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Genetic Susceptibility Loci, Pesticide Exposure and Prostate Cancer Risk

Overview of attention for article published in PLOS ONE, April 2013
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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 (91st percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

news
1 news outlet
policy
1 policy source
twitter
4 X users
peer_reviews
1 peer review site
facebook
1 Facebook page

Citations

dimensions_citation
34 Dimensions

Readers on

mendeley
47 Mendeley
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Title
Genetic Susceptibility Loci, Pesticide Exposure and Prostate Cancer Risk
Published in
PLOS ONE, April 2013
DOI 10.1371/journal.pone.0058195
Pubmed ID
Authors

Stella Koutros, Sonja I. Berndt, Kathryn Hughes Barry, Gabriella Andreotti, Jane A. Hoppin, Dale P. Sandler, Meredith Yeager, Laurie A. Burdett, Jeffrey Yuenger, Michael C. R. Alavanja, Laura E. Beane Freeman

Abstract

Uncovering SNP (single nucleotide polymorphisms)-environment interactions can generate new hypotheses about the function of poorly characterized genetic variants and environmental factors, like pesticides. We evaluated SNP-environment interactions between 30 confirmed prostate cancer susceptibility loci and 45 pesticides and prostate cancer risk in 776 cases and 1,444 controls in the Agricultural Health Study. We used unconditional logistic regression to estimate odds ratios (ORs) and 95% confidence intervals (CIs). Multiplicative SNP-pesticide interactions were calculated using a likelihood ratio test. After correction for multiple tests using the False Discovery Rate method, two interactions remained noteworthy. Among men carrying two T alleles at rs2710647 in EH domain binding protein 1 (EHBP1) SNP, the risk of prostate cancer in those with high malathion use was 3.43 times those with no use (95% CI: 1.44-8.15) (P-interaction= 0.003). Among men carrying two A alleles at rs7679673 in TET2, the risk of prostate cancer associated with high aldrin use was 3.67 times those with no use (95% CI: 1.43, 9.41) (P-interaction= 0.006). In contrast, associations were null for other genotypes. Although additional studies are needed and the exact mechanisms are unknown, this study suggests known genetic susceptibility loci may modify the risk between pesticide use and prostate cancer.

X Demographics

X Demographics

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Mendeley readers

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 %
Spain 2 4%
Colombia 1 2%
Unknown 44 94%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 21%
Student > Postgraduate 6 13%
Student > Doctoral Student 5 11%
Professor 4 9%
Student > Ph. D. Student 4 9%
Other 12 26%
Unknown 6 13%
Readers by discipline Count As %
Medicine and Dentistry 12 26%
Agricultural and Biological Sciences 9 19%
Environmental Science 4 9%
Biochemistry, Genetics and Molecular Biology 4 9%
Nursing and Health Professions 2 4%
Other 8 17%
Unknown 8 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 17. 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 01 June 2022.
All research outputs
#2,135,342
of 25,109,453 outputs
Outputs from PLOS ONE
#26,357
of 217,826 outputs
Outputs of similar age
#16,912
of 205,126 outputs
Outputs of similar age from PLOS ONE
#597
of 5,297 outputs
Altmetric has tracked 25,109,453 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 217,826 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.7. This one has done well, scoring higher than 87% 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 205,126 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 91% of its contemporaries.
We're also able to compare this research output to 5,297 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.