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Epigenetics of discordant monozygotic twins: implications for disease

Overview of attention for article published in Genome Medicine, July 2014
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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 (96th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

news
2 news outlets
blogs
2 blogs
twitter
17 tweeters
facebook
1 Facebook page
googleplus
1 Google+ user

Citations

dimensions_citation
75 Dimensions

Readers on

mendeley
145 Mendeley
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Title
Epigenetics of discordant monozygotic twins: implications for disease
Published in
Genome Medicine, July 2014
DOI 10.1186/s13073-014-0060-z
Pubmed ID
Authors

Juan E Castillo-Fernandez, Tim D Spector, Jordana T Bell

Abstract

Monozygotic (MZ) twins share nearly all of their genetic variants and many similar environments before and after birth. However, they can also show phenotypic discordance for a wide range of traits. Differences at the epigenetic level may account for such discordances. It is well established that epigenetic states can contribute to phenotypic variation, including disease. Epigenetic states are dynamic and potentially reversible marks involved in gene regulation, which can be influenced by genetics, environment, and stochastic events. Here, we review advances in epigenetic studies of discordant MZ twins, focusing on disease. The study of epigenetics and disease using discordant MZ twins offers the opportunity to control for many potential confounders encountered in general population studies, such as differences in genetic background, early-life environmental exposure, age, gender, and cohort effects. Recently, analysis of disease-discordant MZ twins has been successfully used to study epigenetic mechanisms in aging, cancer, autoimmune disease, psychiatric, neurological, and multiple other traits. Epigenetic aberrations have been found in a range of phenotypes, and challenges have been identified, including sampling time, tissue specificity, validation, and replication. The results have relevance for personalized medicine approaches, including the identification of prognostic, diagnostic, and therapeutic targets. The findings also help to identify epigenetic markers of environmental risk and molecular mechanisms involved in disease and disease progression, which have implications both for understanding disease and for future medical research.

Twitter Demographics

The data shown below were collected from the profiles of 17 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 145 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 2 1%
United Kingdom 1 <1%
Luxembourg 1 <1%
Unknown 141 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 38 26%
Student > Bachelor 25 17%
Researcher 22 15%
Student > Master 20 14%
Unspecified 9 6%
Other 31 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 54 37%
Biochemistry, Genetics and Molecular Biology 25 17%
Medicine and Dentistry 24 17%
Unspecified 11 8%
Neuroscience 9 6%
Other 22 15%

Attention Score in Context

This research output has an Altmetric Attention Score of 50. 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 26 November 2018.
All research outputs
#324,115
of 13,013,072 outputs
Outputs from Genome Medicine
#70
of 937 outputs
Outputs of similar age
#5,870
of 191,779 outputs
Outputs of similar age from Genome Medicine
#2
of 23 outputs
Altmetric has tracked 13,013,072 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 937 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 22.5. This one has done particularly well, scoring higher than 92% 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 191,779 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 96% of its contemporaries.
We're also able to compare this research output to 23 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 91% of its contemporaries.