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Genetic risk variants associated with in situ breast cancer

Overview of attention for article published in Breast Cancer Research, June 2015
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (52nd percentile)

Mentioned by

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2 tweeters

Citations

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15 Dimensions

Readers on

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33 Mendeley
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Title
Genetic risk variants associated with in situ breast cancer
Published in
Breast Cancer Research, June 2015
DOI 10.1186/s13058-015-0596-x
Pubmed ID
Authors

Daniele Campa, Myrto Barrdahl, Mia M. Gaudet, Amanda Black, Stephen J. Chanock, W. Ryan Diver, Susan M. Gapstur, Christopher Haiman, Susan Hankinson, Aditi Hazra, Brian Henderson, Robert N. Hoover, David J. Hunter, Amit D. Joshi, Peter Kraft, Loic Le Marchand, Sara Lindström, Walter Willett, Ruth C. Travis, Pilar Amiano, Afshan Siddiq, Dimitrios Trichopoulos, Malin Sund, Anne Tjønneland, Elisabete Weiderpass, Petra H. Peeters, Salvatore Panico, Laure Dossus, Regina G. Ziegler, Federico Canzian, Rudolf Kaaks

Abstract

Breast cancer in situ (BCIS) diagnoses, a precursor lesion for invasive breast cancer, comprise about 20 % of all breast cancers (BC) in countries with screening programs. Family history of BC is considered one of the strongest risk factors for BCIS. To evaluate the association of BC susceptibility loci with BCIS risk, we genotyped 39 single nucleotide polymorphisms (SNPs), associated with risk of invasive BC, in 1317 BCIS cases, 10,645 invasive BC cases, and 14,006 healthy controls in the National Cancer Institute's Breast and Prostate Cancer Cohort Consortium (BPC3). Using unconditional logistic regression models adjusted for age and study, we estimated the association of SNPs with BCIS using two different comparison groups: healthy controls and invasive BC subjects to investigate whether BCIS and BC share a common genetic profile. We found that five SNPs (CDKN2BAS-rs1011970, FGFR2-rs3750817, FGFR2-rs2981582 TNRC9-rs3803662, 5p12-rs10941679) were significantly associated with BCIS risk (p-value adjusted for multiple comparisons <0.0016). Comparing invasive BC and BCIS, the largest difference was for CDKN2BAS-rs1011970 which showed a positive association with BCIS (OR = 1.24, 95 % CI: 1.11-1.38, P = 1.27x10(-4)) and no association with invasive BC (OR = 1.03, 95 % CI: 0.99-1.07, P = 0.06), with a p-value for case-case comparison of 0.006. Subgroup analyses investigating associations with ductal carcinoma in situ (DCIS) found similar associations, albeit less significant (OR = 1.25, 95 % CI: 1.09-1.42, P = 1.07x10(-3)). Additional risk analyses showed significant associations with invasive disease at the 0.05-level for 28 of the alleles and the OR estimates were consistent with those reported by other studies. Our study adds to the knowledge that several of the known BC susceptibility loci are risk factors for both BCIS and invasive BC, with the possible exception of rs1011970, a putatively functional SNP situated in the CDKN2BAS gene that may be a specific BCIS susceptibility locus.

Twitter Demographics

The data shown below were collected from the profiles of 2 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 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Ghana 1 3%
United Kingdom 1 3%
Brazil 1 3%
Japan 1 3%
Unknown 29 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 21%
Researcher 6 18%
Student > Master 4 12%
Unspecified 4 12%
Student > Bachelor 3 9%
Other 9 27%
Readers by discipline Count As %
Medicine and Dentistry 10 30%
Agricultural and Biological Sciences 8 24%
Biochemistry, Genetics and Molecular Biology 5 15%
Unspecified 5 15%
Computer Science 2 6%
Other 3 9%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 17 September 2015.
All research outputs
#7,375,756
of 12,786,839 outputs
Outputs from Breast Cancer Research
#931
of 1,448 outputs
Outputs of similar age
#104,467
of 233,640 outputs
Outputs of similar age from Breast Cancer Research
#6
of 7 outputs
Altmetric has tracked 12,786,839 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,448 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.0. This one is in the 32nd percentile – i.e., 32% of its peers scored the same or lower than it.
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 233,640 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 52% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one.