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Variants near TERT and TERC influencing telomere length are associated with high-grade glioma risk

Overview of attention for article published in Nature Genetics, June 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 (98th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

news
10 news outlets
blogs
3 blogs
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16 X users
patent
1 patent
peer_reviews
1 peer review site
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2 weibo users
facebook
3 Facebook pages

Citations

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164 Dimensions

Readers on

mendeley
163 Mendeley
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1 CiteULike
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Title
Variants near TERT and TERC influencing telomere length are associated with high-grade glioma risk
Published in
Nature Genetics, June 2014
DOI 10.1038/ng.3004
Pubmed ID
Authors

Kyle M Walsh, Veryan Codd, Ivan V Smirnov, Terri Rice, Paul A Decker, Helen M Hansen, Thomas Kollmeyer, Matthew L Kosel, Annette M Molinaro, Lucie S McCoy, Paige M Bracci, Belinda S Cabriga, Melike Pekmezci, Shichun Zheng, Joseph L Wiemels, Alexander R Pico, Tarik Tihan, Mitchell S Berger, Susan M Chang, Michael D Prados, Daniel H Lachance, Brian Patrick O'Neill, Hugues Sicotte, Jeanette E Eckel-Passow, Pim van der Harst, John K Wiencke, Nilesh J Samani, Robert B Jenkins, Margaret R Wrensch

Abstract

Glioma, the most common central nervous system cancer in adults, has poor prognosis. Here we identify a new SNP associated with glioma risk, rs1920116 (near TERC), that reached genome-wide significance (Pcombined = 8.3 × 10(-9)) in a meta-analysis of genome-wide association studies (GWAS) of high-grade glioma and replication data (1,644 cases and 7,736 controls). This region has previously been associated with mean leukocyte telomere length (LTL). We therefore examined the relationship between LTL and both this new risk locus and other previously established risk loci for glioma using data from a recent GWAS of LTL (n = 37,684 individuals). Alleles associated with glioma risk near TERC and TERT were strongly associated with longer LTL (P = 5.5 × 10(-20) and 4.4 × 10(-19), respectively). In contrast, risk-associated alleles near RTEL1 were inconsistently associated with LTL, suggesting the presence of distinct causal alleles. No other risk loci for glioma were associated with LTL. The identification of risk alleles for glioma near TERC and TERT that also associate with telomere length implicates telomerase in gliomagenesis.

X Demographics

X Demographics

The data shown below were collected from the profiles of 16 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 163 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 1%
Finland 1 <1%
Netherlands 1 <1%
Brazil 1 <1%
Unknown 158 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 39 24%
Student > Ph. D. Student 33 20%
Student > Master 18 11%
Student > Bachelor 16 10%
Student > Doctoral Student 7 4%
Other 26 16%
Unknown 24 15%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 39 24%
Agricultural and Biological Sciences 38 23%
Medicine and Dentistry 32 20%
Neuroscience 7 4%
Engineering 3 2%
Other 9 6%
Unknown 35 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 100. 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 07 December 2021.
All research outputs
#428,900
of 26,017,215 outputs
Outputs from Nature Genetics
#872
of 7,639 outputs
Outputs of similar age
#3,632
of 247,306 outputs
Outputs of similar age from Nature Genetics
#11
of 63 outputs
Altmetric has tracked 26,017,215 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 7,639 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 43.7. This one has done well, scoring higher than 88% 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 247,306 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 63 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.