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Genetic variants associated with breast size also influence breast cancer risk

Overview of attention for article published in BMC Medical Genetics, June 2012
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#3 of 942)
  • High Attention Score compared to outputs of the same age (99th percentile)

Mentioned by

news
4 news outlets
blogs
2 blogs
twitter
125 tweeters
weibo
1 weibo user
facebook
3 Facebook pages
wikipedia
2 Wikipedia pages
googleplus
3 Google+ users
reddit
1 Redditor
video
6 video uploaders

Citations

dimensions_citation
48 Dimensions

Readers on

mendeley
110 Mendeley
citeulike
1 CiteULike
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Title
Genetic variants associated with breast size also influence breast cancer risk
Published in
BMC Medical Genetics, June 2012
DOI 10.1186/1471-2350-13-53
Pubmed ID
Authors

Nicholas Eriksson, Geoffrey M Benton, Chuong B Do, Amy K Kiefer, Joanna L Mountain, David A Hinds, Uta Francke, Joyce Y Tung

Abstract

While some factors of breast morphology, such as density, are directly implicated in breast cancer, the relationship between breast size and cancer is less clear. Breast size is moderately heritable, yet the genetic variants leading to differences in breast size have not been identified. To investigate the genetic factors underlying breast size, we conducted a genome-wide association study (GWAS) of self-reported bra cup size, controlling for age, genetic ancestry, breast surgeries, pregnancy history and bra band size, in a cohort of 16,175 women of European ancestry. We identified seven single-nucleotide polymorphisms (SNPs) significantly associated with breast size (p<5.10(-8)): rs7816345 near ZNF703, rs4849887 and (independently) rs17625845 flanking INHBB, rs12173570 near ESR1, rs7089814 in ZNF365, rs12371778 near PTHLH, and rs62314947 near AREG. Two of these seven SNPs are in linkage disequilibrium (LD) with SNPs associated with breast cancer (those near ESR1 and PTHLH), and a third (ZNF365) is near, but not in LD with, a breast cancer SNP. The other three loci (ZNF703, INHBB, and AREG) have strong links to breast cancer, estrogen regulation, and breast development. These results provide insight into the genetic factors underlying normal breast development and show that some of these factors are shared with breast cancer. While these results do not directly support any possible epidemiological relationships between breast size and cancer, this study may contribute to a better understanding of the subtle interactions between breast morphology and breast cancer risk.

Twitter Demographics

The data shown below were collected from the profiles of 125 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 110 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 4%
Canada 1 <1%
Brazil 1 <1%
United Kingdom 1 <1%
Uruguay 1 <1%
Egypt 1 <1%
Nigeria 1 <1%
China 1 <1%
Japan 1 <1%
Other 1 <1%
Unknown 97 88%

Demographic breakdown

Readers by professional status Count As %
Researcher 23 21%
Student > Ph. D. Student 17 15%
Student > Bachelor 14 13%
Student > Master 12 11%
Other 10 9%
Other 24 22%
Unknown 10 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 40 36%
Medicine and Dentistry 29 26%
Biochemistry, Genetics and Molecular Biology 15 14%
Nursing and Health Professions 4 4%
Social Sciences 3 3%
Other 10 9%
Unknown 9 8%

Attention Score in Context

This research output has an Altmetric Attention Score of 148. 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 09 July 2020.
All research outputs
#127,693
of 15,457,193 outputs
Outputs from BMC Medical Genetics
#3
of 942 outputs
Outputs of similar age
#705
of 126,555 outputs
Outputs of similar age from BMC Medical Genetics
#1
of 1 outputs
Altmetric has tracked 15,457,193 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 942 research outputs from this source. They receive a mean Attention Score of 3.1. This one has done particularly well, scoring higher than 99% 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 126,555 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 99% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them