↓ Skip to main content

Fine scale mapping of the 17q22 breast cancer locus using dense SNPs, genotyped within the Collaborative Oncological Gene-Environment Study (COGs)

Overview of attention for article published in Scientific Reports, September 2016
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (75th percentile)
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

Mentioned by

twitter
6 X users
patent
1 patent
facebook
1 Facebook page

Citations

dimensions_citation
22 Dimensions

Readers on

mendeley
91 Mendeley
citeulike
3 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Fine scale mapping of the 17q22 breast cancer locus using dense SNPs, genotyped within the Collaborative Oncological Gene-Environment Study (COGs)
Published in
Scientific Reports, September 2016
DOI 10.1038/srep32512
Pubmed ID
Authors

Hatef Darabi, Jonathan Beesley, Arnaud Droit, Siddhartha Kar, Silje Nord, Mahdi Moradi Marjaneh, Penny Soucy, Kyriaki Michailidou, Maya Ghoussaini, Hanna Fues Wahl, Manjeet K. Bolla, Qin Wang, Joe Dennis, M. Rosario Alonso, Irene L. Andrulis, Hoda Anton-Culver, Volker Arndt, Matthias W. Beckmann, Javier Benitez, Natalia V. Bogdanova, Stig E. Bojesen, Hiltrud Brauch, Hermann Brenner, Annegien Broeks, Thomas Brüning, Barbara Burwinkel, Jenny Chang-Claude, Ji-Yeob Choi, Don M. Conroy, Fergus J. Couch, Angela Cox, Simon S. Cross, Kamila Czene, Peter Devilee, Thilo Dörk, Douglas F. Easton, Peter A. Fasching, Jonine Figueroa, Olivia Fletcher, Henrik Flyger, Eva Galle, Montserrat García-Closas, Graham G. Giles, Mark S. Goldberg, Anna González-Neira, Pascal Guénel, Christopher A. Haiman, Emily Hallberg, Ute Hamann, Mikael Hartman, Antoinette Hollestelle, John L. Hopper, Hidemi Ito, Anna Jakubowska, Nichola Johnson, Daehee Kang, Sofia Khan, Veli-Matti Kosma, Mieke Kriege, Vessela Kristensen, Diether Lambrechts, Loic Le Marchand, Soo Chin Lee, Annika Lindblom, Artitaya Lophatananon, Jan Lubinski, Arto Mannermaa, Siranoush Manoukian, Sara Margolin, Keitaro Matsuo, Rebecca Mayes, James McKay, Alfons Meindl, Roger L. Milne, Kenneth Muir, Susan L. Neuhausen, Heli Nevanlinna, Curtis Olswold, Nick Orr, Paolo Peterlongo, Guillermo Pita, Katri Pylkäs, Anja Rudolph, Suleeporn Sangrajrang, Elinor J. Sawyer, Marjanka K. Schmidt, Rita K. Schmutzler, Caroline Seynaeve, Mitul Shah, Chen-Yang Shen, Xiao-Ou Shu, Melissa C. Southey, Daniel O. Stram, Harald Surowy, Anthony Swerdlow, Soo H. Teo, Daniel C. Tessier, Ian Tomlinson, Diana Torres, Thérèse Truong, Celine M. Vachon, Daniel Vincent, Robert Winqvist, Anna H. Wu, Pei-Ei Wu, Cheng Har Yip, Wei Zheng, Paul D. P. Pharoah, Per Hall, Stacey L. Edwards, Jacques Simard, Juliet D. French, Georgia Chenevix-Trench, Alison M. Dunning

Abstract

Genome-wide association studies have found SNPs at 17q22 to be associated with breast cancer risk. To identify potential causal variants related to breast cancer risk, we performed a high resolution fine-mapping analysis that involved genotyping 517 SNPs using a custom Illumina iSelect array (iCOGS) followed by imputation of genotypes for 3,134 SNPs in more than 89,000 participants of European ancestry from the Breast Cancer Association Consortium (BCAC). We identified 28 highly correlated common variants, in a 53 Kb region spanning two introns of the STXBP4 gene, that are strong candidates for driving breast cancer risk (lead SNP rs2787486 (OR = 0.92; CI 0.90-0.94; P = 8.96 × 10(-15))) and are correlated with two previously reported risk-associated variants at this locus, SNPs rs6504950 (OR = 0.94, P = 2.04 × 10(-09), r(2) = 0.73 with lead SNP) and rs1156287 (OR = 0.93, P = 3.41 × 10(-11), r(2) = 0.83 with lead SNP). Analyses indicate only one causal SNP in the region and several enhancer elements targeting STXBP4 are located within the 53 kb association signal. Expression studies in breast tumor tissues found SNP rs2787486 to be associated with increased STXBP4 expression, suggesting this may be a target gene of this locus.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 91 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Indonesia 1 1%
Finland 1 1%
Norway 1 1%
Unknown 88 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 19%
Student > Master 9 10%
Student > Ph. D. Student 7 8%
Professor > Associate Professor 7 8%
Student > Bachelor 6 7%
Other 20 22%
Unknown 25 27%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 17 19%
Medicine and Dentistry 16 18%
Agricultural and Biological Sciences 6 7%
Social Sciences 5 5%
Engineering 4 4%
Other 14 15%
Unknown 29 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 15 June 2023.
All research outputs
#5,394,928
of 25,576,275 outputs
Outputs from Scientific Reports
#41,552
of 141,815 outputs
Outputs of similar age
#84,308
of 345,829 outputs
Outputs of similar age from Scientific Reports
#1,178
of 3,738 outputs
Altmetric has tracked 25,576,275 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 141,815 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.8. This one has gotten more attention than average, scoring higher than 70% 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 345,829 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 75% of its contemporaries.
We're also able to compare this research output to 3,738 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 68% of its contemporaries.