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Evidence of a Causal Association Between Insulinemia and Endometrial Cancer: A Mendelian Randomization Analysis

Overview of attention for article published in JNCI: Journal of the National Cancer Institute, July 2015
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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 (85th percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

Mentioned by

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1 policy source
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12 X users
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3 Facebook pages
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1 YouTube creator

Citations

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136 Dimensions

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133 Mendeley
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Title
Evidence of a Causal Association Between Insulinemia and Endometrial Cancer: A Mendelian Randomization Analysis
Published in
JNCI: Journal of the National Cancer Institute, July 2015
DOI 10.1093/jnci/djv178
Pubmed ID
Authors

Kevin T. Nead, Stephen J. Sharp, Deborah J. Thompson, Jodie N. Painter, David B. Savage, Robert K. Semple, Adam Barker, John R. B. Perry, John Attia, Alison M. Dunning, Douglas F. Easton, Elizabeth Holliday, Luca A. Lotta, Tracy O’Mara, Mark McEvoy, Paul D. P. Pharoah, Rodney J. Scott, Amanda B. Spurdle, Claudia Langenberg, Nicholas J. Wareham, Robert A. Scott

Abstract

Insulinemia and type 2 diabetes (T2D) have been associated with endometrial cancer risk in numerous observational studies. However, the causality of these associations is uncertain. Here we use a Mendelian randomization (MR) approach to assess whether insulinemia and T2D are causally associated with endometrial cancer. We used single nucleotide polymorphisms (SNPs) associated with T2D (49 variants), fasting glucose (36 variants), fasting insulin (18 variants), early insulin secretion (17 variants), and body mass index (BMI) (32 variants) as instrumental variables in MR analyses. We calculated MR estimates for each risk factor with endometrial cancer using an inverse-variance weighted method with SNP-endometrial cancer associations from 1287 case patients and 8273 control participants. Genetically predicted higher fasting insulin levels were associated with greater risk of endometrial cancer (odds ratio [OR] per standard deviation = 2.34, 95% confidence internal [CI] = 1.06 to 5.14, P = .03). Consistently, genetically predicted higher 30-minute postchallenge insulin levels were also associated with endometrial cancer risk (OR = 1.40, 95% CI = 1.12 to 1.76, P = .003). We observed no associations between genetic risk of type 2 diabetes (OR = 0.91, 95% CI = 0.79 to 1.04, P = .16) or higher fasting glucose (OR = 1.00, 95% CI = 0.67 to 1.50, P = .99) and endometrial cancer. In contrast, endometrial cancer risk was higher in individuals with genetically predicted higher BMI (OR = 3.86, 95% CI = 2.24 to 6.64, P = 1.2x10(-6)). This study provides evidence to support a causal association of higher insulin levels, independently of BMI, with endometrial cancer risk.

X Demographics

X Demographics

The data shown below were collected from the profiles of 12 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 133 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Belgium 1 <1%
Unknown 132 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 26 20%
Student > Ph. D. Student 16 12%
Student > Doctoral Student 11 8%
Student > Bachelor 10 8%
Student > Master 10 8%
Other 24 18%
Unknown 36 27%
Readers by discipline Count As %
Medicine and Dentistry 53 40%
Biochemistry, Genetics and Molecular Biology 16 12%
Agricultural and Biological Sciences 9 7%
Nursing and Health Professions 5 4%
Pharmacology, Toxicology and Pharmaceutical Science 2 2%
Other 10 8%
Unknown 38 29%
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 03 May 2022.
All research outputs
#3,349,734
of 25,411,814 outputs
Outputs from JNCI: Journal of the National Cancer Institute
#2,110
of 7,850 outputs
Outputs of similar age
#40,893
of 277,639 outputs
Outputs of similar age from JNCI: Journal of the National Cancer Institute
#25
of 88 outputs
Altmetric has tracked 25,411,814 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 7,850 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.2. This one has gotten more attention than average, scoring higher than 72% 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 277,639 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 85% of its contemporaries.
We're also able to compare this research output to 88 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.