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Mendeley readers
Attention Score in Context
| Title |
Shared genetics underlying epidemiological association between endometriosis and ovarian cancer
|
|---|---|
| Published in |
Human Molecular Genetics, July 2015
|
| DOI | 10.1093/hmg/ddv306 |
| Pubmed ID | |
| Authors |
Yi Lu, Gabriel Cuellar-Partida, Jodie N. Painter, Dale R. Nyholt, Andrew P. Morris, Peter A. Fasching, Alexander Hein, Stefanie Burghaus, Matthias W. Beckmann, Diether Lambrechts, Els Van Nieuwenhuysen, Ignace Vergote, Adriaan Vanderstichele, Jennifer Anne Doherty, Mary Anne Rossing, Kristine G. Wicklund, Jenny Chang-Claude, Ursula Eilber, Anja Rudolph, Shan Wang-Gohrke, Marc T. Goodman, Natalia Bogdanova, Thilo Dörk, Matthias Dürst, Peter Hillemanns, Ingo B. Runnebaum, Natalia Antonenkova, Ralf Butzow, Arto Leminen, Heli Nevanlinna, Liisa M. Pelttari, Robert P. Edwards, Joseph L. Kelley, Francesmary Modugno, Kirsten B. Moysich, Roberta B. Ness, Rikki Cannioto, Estrid Høgdall, Allan Jensen, Graham G. Giles, Fiona Bruinsma, Susanne K. Kjaer, Michelle A.T. Hildebrandt, Dong Liang, Karen H. Lu, Xifeng Wu, Maria Bisogna, Fanny Dao, Douglas A. Levine, Daniel W. Cramer, Kathryn L. Terry, Shelley S. Tworoger, Stacey Missmer, Line Bjorge, Helga B. Salvesen, Reidun K. Kopperud, Katharina Bischof, Katja K.H. Aben, Lambertus A. Kiemeney, Leon F.A.G. Massuger, Angela Brooks-Wilson, Sara H. Olson, Valerie McGuire, Joseph H. Rothstein, Weiva Sieh, Alice S. Whittemore, Linda S. Cook, Nhu D. Le, C. Blake Gilks, Jacek Gronwald, Anna Jakubowska, Jan Lubiński, Jan Gawełko, Honglin Song, Jonathan P. Tyrer, Nicolas Wentzensen, Louise Brinton, Britton Trabert, Jolanta Lissowska, John R. Mclaughlin, Steven A. Narod, Catherine Phelan, Hoda Anton-Culver, Argyrios Ziogas, Diana Eccles, Simon A. Gayther, Aleksandra Gentry-Maharaj, Usha Menon, Susan J. Ramus, Anna H. Wu, Agnieszka Dansonka-Mieszkowska, Jolanta Kupryjanczyk, Agnieszka Timorek, Lukasz Szafron, Julie M. Cunningham, Brooke L. Fridley, Stacey J. Winham, Elisa V. Bandera, Elizabeth M. Poole, Terry K. Morgan, Harvey A. Risch, Ellen L. Goode, Joellen M. Schildkraut, Penelope M. Webb, Celeste L. Pearce, Andrew Berchuck, Paul D.P. Pharoah, Grant W. Montgomery, Krina T. Zondervan, Georgia Chenevix-Trench, Stuart MacGregor, Carl A. Anderson, Scott D. Gordon, Qun Guo, Anjali K. Henders, Ann Lambert, Sang Hong Lee, Peter Kraft, Stephen H. Kennedy, Stuart Macgregor, Nicholas G. Martin, Stacey A. Missmer, Fenella Roseman, Susan A. Treloar, Peter M. Visscher, Leanne Wallace |
| Abstract |
Epidemiological studies have demonstrated associations between endometriosis and certain histotypes of ovarian cancer, including clear cell, low-grade serous and endometrioid carcinomas. We aimed to determine whether the observed associations might be due to shared genetic aetiology. To address this, we used two endometriosis datasets genotyped on common arrays with full-genome coverage (3,194 cases and 7,060 controls) and a large ovarian cancer dataset genotyped on the customised iCOGS arrays (10,065 cases and 21,663 controls). Previous work has suggested that a large number of genetic variants contribute to endometriosis and ovarian cancer (all histotypes combined) susceptibility. Here using the iCOGS data, we confirmed polygenic architecture for most histotypes of ovarian cancer. This led us to evaluate if the polygenic effects are shared across diseases. We found evidence for shared genetic risks between endometriosis and all histotypes of ovarian cancer, except for the intestinal mucinous type. Clear cell carcinoma showed the strongest genetic correlation with endometriosis (0.51, 95% CI=0.18-0.84). Endometrioid and low-grade serous carcinomas had similar correlation coefficients (0.48, 95% CI=0.07-0.89 and 0.40, 95% CI=0.05-0.75, respectively). High-grade serous carcinoma, which often arises from the fallopian tubes, showed a weaker genetic correlation with endometriosis (0.25, 95% CI=0.11-0.39), despite the absence of a known epidemiological association. These results suggest that the epidemiological association between endometriosis and ovarian adenocarcinoma may be attributable to shared genetic susceptibility loci. |
X Demographics
The data shown below were collected from the profiles of 4 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 | 2 | 50% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Practitioners (doctors, other healthcare professionals) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 114 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Finland | 1 | <1% |
| Mexico | 1 | <1% |
| Australia | 1 | <1% |
| Unknown | 111 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 23 | 20% |
| Other | 12 | 11% |
| Student > Doctoral Student | 11 | 10% |
| Professor > Associate Professor | 8 | 7% |
| Student > Ph. D. Student | 7 | 6% |
| Other | 22 | 19% |
| Unknown | 31 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 32 | 28% |
| Biochemistry, Genetics and Molecular Biology | 17 | 15% |
| Agricultural and Biological Sciences | 9 | 8% |
| Nursing and Health Professions | 4 | 4% |
| Social Sciences | 4 | 4% |
| Other | 13 | 11% |
| Unknown | 35 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 16 August 2015.
All research outputs
#14,261,929
of 23,299,593 outputs
Outputs from Human Molecular Genetics
#6,294
of 8,067 outputs
Outputs of similar age
#131,888
of 264,176 outputs
Outputs of similar age from Human Molecular Genetics
#88
of 131 outputs
Altmetric has tracked 23,299,593 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,067 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one is in the 20th percentile – i.e., 20% 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 264,176 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 131 others from the same source and published within six weeks on either side of this one. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.