↓ Skip to main content


Article Metrics

Association of breast cancer risk with genetic variants showing differential allelic expression: Identification of a novel breast cancer susceptibility locus at 4q21

Overview of attention for article published in Oncotarget, October 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 (70th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

8 tweeters
3 Facebook pages


28 Dimensions

Readers on

82 Mendeley
1 CiteULike
Association of breast cancer risk with genetic variants showing differential allelic expression: Identification of a novel breast cancer susceptibility locus at 4q21
Published in
Oncotarget, October 2016
DOI 10.18632/oncotarget.12818
Pubmed ID

Yosr Hamdi, Penny Soucy, Véronique Adoue, Kyriaki Michailidou, Sander Canisius, Audrey Lemaçon, Arnaud Droit, Irene L Andrulis, Hoda Anton-Culver, Volker Arndt, Caroline Baynes, Carl Blomqvist, Natalia V. Bogdanova, Stig E. Bojesen, Manjeet K. Bolla, Bernardo Bonanni, Anne-Lise Borresen-Dale, Judith S. Brand, Hiltrud Brauch, Hermann Brenner, Annegien Broeks, Barbara Burwinkel, Jenny Chang-Claude, Fergus J. Couch, Angela Cox, Simon S. Cross, Kamila Czene, Hatef Darabi, Joe Dennis, Peter Devilee, Thilo Dörk, Isabel Dos-Santos-Silva, Mikael Eriksson, Peter A. Fasching, Jonine Figueroa, Henrik Flyger, Montserrat García-Closas, Graham G. Giles, Mark S. Goldberg, Anna González-Neira, Grethe Grenaker-Alnæs, Pascal Guénel, Lothar Haeberle, Christopher A. Haiman, Ute Hamann, Emily Hallberg, Maartje J. Hooning, John L. Hopper, Anna Jakubowska, Michael Jones, Maria Kabisch, Vesa Kataja, Diether Lambrechts, Loic Le Marchand, Annika Lindblom, Jan Lubinski, Arto Mannermaa, Mel Maranian, Sara Margolin, Frederik Marme, Roger L. Milne, Susan L. Neuhausen, Heli Nevanlinna, Patrick Neven, Curtis Olswold, Julian Peto, Dijana Plaseska-Karanfilska, Katri Pylkäs, Paolo Radice, Anja Rudolph, Elinor J. Sawyer, Marjanka K. Schmidt, Xiao-Ou Shu, Melissa C. Southey, Anthony Swerdlow, Rob A.E.M. Tollenaar, Ian Tomlinson, Diana Torres, Thérèse Truong, Celine Vachon, Ans M. W. Van Den Ouweland, Qin Wang, Robert Winqvist, kConFab/AOCS Investigators, Wei Zheng, Javier Benitez, Georgia Chenevix-Trench, Alison M. Dunning, Paul D. P. Pharoah, Vessela Kristensen, Per Hall, Douglas F. Easton, Tomi Pastinen, Silje Nord, Jacques Simard


There are significant inter-individual differences in the levels of gene expression. Through modulation of gene expression, cis-acting variants represent an important source of phenotypic variation. Consequently, cis-regulatory SNPs associated with differential allelic expression are functional candidates for further investigation as disease-causing variants. To investigate whether common variants associated with differential allelic expression were involved in breast cancer susceptibility, a list of genes was established on the basis of their involvement in cancer related pathways and/or mechanisms. Thereafter, using data from a genome-wide map of allelic expression associated SNPs, 313 genetic variants were selected and their association with breast cancer risk was then evaluated in 46,451 breast cancer cases and 42,599 controls of European ancestry ascertained from 41 studies participating in the Breast Cancer Association Consortium. The associations were evaluated with overall breast cancer risk and with estrogen receptor negative and positive disease. One novel breast cancer susceptibility locus on 4q21 (rs11099601) was identified (OR = 1.05, P = 5.6x10-6). rs11099601 lies in a 135 kb linkage disequilibrium block containing several genes, including, HELQ, encoding the protein HEL308 a DNA dependant ATPase and DNA Helicase involved in DNA repair, MRPS18C encoding the Mitochondrial Ribosomal Protein S18C and FAM175A (ABRAXAS), encoding a BRCA1 BRCT domain-interacting protein involved in DNA damage response and double-strand break (DSB) repair. Expression QTL analysis in breast cancer tissue showed rs11099601 to be associated with HELQ (P = 8.28x10-14), MRPS18C (P = 1.94x10-27) and FAM175A (P = 3.83x10-3), explaining about 20%, 14% and 1%, respectively of the variance inexpression of these genes in breast carcinomas.

Twitter Demographics

The data shown below were collected from the profiles of 8 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 82 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Finland 1 1%
United Kingdom 1 1%
Germany 1 1%
Norway 1 1%
Unknown 78 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 17%
Student > Master 11 13%
Student > Ph. D. Student 9 11%
Professor 5 6%
Student > Bachelor 5 6%
Other 16 20%
Unknown 22 27%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 17 21%
Medicine and Dentistry 15 18%
Agricultural and Biological Sciences 9 11%
Computer Science 3 4%
Psychology 3 4%
Other 13 16%
Unknown 22 27%

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 28 December 2016.
All research outputs
of 11,787,076 outputs
Outputs from Oncotarget
of 11,479 outputs
Outputs of similar age
of 255,650 outputs
Outputs of similar age from Oncotarget
of 1,016 outputs
Altmetric has tracked 11,787,076 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,479 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done particularly well, scoring higher than 91% 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 255,650 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 70% of its contemporaries.
We're also able to compare this research output to 1,016 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.