↓ Skip to main content

Epigenetic supersimilarity of monozygotic twin pairs

Overview of attention for article published in Genome Biology, January 2018
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

news
14 news outlets
blogs
2 blogs
twitter
119 X users
facebook
3 Facebook pages
googleplus
1 Google+ user
reddit
1 Redditor

Citations

dimensions_citation
84 Dimensions

Readers on

mendeley
157 Mendeley
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
Epigenetic supersimilarity of monozygotic twin pairs
Published in
Genome Biology, January 2018
DOI 10.1186/s13059-017-1374-0
Pubmed ID
Authors

Timothy E. Van Baak, Cristian Coarfa, Pierre-Antoine Dugué, Giovanni Fiorito, Eleonora Laritsky, Maria S. Baker, Noah J. Kessler, Jianrong Dong, Jack D. Duryea, Matt J. Silver, Ayden Saffari, Andrew M. Prentice, Sophie E. Moore, Akram Ghantous, Michael N. Routledge, Yun Yun Gong, Zdenko Herceg, Paolo Vineis, Gianluca Severi, John L. Hopper, Melissa C. Southey, Graham G. Giles, Roger L. Milne, Robert A. Waterland

Abstract

Monozygotic twins have long been studied to estimate heritability and explore epigenetic influences on phenotypic variation. The phenotypic and epigenetic similarities of monozygotic twins have been assumed to be largely due to their genetic identity. Here, by analyzing data from a genome-scale study of DNA methylation in monozygotic and dizygotic twins, we identified genomic regions at which the epigenetic similarity of monozygotic twins is substantially greater than can be explained by their genetic identity. This "epigenetic supersimilarity" apparently results from locus-specific establishment of epigenotype prior to embryo cleavage during twinning. Epigenetically supersimilar loci exhibit systemic interindividual epigenetic variation and plasticity to periconceptional environment and are enriched in sub-telomeric regions. In case-control studies nested in a prospective cohort, blood DNA methylation at these loci years before diagnosis is associated with risk of developing several types of cancer. These results establish a link between early embryonic epigenetic development and adult disease. More broadly, epigenetic supersimilarity is a previously unrecognized phenomenon that may contribute to the phenotypic similarity of monozygotic twins.

X Demographics

X Demographics

The data shown below were collected from the profiles of 119 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 157 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 157 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 35 22%
Student > Ph. D. Student 27 17%
Student > Master 14 9%
Professor 10 6%
Student > Bachelor 10 6%
Other 23 15%
Unknown 38 24%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 49 31%
Agricultural and Biological Sciences 26 17%
Medicine and Dentistry 12 8%
Neuroscience 5 3%
Psychology 4 3%
Other 20 13%
Unknown 41 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 180. 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 20 March 2023.
All research outputs
#224,402
of 25,523,622 outputs
Outputs from Genome Biology
#74
of 4,486 outputs
Outputs of similar age
#5,141
of 451,753 outputs
Outputs of similar age from Genome Biology
#2
of 43 outputs
Altmetric has tracked 25,523,622 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,486 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 particularly well, scoring higher than 98% 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 451,753 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 98% of its contemporaries.
We're also able to compare this research output to 43 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.