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Mendeley readers
Attention Score in Context
| Title |
Fine-Scale Mapping of the 4q24 Locus Identifies Two Independent Loci Associated with Breast Cancer Risk
|
|---|---|
| Published in |
Cancer Epidemiology, Biomarkers & Prevention, November 2015
|
| DOI | 10.1158/1055-9965.epi-15-0363 |
| Pubmed ID | |
| Authors |
Xingyi Guo, Jirong Long, Chenjie Zeng, Kyriaki Michailidou, Maya Ghoussaini, Manjeet K. Bolla, Qin Wang, Roger L. Milne, Xiao-Ou Shu, Qiuyin Cai, Jonathan Beesley, Siddhartha P. Kar, Irene L. Andrulis, Hoda Anton-Culver, Volker Arndt, Matthias W. Beckmann, Alicia Beeghly-Fadiel, Javier Benitez, William Blot, Natalia Bogdanova, Stig E. Bojesen, Hiltrud Brauch, Hermann Brenner, Louise Brinton, Annegien Broeks, Thomas Brüning, Barbara Burwinkel, Hui Cai, Sander Canisius, Jenny Chang-Claude, Ji-Yeob Choi, Fergus J. Couch, Angela Cox, Simon S. Cross, Kamila Czene, Hatef Darabi, Peter Devilee, Arnaud Droit, Thilo Dörk, Peter A. Fasching, Olivia Fletcher, Henrik Flyger, Florentia Fostira, Valerie Gaborieau, Montserrat García-Closas, Graham G. Giles, Mervi Grip, Pascal Guénel, Christopher A. Haiman, Ute Hamann, Mikael Hartman, Antoinette Hollestelle, John L. Hopper, Chia-Ni Hsiung, Hidemi Ito, Anna Jakubowska, Nichola Johnson, Maria Kabisch, Daehee Kang, Sofia Khan, Julia A. Knight, Veli-Matti Kosma, Diether Lambrechts, Loic Le Marchand, Jingmei Li, Annika Lindblom, Artitaya Lophatananon, Jan Lubinski, Arto Mannermaa, Siranoush Manoukian, Sara Margolin, Frederik Marme, Keitaro Matsuo, Catriona A. McLean, Alfons Meindl, Kenneth Muir, Susan L. Neuhausen, Heli Nevanlinna, Silje Nord, Janet E. Olson, Nick Orr, Paolo Peterlongo, Thomas Choudary Putti, Anja Rudolph, Suleeporn Sangrajrang, Elinor J. Sawyer, Marjanka K. Schmidt, Rita K. Schmutzler, Chen-Yang Shen, Jiajun Shi, Martha J. Shrubsole, Melissa C. Southey, Anthony Swerdlow, Soo Hwang Teo, Bernard Thienpont, Amanda Ewart Toland, Robert A.E.M. Tollenaar, Ian P.M. Tomlinson, Thérèse Truong, Chiu-chen Tseng, Ans van den Ouweland, Wanqing Wen, Robert Winqvist, Anna Wu, Cheng Har Yip, M. Pilar Zamora, Ying Zheng, Per Hall, Paul D.P. Pharoah, Jacques Simard, Georgia Chenevix-Trench, on behalf of kConFab Investigators, Alison M. Dunning, Douglas F. Easton, Wei Zheng |
| Abstract |
A recent association study identified a common variant (rs9790517) at 4q24 to be associated with breast cancer risk. Independent association signals and potential functional variants in this locus have not been explored. We conducted a fine-mapping analysis in 55,540 breast cancer cases and 51,168 controls from the Breast Cancer Association Consortium. Conditional analyses identified two independent association signals among women of European ancestry, represented by rs9790517 (conditional p = 2.51 × 10-4; OR = 1.04; 95% CI 1.02-1.07) and rs77928427 (p = 1.86 × 10-4; OR = 1.04; 95% CI 1.02-1.07). Functional annotation using data from the Encyclopedia of DNA Elements (ENCODE) project revealed two putative functional variants, rs62331150 and rs73838678 in linkage disequilibrium (LD) with rs9790517 (r2 > 0.90) residing in the active promoter or enhancer, respectively, of the nearest gene, TET2. Both variants are located in DNase I hypersensitivity and transcription factor binding sites. Using data from both The Cancer Genome Atlas (TCGA) and Molecular Taxonomy of Breast Cancer International Consortium (METABRIC), we showed that rs62331150 was associated with level of expression of TET2 in breast normal and tumor tissue. Our study identified two independent association signals at 4q24 in relation to breast cancer risk and suggested that observed association in this locus may be mediated through the regulation of TET2. Fine-mapping study with large sample size warranted for identification of independent loci for breast cancer risk. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 90 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Finland | 1 | 1% |
| Norway | 1 | 1% |
| Unknown | 88 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 23 | 26% |
| Professor | 9 | 10% |
| Student > Ph. D. Student | 8 | 9% |
| Professor > Associate Professor | 8 | 9% |
| Other | 7 | 8% |
| Other | 13 | 14% |
| Unknown | 22 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 26 | 29% |
| Biochemistry, Genetics and Molecular Biology | 19 | 21% |
| Agricultural and Biological Sciences | 5 | 6% |
| Social Sciences | 4 | 4% |
| Immunology and Microbiology | 2 | 2% |
| Other | 9 | 10% |
| Unknown | 25 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 03 November 2015.
All research outputs
#17,439,813
of 25,584,565 outputs
Outputs from Cancer Epidemiology, Biomarkers & Prevention
#3,405
of 4,855 outputs
Outputs of similar age
#178,002
of 296,856 outputs
Outputs of similar age from Cancer Epidemiology, Biomarkers & Prevention
#32
of 57 outputs
Altmetric has tracked 25,584,565 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,855 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.5. This one is in the 24th percentile – i.e., 24% 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 296,856 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 57 others from the same source and published within six weeks on either side of this one. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.