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A Novel Genetic Variant in Long Non-coding RNA Gene NEXN-AS1 is Associated with Risk of Lung Cancer

Overview of attention for article published in Scientific Reports, October 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (81st percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

blogs
1 blog
twitter
4 tweeters

Citations

dimensions_citation
31 Dimensions

Readers on

mendeley
47 Mendeley
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Title
A Novel Genetic Variant in Long Non-coding RNA Gene NEXN-AS1 is Associated with Risk of Lung Cancer
Published in
Scientific Reports, October 2016
DOI 10.1038/srep34234
Pubmed ID
Authors

Hua Yuan, Hongliang Liu, Zhensheng Liu, Kouros Owzar, Younghun Han, Li Su, Yongyue Wei, Rayjean J. Hung, John McLaughlin, Yonathan Brhane, Paul Brennan, Heike Bickeboeller, Albert Rosenberger, Richard S. Houlston, Neil Caporaso, Maria Teresa Landi, Joachim Heinrich, Angela Risch, David C. Christiani, Zeynep H. Gümüş, Robert J. Klein, Christopher I. Amos, Qingyi Wei

Abstract

Lung cancer etiology is multifactorial, and growing evidence has indicated that long non-coding RNAs (lncRNAs) are important players in lung carcinogenesis. We performed a large-scale meta-analysis of 690,564 SNPs in 15,531 autosomal lncRNAs by using datasets from six previously published genome-wide association studies (GWASs) from the Transdisciplinary Research in Cancer of the Lung (TRICL) consortium in populations of European ancestry. Previously unreported significant SNPs (P value < 1 × 10(-7)) were further validated in two additional independent lung cancer GWAS datasets from Harvard University and deCODE. In the final meta-analysis of all eight GWAS datasets with 17,153 cases and 239,337 controls, a novel risk SNP rs114020893 in the lncRNA NEXN-AS1 region at 1p31.1 remained statistically significant (odds ratio = 1.17; 95% confidence interval = 1.11-1.24; P = 8.31 × 10(-9)). In further in silico analysis, rs114020893 was predicted to change the secondary structure of the lncRNA. Our finding indicates that SNP rs114020893 of NEXN-AS1 at 1p31.1 may contribute to lung cancer susceptibility.

Twitter Demographics

The data shown below were collected from the profiles of 4 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 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Sweden 1 2%
South Africa 1 2%
Unknown 45 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 28%
Student > Ph. D. Student 8 17%
Professor 4 9%
Student > Master 4 9%
Other 3 6%
Other 8 17%
Unknown 7 15%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 14 30%
Medicine and Dentistry 13 28%
Computer Science 2 4%
Agricultural and Biological Sciences 2 4%
Chemical Engineering 1 2%
Other 6 13%
Unknown 9 19%

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 11 October 2016.
All research outputs
#1,055,895
of 8,503,169 outputs
Outputs from Scientific Reports
#8,017
of 38,221 outputs
Outputs of similar age
#46,671
of 253,331 outputs
Outputs of similar age from Scientific Reports
#755
of 3,023 outputs
Altmetric has tracked 8,503,169 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 38,221 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.8. This one has done well, scoring higher than 78% 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 253,331 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 81% of its contemporaries.
We're also able to compare this research output to 3,023 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.