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Tissue-Specific Effects of Genetic and Epigenetic Variation on Gene Regulation and Splicing

Overview of attention for article published in PLoS Genetics, January 2015
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (87th percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

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1 blog
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3 Facebook pages

Citations

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191 Dimensions

Readers on

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344 Mendeley
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4 CiteULike
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Title
Tissue-Specific Effects of Genetic and Epigenetic Variation on Gene Regulation and Splicing
Published in
PLoS Genetics, January 2015
DOI 10.1371/journal.pgen.1004958
Pubmed ID
Authors

Maria Gutierrez-Arcelus, Halit Ongen, Tuuli Lappalainen, Stephen B. Montgomery, Alfonso Buil, Alisa Yurovsky, Julien Bryois, Ismael Padioleau, Luciana Romano, Alexandra Planchon, Emilie Falconnet, Deborah Bielser, Maryline Gagnebin, Thomas Giger, Christelle Borel, Audrey Letourneau, Periklis Makrythanasis, Michel Guipponi, Corinne Gehrig, Stylianos E. Antonarakis, Emmanouil T. Dermitzakis

Abstract

Understanding how genetic variation affects distinct cellular phenotypes, such as gene expression levels, alternative splicing and DNA methylation levels, is essential for better understanding of complex diseases and traits. Furthermore, how inter-individual variation of DNA methylation is associated to gene expression is just starting to be studied. In this study, we use the GenCord cohort of 204 newborn Europeans' lymphoblastoid cell lines, T-cells and fibroblasts derived from umbilical cords. The samples were previously genotyped for 2.5 million SNPs, mRNA-sequenced, and assayed for methylation levels in 482,421 CpG sites. We observe that methylation sites associated to expression levels are enriched in enhancers, gene bodies and CpG island shores. We show that while the correlation between DNA methylation and gene expression can be positive or negative, it is very consistent across cell-types. However, this epigenetic association to gene expression appears more tissue-specific than the genetic effects on gene expression or DNA methylation (observed in both sharing estimations based on P-values and effect size correlations between cell-types). This predominance of genetic effects can also be reflected by the observation that allele specific expression differences between individuals dominate over tissue-specific effects. Additionally, we discover genetic effects on alternative splicing and interestingly, a large amount of DNA methylation correlating to alternative splicing, both in a tissue-specific manner. The locations of the SNPs and methylation sites involved in these associations highlight the participation of promoter proximal and distant regulatory regions on alternative splicing. Overall, our results provide high-resolution analyses showing how genome sequence variation has a broad effect on cellular phenotypes across cell-types, whereas epigenetic factors provide a secondary layer of variation that is more tissue-specific. Furthermore, the details of how this tissue-specificity may vary across inter-relations of molecular traits, and where these are occurring, can yield further insights into gene regulation and cellular biology as a whole.

X Demographics

X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 344 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 12 3%
United Kingdom 5 1%
Spain 3 <1%
Norway 2 <1%
Sweden 2 <1%
Japan 2 <1%
Switzerland 1 <1%
Mexico 1 <1%
Nigeria 1 <1%
Other 3 <1%
Unknown 312 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 99 29%
Researcher 82 24%
Student > Master 30 9%
Student > Bachelor 23 7%
Student > Doctoral Student 19 6%
Other 60 17%
Unknown 31 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 149 43%
Biochemistry, Genetics and Molecular Biology 80 23%
Medicine and Dentistry 18 5%
Computer Science 16 5%
Neuroscience 8 2%
Other 20 6%
Unknown 53 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 August 2016.
All research outputs
#3,289,504
of 25,460,914 outputs
Outputs from PLoS Genetics
#2,746
of 8,970 outputs
Outputs of similar age
#44,636
of 362,036 outputs
Outputs of similar age from PLoS Genetics
#40
of 174 outputs
Altmetric has tracked 25,460,914 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,970 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.8. This one has gotten more attention than average, scoring higher than 69% 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 362,036 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 174 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.