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Identification of six new susceptibility loci for invasive epithelial ovarian cancer
Karoline Kuchenbaecker, Susan J. Ramus, Jonathan P. Tyrer, Andrew Lee, Howard C. Shen, Jonathan Beesley, Kate Lawrenson, Lesley McGuffog, Sue Healey, Janet M. Lee, Tassja J. Spindler, Yvonne G. Lin, Tanja Pejović, Yukie T. Bean, Qiyuan Li, Simon G. Coetzee, Dennis J. Hazelett, Alexander Miron, Melissa C. Southey, Mary Beth Terry, David E. Goldgar, Saundra S. Buys, Ramūnas Janavičius, Cecilia M. Dorfling, Elizabeth J. van Rensburg, Susan L. Neuhausen, Yuan Chun Ding, Thomas van Overeem Hansen, Lars Jønson, Anne‐Marie Gerdes, Bent Ejlertsen, Daniel Barrowdale, Joe Dennis, Javier Benı́tez, Ana Osório, María J. García, Ian K. Komenaka, Jeffrey N. Weitzel, Pamela Ganschow, Paolo Peterlongo, Loris Bernard, Alessandra Viel, Bernardo Bonanni, Bernard Peissel, Siranoush Manoukian, Paolo Radice, Laura Papi, Laura Ottini, Florentia Fostira, Irene Konstantopoulou, Judy E. Garber, Debra Frost, Jo Perkins, Radka Platte, Andrew K. Godwin, Rita K. Schmutzler, Alfons Meindl, Christoph Engel, Christian Sutter, Olga M. Sinilnikova, Francesca Damiola, Sylvie Mazoyer, Dominique Stoppa‐Lyonnet, Kathleen Claes, Kim De Leeneer, Judy Kirk, Gustavo C. Rodriguez, Marion Piedmonte, David M. O’Malley, Miguel de la Hoya, Trinidad Caldés, Kristiina Aittomäki, Heli Nevanlinna, Margriet Collée, Matti A. Rookus, Jan C. Oosterwijk, Laima Tihomirova, Nadine Tung, Ute Hamann, Claudine Isaccs, Marc Tischkowitz, Evgeny N. Imyanitov, Maria A. Caligo, Ian Campbell, Frans B.L. Hogervorst, Edith Oláh, Orland Dı́ez, Ignacio Blanco, Joan Brunet, Conxi Lázaro, Miquel Angel Pujana, Anna Jakubowska, Jacek Gronwald, Jan Lubiński, Grzegorz Sukiennicki, Rósa B. Barkardóttir, Marie Plante, Jacques Simard, Penny Soucy, Marco Montagna, Silvia Tognazzo, Manuel R. Teixeira, V. Shane Pankratz, Xianshu Wang, Noralane M. Lindor, Csilla I. Szabo, Noah D. Kauff, Joseph Vijai, Carol Aghajanian, Georg Pfeiler, Andreas P. Berger, Christian F. Singer, Muy‐Kheng M. Tea, Catherine M. Phelan, Mark H. Greene, Gad Rennert, Anna Marie Mulligan, Sandrine Tchatchou, Irene L. Andrulis, Gord Glendon, Amanda E. Toland, Uffe Birk Jensen, Torben A. Kruse, Mads Thomassen, Anders Bojesen, Jamal Zidan, Eitan Friedman, Yael Laitman, Maria Soller, Annelie Liljegren, Brita Arver, Zakaria Einbeigi, Marie Stenmark-Askmalm, Olufunmilayo I. Olopade, Robert L. Nussbaum, Timothy R. Rebbeck, Katherine L. Nathanson, Susan M. Domchek, Karen H. Lu, Beth Y. Karlan, Christine Walsh, Jenny Lester, Alexander Hein, Arif B. Ekici, Matthias W. Beckmann, Peter A. Fasching, Diether Lambrechts, Els Van Nieuwenhuysen, Ignace Vergote, Sandrina Lambrechts, Ed Dicks, Jennifer A. Doherty, Kristine G. Wicklund, Mary Anne Rossing, Anja Rudolph, Jenny Chang‐Claude, Shan Wang‐Gohrke, Ursula Eilber, Kirsten B. Moysich, Kunle Odunsi, Lara Sucheston, Shashi Lele, Lynne R. Wilkens, Marc T. Goodman, Pamela J. Thompson, Yurii B. Shvetsov, Ingo B. Runnebaum, Matthias Dürst, Peter Hillemanns, Thilo Dörk, Natalia Antonenkova, Natalia Bogdanova, Arto Leminen, Liisa M. Pelttari, Ralf Bützow, Francesmary