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X Demographics
Mendeley readers
Attention Score in Context
| Title |
GWAS meta-analysis and replication identifies three new susceptibility loci for ovarian cancer
|
|---|---|
| Published in |
Nature Genetics, March 2013
|
| DOI | 10.1038/ng.2564 |
| Pubmed ID | |
| Authors |
Paul D P Pharoah, Ya-Yu Tsai, Susan J Ramus, Catherine M Phelan, Ellen L Goode, Kate Lawrenson, Melissa Buckley, Brooke L Fridley, Jonathan P Tyrer, Howard Shen, Rachel Weber, Rod Karevan, Melissa C Larson, Honglin Song, Daniel C Tessier, François Bacot, Daniel Vincent, Julie M Cunningham, Joe Dennis, Ed Dicks, Katja K Aben, Hoda Anton-Culver, Natalia Antonenkova, Sebastian M Armasu, Laura Baglietto, Elisa V Bandera, Matthias W Beckmann, Michael J Birrer, Greg Bloom, Natalia Bogdanova, James D Brenton, Louise A Brinton, Angela Brooks-Wilson, Robert Brown, Ralf Butzow, Ian Campbell, Michael E Carney, Renato S Carvalho, Jenny Chang-Claude, Y Anne Chen, Zhihua Chen, Wong-Ho Chow, Mine S Cicek, Gerhard Coetzee, Linda S Cook, Daniel W Cramer, Cezary Cybulski, Agnieszka Dansonka-Mieszkowska, Evelyn Despierre, Jennifer A Doherty, Thilo Dörk, Andreas du Bois, Matthias Dürst, Diana Eccles, Robert Edwards, Arif B Ekici, Peter A Fasching, David Fenstermacher, James Flanagan, Yu-Tang Gao, Montserrat Garcia-Closas, Aleksandra Gentry-Maharaj, Graham Giles, Anxhela Gjyshi, Martin Gore, Jacek Gronwald, Qi Guo, Mari K Halle, Philipp Harter, Alexander Hein, Florian Heitz, Peter Hillemanns, Maureen Hoatlin, Estrid Høgdall, Claus K Høgdall, Satoyo Hosono, Anna Jakubowska, Allan Jensen, Kimberly R Kalli, Beth Y Karlan, Linda E Kelemen, Lambertus A Kiemeney, Susanne Krüger Kjaer, Gottfried E Konecny, Camilla Krakstad, Jolanta Kupryjanczyk, Diether Lambrechts, Sandrina Lambrechts, Nhu D Le, Nathan Lee, Janet Lee, Arto Leminen, Boon Kiong Lim, Jolanta Lissowska, Jan Lubiński, Lene Lundvall, Galina Lurie, Leon F A G Massuger, Keitaro Matsuo, Valerie McGuire, John R McLaughlin, Usha Menon, Francesmary Modugno, Kirsten B Moysich, Toru Nakanishi, Steven A Narod, Roberta B Ness, Heli Nevanlinna, Stefan Nickels, Houtan Noushmehr, Kunle Odunsi, Sara Olson, Irene Orlow, James Paul, Tanja Pejovic, Liisa M Pelttari, Jenny Permuth-Wey, Malcolm C Pike, Elizabeth M Poole, Xiaotao Qu, Harvey A Risch, Lorna Rodriguez-Rodriguez, Mary Anne Rossing, Anja Rudolph, Ingo Runnebaum, Iwona K Rzepecka, Helga B Salvesen, Ira Schwaab, Gianluca Severi, Hui Shen, Vijayalakshmi Shridhar, Xiao-Ou Shu, Weiva Sieh, Melissa C Southey, Paul Spellman, Kazuo Tajima, Soo-Hwang Teo, Kathryn L Terry, Pamela J Thompson, Agnieszka Timorek, Shelley S Tworoger, Anne M van Altena, David van den Berg, Ignace Vergote, Robert A Vierkant, Allison F Vitonis, Shan Wang-Gohrke, Nicolas Wentzensen, Alice S Whittemore, Elisabeth Wik, Boris Winterhoff, Yin Ling Woo, Anna H Wu, Hannah P Yang, Wei Zheng, Argyrios Ziogas, Famida Zulkifli, Marc T Goodman, Per Hall, Douglas F Easton, Celeste L Pearce, Andrew Berchuck, Georgia Chenevix-Trench, Edwin Iversen, Alvaro N A Monteiro, Simon A Gayther, Joellen M Schildkraut, Thomas A Sellers |
| Abstract |
Genome-wide association studies (GWAS) have identified four susceptibility loci for epithelial ovarian cancer (EOC), with another two suggestive loci reaching near genome-wide significance. We pooled data from a GWAS conducted in North America with another GWAS from the UK. We selected the top 24,551 SNPs for inclusion on the iCOGS custom genotyping array. We performed follow-up genotyping in 18,174 individuals with EOC (cases) and 26,134 controls from 43 studies from the Ovarian Cancer Association Consortium. We validated the two loci at 3q25 and 17q21 that were previously found to have associations close to genome-wide significance and identified three loci newly associated with risk: two loci associated with all EOC subtypes at 8q21 (rs11782652, P = 5.5 × 10(-9)) and 10p12 (rs1243180, P = 1.8 × 10(-8)) and another locus specific to the serous subtype at 17q12 (rs757210, P = 8.1 × 10(-10)). An integrated molecular analysis of genes and regulatory regions at these loci provided evidence for functional mechanisms underlying susceptibility and implicated CHMP4C in the pathogenesis of ovarian cancer. |
X Demographics
The data shown below were collected from the profiles of 10 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 | 3 | 30% |
| United Kingdom | 2 | 20% |
| Japan | 1 | 10% |
| Germany | 1 | 10% |
| Unknown | 3 | 30% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 80% |
| Scientists | 2 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 295 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | 1% |
| Netherlands | 2 | <1% |
| Germany | 2 | <1% |
| United States | 2 | <1% |
| Ireland | 1 | <1% |
| Australia | 1 | <1% |
| Finland | 1 | <1% |
| Switzerland | 1 | <1% |
| Czechia | 1 | <1% |
| Other | 3 | 1% |
| Unknown | 278 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 74 | 25% |
| Student > Ph. D. Student | 67 | 23% |
| Student > Master | 20 | 7% |
| Professor | 20 | 7% |
| Student > Bachelor | 18 | 6% |
| Other | 51 | 17% |
| Unknown | 45 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 97 | 33% |
| Biochemistry, Genetics and Molecular Biology | 61 | 21% |
| Medicine and Dentistry | 43 | 15% |
| Computer Science | 11 | 4% |
| Engineering | 5 | 2% |
| Other | 25 | 8% |
| Unknown | 53 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 154. 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 25 May 2021.
All research outputs
#270,884
of 25,837,817 outputs
Outputs from Nature Genetics
#490
of 7,639 outputs
Outputs of similar age
#1,719
of 212,550 outputs
Outputs of similar age from Nature Genetics
#6
of 75 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,639 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 43.7. This one has done particularly well, scoring higher than 93% 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 212,550 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 75 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.