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Systematic identification of genetic influences on methylation across the human life course

Overview of attention for article published in Genome Biology (Online Edition), March 2016
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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 (92nd percentile)

Mentioned by

blogs
1 blog
twitter
38 tweeters

Citations

dimensions_citation
412 Dimensions

Readers on

mendeley
338 Mendeley
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Title
Systematic identification of genetic influences on methylation across the human life course
Published in
Genome Biology (Online Edition), March 2016
DOI 10.1186/s13059-016-0926-z
Pubmed ID
Authors

Tom R. Gaunt, Hashem A. Shihab, Gibran Hemani, Josine L. Min, Geoff Woodward, Oliver Lyttleton, Jie Zheng, Aparna Duggirala, Wendy L. McArdle, Karen Ho, Susan M. Ring, David M. Evans, George Davey Smith, Caroline L. Relton

Abstract

The influence of genetic variation on complex diseases is potentially mediated through a range of highly dynamic epigenetic processes exhibiting temporal variation during development and later life. Here we present a catalogue of the genetic influences on DNA methylation (methylation quantitative trait loci (mQTL)) at five different life stages in human blood: children at birth, childhood, adolescence and their mothers during pregnancy and middle age. We show that genetic effects on methylation are highly stable across the life course and that developmental change in the genetic contribution to variation in methylation occurs primarily through increases in environmental or stochastic effects. Though we map a large proportion of the cis-acting genetic variation, a much larger component of genetic effects influencing methylation are acting in trans. However, only 7 % of discovered mQTL are trans-effects, suggesting that the trans component is highly polygenic. Finally, we estimate the contribution of mQTL to variation in complex traits and infer that methylation may have a causal role consistent with an infinitesimal model in which many methylation sites each have a small influence, amounting to a large overall contribution. DNA methylation contains a significant heritable component that remains consistent across the lifespan. Our results suggest that the genetic component of methylation may have a causal role in complex traits. The database of mQTL presented here provide a rich resource for those interested in investigating the role of methylation in disease.

Twitter Demographics

The data shown below were collected from the profiles of 38 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 338 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 <1%
Russia 1 <1%
Switzerland 1 <1%
Unknown 334 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 106 31%
Researcher 60 18%
Student > Master 40 12%
Student > Bachelor 26 8%
Student > Doctoral Student 22 7%
Other 39 12%
Unknown 45 13%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 102 30%
Agricultural and Biological Sciences 78 23%
Medicine and Dentistry 27 8%
Neuroscience 15 4%
Computer Science 15 4%
Other 37 11%
Unknown 64 19%

Attention Score in Context

This research output has an Altmetric Attention Score of 28. 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 22 July 2017.
All research outputs
#1,153,381
of 22,469,480 outputs
Outputs from Genome Biology (Online Edition)
#991
of 4,085 outputs
Outputs of similar age
#20,802
of 282,078 outputs
Outputs of similar age from Genome Biology (Online Edition)
#1
of 1 outputs
Altmetric has tracked 22,469,480 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,085 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has done well, scoring higher than 75% 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 282,078 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 92% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them