Christopher Schröder, Elsa Leitão, Stefan Wallner, Gerd Schmitz, Ludger Klein-Hitpass, Anupam Sinha, Karl-Heinz Jöckel, Stefanie Heilmann-Heimbach, Per Hoffmann, Markus M. Nöthen, Michael Steffens, Peter Ebert, Sven Rahmann, Bernhard Horsthemke

Abstract

There is increasing evidence for inter-individual methylation differences at CpG dinucleotides in the human genome, but the regional extent and function of these differences have not yet been studied in detail. For identifying regions of common methylation differences, we used whole genome bisulfite sequencing data of monocytes from five donors and a novel bioinformatic strategy. We identified 157 differentially methylated regions (DMRs) with four or more CpGs, almost none of which has been described before. The DMRs fall into different chromatin states, where methylation is inversely correlated with active, but not repressive histone marks. However, methylation is not correlated with the expression of associated genes. High-resolution single nucleotide polymorphism (SNP) genotyping of the five donors revealed evidence for a role of cis-acting genetic variation in establishing methylation patterns. To validate this finding in a larger cohort, we performed genome-wide association studies (GWAS) using SNP genotypes and 450k array methylation data from blood samples of 1128 individuals. Only 30/157 (19%) DMRs include at least one 450k CpG, which shows that these arrays miss a large proportion of DNA methylation variation. In most cases, the GWAS peak overlapped the CpG position, and these regions are enriched for CREB group, NF-1, Sp100 and CTCF binding motifs. In two cases, there was tentative evidence for a trans-effect by KRAB zinc finger proteins. Allele-specific DNA methylation occurs in discrete chromosomal regions and is driven by genetic variation in cis and trans, but in general has little effect on gene expression.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 41 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 20%
Student > Ph. D. Student 7 17%
Student > Master 5 12%
Student > Bachelor 4 10%
Other 3 7%
Other 7 17%
Unknown 7 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 14 34%
Biochemistry, Genetics and Molecular Biology 9 22%
Medicine and Dentistry 5 12%
Nursing and Health Professions 2 5%
Pharmacology, Toxicology and Pharmaceutical Science 1 2%
Other 4 10%
Unknown 6 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 04 October 2017.
All research outputs
#6,965,863
of 22,994,508 outputs
Outputs from Epigenetics & Chromatin
#285
of 568 outputs
Outputs of similar age
#110,545
of 317,087 outputs
Outputs of similar age from Epigenetics & Chromatin
#9
of 13 outputs
Altmetric has tracked 22,994,508 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 568 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.7. This one is in the 49th percentile – i.e., 49% 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 317,087 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.