↓ Skip to main content

Pleiotropic Analysis of Lung Cancer and Blood Triglycerides.

Overview of attention for article published in JNCI: Journal of the National Cancer Institute, August 2016
Altmetric Badge

About this Attention Score

  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
10 X users

Citations

dimensions_citation
22 Dimensions

Readers on

mendeley
52 Mendeley
citeulike
2 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Pleiotropic Analysis of Lung Cancer and Blood Triglycerides.
Published in
JNCI: Journal of the National Cancer Institute, August 2016
DOI 10.1093/jnci/djw167
Pubmed ID
Authors

Verena Zuber, Crystal N Marconett, Jianxin Shi, Xing Hua, William Wheeler, Chenchen Yang, Lei Song, Anders M Dale, Marina Laplana, Angela Risch, Aree Witoelar, Wesley K Thompson, Andrew J Schork, Francesco Bettella, Yunpeng Wang, Srdjan Djurovic, Beiyun Zhou, Zea Borok, Henricus F M van der Heijden, Jacqueline de Graaf, Dorine Swinkels, Katja K Aben, James McKay, Rayjean J Hung, Heike Bikeböller, Victoria L Stevens, Demetrius Albanes, Neil E Caporaso, Younghun Han, Yongyue Wei, Maria Angeles Panadero, Jose I Mayordomo, David C Christiani, Lambertus Kiemeney, Ole A Andreassen, Richard Houlston, Christopher I Amos, Nilanjan Chatterjee, Ite A Laird-Offringa, Ian G Mills, Maria Teresa Landi

Abstract

Epidemiologically related traits may share genetic risk factors, and pleiotropic analysis could identify individual loci associated with these traits. Because of their shared epidemiological associations, we conducted pleiotropic analysis of genome-wide association studies of lung cancer (12 160 lung cancer case patients and 16 838 control subjects) and cardiovascular disease risk factors (blood lipids from 188 577 subjects, type 2 diabetes from 148 821 subjects, body mass index from 123 865 subjects, and smoking phenotypes from 74 053 subjects). We found that 6p22.1 (rs6904596, ZNF184) was associated with both lung cancer (P = 5.50x10(-6)) and blood triglycerides (P = 1.39x10(-5)). We replicated the association in 6097 lung cancer case patients and 204 657 control subjects (P = 2.40 × 10(-4)) and in 71 113 subjects with triglycerides data (P = .01). rs6904596 reached genome-wide significance in lung cancer meta-analysis (odds ratio = 1.15, 95% confidence interval = 1.10 to 1.21 ,: Pcombined = 5.20x10(-9)). The large sample size provided by the lipid GWAS data and the shared genetic risk factors between the two traits contributed to the uncovering of a hitherto unidentified genetic locus for lung cancer.

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 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 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 52 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 15%
Student > Ph. D. Student 7 13%
Professor 5 10%
Student > Bachelor 4 8%
Other 4 8%
Other 8 15%
Unknown 16 31%
Readers by discipline Count As %
Medicine and Dentistry 13 25%
Biochemistry, Genetics and Molecular Biology 6 12%
Agricultural and Biological Sciences 3 6%
Economics, Econometrics and Finance 2 4%
Neuroscience 2 4%
Other 8 15%
Unknown 18 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 20 July 2017.
All research outputs
#6,567,930
of 25,756,911 outputs
Outputs from JNCI: Journal of the National Cancer Institute
#3,691
of 7,882 outputs
Outputs of similar age
#94,626
of 350,990 outputs
Outputs of similar age from JNCI: Journal of the National Cancer Institute
#23
of 41 outputs
Altmetric has tracked 25,756,911 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 7,882 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.4. This one has gotten more attention than average, scoring higher than 52% 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 350,990 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.
We're also able to compare this research output to 41 others from the same source and published within six weeks on either side of this one. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.