| Title |
Functional Polymorphisms in the TERT Promoter Are Associated with Risk of Serous Epithelial Ovarian and Breast Cancers
|
|---|---|
| Published in |
PLOS ONE, September 2011
|
| DOI | 10.1371/journal.pone.0024987 |
| Pubmed ID | |
| Authors |
Jonathan Beesley, Hilda A. Pickett, Sharon E. Johnatty, Alison M. Dunning, Xiaoqing Chen, Jun Li, Kyriaki Michailidou, Yi Lu, David N. Rider, Rachel T. Palmieri, Michael D. Stutz, Diether Lambrechts, Evelyn Despierre, Sandrina Lambrechts, Ignace Vergote, Jenny Chang-Claude, Stefan Nickels, Alina Vrieling, Dieter Flesch-Janys, Shan Wang-Gohrke, Ursula Eilber, Natalia Bogdanova, Natalia Antonenkova, Ingo B. Runnebaum, Thilo Dörk, Marc T. Goodman, Galina Lurie, Lynne R. Wilkens, Rayna K. Matsuno, Lambertus A. Kiemeney, Katja K. H. Aben, Tamara Marees, Leon F. A. G. Massuger, Brooke L. Fridley, Robert A. Vierkant, Elisa V. Bandera, Sara H. Olson, Irene Orlow, Lorna Rodriguez-Rodriguez, Linda S. Cook, Nhu D. Le, Angela Brooks-Wilson, Linda E. Kelemen, Ian Campbell, Simon A. Gayther, Susan J. Ramus, Aleksandra Gentry-Maharaj, Usha Menon, Shahana Ahmed, Caroline Baynes, Paul D. Pharoah, kConFab Investigators, Kenneth Muir, Artitaya Lophatananon, Arkom Chaiwerawattana, Surapon Wiangnon, Stuart Macgregor, Douglas F. Easton, Roger R. Reddel, Ellen L. Goode, Georgia Chenevix-Trench |
| Abstract |
Genetic variation at the TERT-CLPTM1L locus at 5p15.33 is associated with susceptibility to several cancers, including epithelial ovarian cancer (EOC). We have carried out fine-mapping of this region in EOC which implicates an association with a single nucleotide polymorphism (SNP) within the TERT promoter. We demonstrate that the minor alleles at rs2736109, and at an additional TERT promoter SNP, rs2736108, are associated with decreased breast cancer risk, and that the combination of both SNPs substantially reduces TERT promoter activity. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 4% |
| Australia | 2 | 4% |
| Unknown | 45 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 15 | 31% |
| Student > Ph. D. Student | 8 | 16% |
| Student > Master | 5 | 10% |
| Professor | 4 | 8% |
| Student > Bachelor | 2 | 4% |
| Other | 6 | 12% |
| Unknown | 9 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 14 | 29% |
| Medicine and Dentistry | 13 | 27% |
| Biochemistry, Genetics and Molecular Biology | 10 | 20% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 2% |
| Psychology | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 9 | 18% |