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Linkage of DNA Methylation Quantitative Trait Loci to Human Cancer Risk

Overview of attention for article published in Cell Reports, April 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 (95th percentile)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

Mentioned by

news
3 news outlets
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19 X users
patent
1 patent
facebook
2 Facebook pages

Citations

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76 Dimensions

Readers on

mendeley
137 Mendeley
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1 CiteULike
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Title
Linkage of DNA Methylation Quantitative Trait Loci to Human Cancer Risk
Published in
Cell Reports, April 2014
DOI 10.1016/j.celrep.2014.03.016
Pubmed ID
Authors

Holger Heyn, Sergi Sayols, Catia Moutinho, Enrique Vidal, Jose V. Sanchez-Mut, Olafur A. Stefansson, Ernest Nadal, Sebastian Moran, Jorunn E. Eyfjord, Eva Gonzalez-Suarez, Miguel Angel Pujana, Manel Esteller

Abstract

Epigenetic regulation and, in particular, DNA methylation have been linked to the underlying genetic sequence. DNA methylation quantitative trait loci (meQTL) have been identified through significant associations between the genetic and epigenetic codes in physiological and pathological contexts. We propose that interrogating the interplay between polymorphic alleles and DNA methylation is a powerful method for improving our interpretation of risk alleles identified in genome-wide association studies that otherwise lack mechanistic explanation. We integrated patient cancer risk genotype data and genome-scale DNA methylation profiles of 3,649 primary human tumors, representing 13 solid cancer types. We provide a comprehensive meQTL catalog containing DNA methylation associations for 21% of interrogated cancer risk polymorphisms. Differentially methylated loci harbor previously reported and as-yet-unidentified cancer genes. We suggest that such regulation at the DNA level can provide a considerable amount of new information about the biology of cancer-risk alleles.

X Demographics

X Demographics

The data shown below were collected from the profiles of 19 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 137 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Italy 3 2%
United States 3 2%
Canada 1 <1%
Uruguay 1 <1%
Spain 1 <1%
Iran, Islamic Republic of 1 <1%
Unknown 127 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 44 32%
Researcher 23 17%
Student > Master 14 10%
Student > Bachelor 12 9%
Student > Postgraduate 7 5%
Other 18 13%
Unknown 19 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 47 34%
Biochemistry, Genetics and Molecular Biology 33 24%
Medicine and Dentistry 10 7%
Computer Science 5 4%
Neuroscience 5 4%
Other 14 10%
Unknown 23 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 35. 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 16 August 2022.
All research outputs
#1,173,271
of 25,654,806 outputs
Outputs from Cell Reports
#2,695
of 13,165 outputs
Outputs of similar age
#11,194
of 239,201 outputs
Outputs of similar age from Cell Reports
#35
of 168 outputs
Altmetric has tracked 25,654,806 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,165 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 30.2. This one has done well, scoring higher than 79% 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 239,201 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 95% of its contemporaries.
We're also able to compare this research output to 168 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.