↓ Skip to main content

Natural variation of histone modification and its impact on gene expression in the rat genome

Overview of attention for article published in Genome Research, May 2014
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

news
2 news outlets
twitter
6 X users
patent
1 patent
googleplus
1 Google+ user

Citations

dimensions_citation
53 Dimensions

Readers on

mendeley
107 Mendeley
citeulike
2 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Natural variation of histone modification and its impact on gene expression in the rat genome
Published in
Genome Research, May 2014
DOI 10.1101/gr.169029.113
Pubmed ID
Authors

Carola Rintisch, Matthias Heinig, Anja Bauerfeind, Sebastian Schafer, Christin Mieth, Giannino Patone, Oliver Hummel, Wei Chen, Stuart Cook, Edwin Cuppen, Maria Colomé-Tatché, Frank Johannes, Ritsert C. Jansen, Helen Neil, Michel Werner, Michal Pravenec, Martin Vingron, Norbert Hubner

Abstract

Histone modifications are epigenetic marks that play fundamental roles in many biological processes including the control of chromatin-mediated regulation of gene expression. Little is known about interindividual variability of histone modification levels across the genome and to what extent they are influenced by genetic variation. We annotated the rat genome with histone modification maps, identified differences in histone trimethyl-lysine levels among strains, and described their underlying genetic basis at the genome-wide scale using ChIP-seq in heart and liver tissues in a panel of rat recombinant inbred and their progenitor strains. We identified extensive variation of histone methylation levels among individuals and mapped hundreds of underlying cis- and trans-acting loci throughout the genome that regulate histone methylation levels in an allele-specific manner. Interestingly, most histone methylation level variation was trans-linked and the most prominent QTL identified influenced H3K4me3 levels at 899 putative promoters throughout the genome in the heart. Cis- acting variation was enriched in binding sites of distinct transcription factors in heart and liver. The integrated analysis of DNA variation together with histone methylation and gene expression levels showed that histoneQTLs are an important predictor of gene expression and that a joint analysis significantly enhanced the prediction of gene expression traits (eQTLs). Our data suggest that genetic variation has a widespread impact on histone trimethylation marks that may help to uncover novel genotype-phenotype relationships.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 107 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 <1%
France 1 <1%
United Kingdom 1 <1%
Spain 1 <1%
United States 1 <1%
Unknown 102 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 26 24%
Researcher 23 21%
Student > Master 11 10%
Student > Bachelor 8 7%
Professor 7 7%
Other 14 13%
Unknown 18 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 45 42%
Biochemistry, Genetics and Molecular Biology 26 24%
Computer Science 7 7%
Medicine and Dentistry 5 5%
Environmental Science 1 <1%
Other 3 3%
Unknown 20 19%
Attention Score in Context

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 17 December 2020.
All research outputs
#1,627,134
of 25,374,917 outputs
Outputs from Genome Research
#738
of 4,425 outputs
Outputs of similar age
#15,911
of 242,213 outputs
Outputs of similar age from Genome Research
#25
of 50 outputs
Altmetric has tracked 25,374,917 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 4,425 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.3. This one has done well, scoring higher than 83% 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 242,213 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 93% of its contemporaries.
We're also able to compare this research output to 50 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.