Modugno, Joseph L. Kelley, Robert P. Edwards, Roberta B. Ness, Andreas du Bois, Florian Heitz, Ira Schwaab, Philipp Harter, Keitaro Matsuo, Satoyo Hosono, Sandra Oršulić, Allan Jensen, Susanne K. Kjær, Estrid Høgdall, Hanis Nazihah Hasmad, Mat Adenan Noor Azmi, Soo‐Hwang Teo, Yin Ling Woo, Brooke L. Fridley, Ellen L. Goode, Julie M. Cunningham, Robert A. Vierkant, Fiona Bruinsma, Graham G. Giles, Dong Liang, Michelle A.T. Hildebrandt, Xifeng Wu, Douglas A. Levine, Maria Bisogna, Andrew Berchuck, Edwin S. Iversen, Joellen M. Schildkraut, Patrick Concannon, Rachel Palmieri Weber, Daniel W. Cramer, Kathryn L. Terry, Elizabeth M. Poole, Shelley S. Tworoger, Elisa V. Bandera, Irene Orlow, Sara H. Olson, Camilla Krakstad, Helga B. Salvesen, Ingvild L. Tangen, Line Bjørge, Anne M. van Altena, Katja K.H. Aben, Lambertus A. Kiemeney, Leon F.A.G. Massuger, Melissa Kellar, Angela Brooks‐Wilson, Linda E. Kelemen, Linda S. Cook, Nhu D. Le, Cezary Cybulski, Hannah Yang, Jolanta Lissowska, Louise A. Brinton, Nicolas Wentzensen, Claus Høgdall, Lene Lundvall, Lotte Nedergaard, Helen Baker, Honglin Song, Diana Eccles, James Paul, Karen Carty, Nadeem Siddiqui, Rosalind Glasspool, Alice S. Whittemore, Joseph H. Rothstein, Valerie McGuire, Weiva Sieh, Bu‐Tian Ji, Wei Zheng, Xiao‐Ou Shu, Yu‐Tang Gao, Barry P. Rosen, Harvey A. Risch, Steven A. Narod, Álvaro N.A. Monteiro, Ann Chen, Hui‐Yi Lin, Jenny Permuth‐Wey, Thomas A. Sellers, Ya-Yu Tsai, Zhihua Chen, Argyrios Ziogas, Hoda Anton‐Culver, Aleksandra Gentry‐Maharaj, Usha Menon, Patricia Harrington, Alice W. Lee, Anna H. Wu, Celeste Leigh Pearce, Malcolm C. Pike, Agnieszka Dansonka‐Mieszkowska, Agnieszka Timorek, Iwona K. Rzepecka, Jolanta Kupryjańczyk, Matt Freedman, Houtan Noushmehr, Douglas F. Easton, Kenneth Offit, Fergus J. Couch, Simon A. Gayther, Paul D.P. Pharoah, Antonis C. Antoniou, Georgia Chenevix‐Trench
Bibliographic record
VenueNature Genetics · 2015
Typereview
Languageen
FieldMedicine
TopicOvarian cancer diagnosis and treatment
Canadian institutionsCanada's Michael Smith Genome Sciences CentrePrincess Margaret Cancer CentreLunenfeld-Tanenbaum Research InstituteMount Sinai HospitalUniversity Health NetworkUniversity of TorontoUniversité LavalBC Cancer AgencyMcGill UniversitySimon Fraser UniversityWomen's College HospitalCentre hospitalier universitaire de Québec
FundersNational Center for Advancing Translational SciencesNational Cancer InstituteFrancis Crick InstituteCancer Research UKWellcome Trust
KeywordsBiologyIdentification (biology)Epithelial ovarian cancerOvarian cancerGeneticsComputational biologyCancer
Abstract
No abstract in any covered source. Its absence is recorded, not treated as a negative.
No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.002
Threshold uncertainty score0.007
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
Opus teacher head0.055
GPT teacher head0.387
Teacher spread0.331 · how far apart the two teachers sit on this one work
Validation status
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreReview
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".
Quick stats
Citations262
Published2015
Admission routes1
Has abstractno