| Title |
The rs10993994 Risk Allele for Prostate Cancer Results in Clinically Relevant Changes in Microseminoprotein-Beta Expression in Tissue and Urine
|
|---|---|
| Published in |
PLOS ONE, October 2010
|
| DOI | 10.1371/journal.pone.0013363 |
| Pubmed ID | |
| Authors |
Hayley C. Whitaker, Zsofia Kote-Jarai, Helen Ross-Adams, Anne Y. Warren, Johanna Burge, Anne George, Elizabeth Bancroft, Sameer Jhavar, Daniel Leongamornlert, Malgorzata Tymrakiewicz, Edward Saunders, Elizabeth Page, Anita Mitra, Gillian Mitchell, Geoffrey J. Lindeman, D. Gareth Evans, Ignacio Blanco, Catherine Mercer, Wendy S. Rubinstein, Virginia Clowes, Fiona Douglas, Shirley Hodgson, Lisa Walker, Alan Donaldson, Louise Izatt, Huw Dorkins, Alison Male, Kathy Tucker, Alan Stapleton, Jimmy Lam, Judy Kirk, Hans Lilja, Douglas Easton, Colin Cooper, Rosalind Eeles, David E. Neal |
| Abstract |
Microseminoprotein-beta (MSMB) regulates apoptosis and using genome-wide association studies the rs10993994 single nucleotide polymorphism in the MSMB promoter has been linked to an increased risk of developing prostate cancer. The promoter location of the risk allele, and its ability to reduce promoter activity, suggested that the rs10993994 risk allele could result in lowered MSMB in benign tissue leading to increased prostate cancer risk. |
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 117 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | 3% |
| Japan | 1 | <1% |
| Sweden | 1 | <1% |
| Brazil | 1 | <1% |
| Unknown | 111 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 19 | 16% |
| Researcher | 19 | 16% |
| Student > Ph. D. Student | 12 | 10% |
| Professor | 12 | 10% |
| Student > Bachelor | 10 | 9% |
| Other | 21 | 18% |
| Unknown | 24 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 23 | 20% |
| Medicine and Dentistry | 21 | 18% |
| Biochemistry, Genetics and Molecular Biology | 15 | 13% |
| Computer Science | 10 | 9% |
| Chemistry | 4 | 3% |
| Other | 17 | 15% |
| Unknown | 27 | 23% |