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Dove Medical Press

No associations between aromatase gene polymorphisms and breast cancer risk in Saudi patients

Overview of attention for article published in OncoTargets and therapy, September 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)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

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1 news outlet
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4 X users

Citations

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5 Dimensions

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9 Mendeley
Title
No associations between aromatase gene polymorphisms and breast cancer risk in Saudi patients
Published in
OncoTargets and therapy, September 2015
DOI 10.2147/ott.s84696
Pubmed ID
Authors

Mohammed Alanazi, Huda A Alabdulkarim, Jilani P Shaik, Abdulrahman Al Naeem, Mohammad Elrobh, Abdullah Al Amri, Fatimah Basil al-Mukaynizi, Abdelhabib Semlali, Arjumand Warsy, Narasimha Reddy Parine

Abstract

Cytochrome P450 (CYP)19A1 encodes aromatase, the enzyme responsible for the conversion of androgens to estrogens, and may play a role in variation in outcomes among women with breast cancer. The aim of this study was to analyze the genetic association of rs4646 (A > C) and rs700518 (Val > Val) in the CYP19A1 gene with the risk of breast cancer. These two single nucleotide polymorphisms (SNPs) were analyzed in a primary study group of breast cancer patients and healthy control subjects. Genotypes were determined by the TaqMan SNP analysis technique. The study data were analyzed using the chi-square or t-test and logistic regression analysis by Statistical Package for the Social Sciences version 16 software. rs4646 and rs700518 had no association with susceptibility to breast cancer. There was no significant association for either of these SNPs overall in breast cancer samples when compared with healthy control samples. Our data do not support a relationship between the CYP19A1 rs4646 and rs700518 SNPs and risk of breast cancer. It may be that there are ethnic differences with regard to this relationship. This study demonstrated that CYP19A1 rs4646 and rs700518 SNPs may not be involved in the etiology of breast cancer in the Saudi population. Confirmation of our findings in larger populations of other ethnicities could provide evidence for the role of the CYP19A1 gene in breast carcinomas.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Student > Postgraduate 2 22%
Student > Ph. D. Student 1 11%
Student > Doctoral Student 1 11%
Professor > Associate Professor 1 11%
Student > Master 1 11%
Other 0 0%
Unknown 3 33%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 22%
Agricultural and Biological Sciences 2 22%
Pharmacology, Toxicology and Pharmaceutical Science 1 11%
Medicine and Dentistry 1 11%
Unknown 3 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 19 November 2015.
All research outputs
#3,114,744
of 25,584,565 outputs
Outputs from OncoTargets and therapy
#87
of 2,967 outputs
Outputs of similar age
#38,659
of 277,177 outputs
Outputs of similar age from OncoTargets and therapy
#3
of 95 outputs
Altmetric has tracked 25,584,565 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 2,967 research outputs from this source. They receive a mean Attention Score of 3.0. This one has done particularly well, scoring higher than 96% 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 277,177 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 95 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.