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Identification and molecular characterization of a new ovarian cancer susceptibility locus at 17q21.31
Jennifer Permuth‐Wey, Kate Lawrenson, Howard C. Shen, Aneliya Velkova, Jonathan P. Tyrer, Zhihua Chen, Hui‐Yi Lin, Y. Ann Chen, Ya-Yu Tsai, Xiaotao Qu, Susan J. Ramus, Rod Karevan, Janet Lee, Nathan Lee, Melissa C. Larson, Katja K.H. Aben, Hoda Anton‐Culver, Natalia Antonenkova, Antonis C. Antoniou, Sebastian M. Armasu, François Bacot, Laura Baglietto, Elisa V. Bandera, Jill S. Barnholtz‐Sloan, Matthias W. Beckmann, Michael J. Birrer, Greg Bloom, Natalia Bogdanova, Louise A. Brinton, Angela Brooks‐Wilson, Robert Brown, Ralf Bützow, Qiuyin Cai, Ian Campbell, Jenny Chang‐Claude, Stephen J. Chanock, Georgia Chenevix‐Trench, Jin Q. Cheng, Mine S. Cicek, Gerhard A. Coetzee, Linda S. Cook, Fergus J. Couch, Daniel W. Cramer, Julie M. Cunningham, Agnieszka Dansonka‐Mieszkowska, Evelyn Despierre, Jennifer A. Doherty, Thilo Dörk, Andreas du Bois, Matthias Dürst, Douglas F. Easton, Diana Eccles, Robert P. Edwards, Arif B. Ekici, Peter A. Fasching, David Fenstermacher, James M. Flanagan, Montserrat García‐Closas, Aleksandra Gentry‐Maharaj, Graham G. Giles, Rosalind Glasspool, Jesús González Bosquet, Marc T. Goodman, Martin Gore, Bohdan Górski, Jacek Gronwald, Per Hall, Mari K. Halle, Philipp Harter, Florian Heitz, Peter Hillemanns, Maureen E. Hoatlin, Claus Høgdall, Estrid Høgdall, Satoyo Hosono, Anna Jakubowska, Allan Jensen, Heather Jim, Kimberly R. Kalli, Beth Y. Karlan, Stanley B. Kaye, Linda E. Kelemen, Lambertus A. Kiemeney, Fumitaka Kikkawa, Gottfried E. Konecny, Camilla Krakstad, Susanne K. Kjær, Jolanta Kupryjańczyk, Diether Lambrechts, Sandrina Lambrechts, Johnathan M. Lancaster, Nhu D. Le, Arto Leminen, Douglas A. Levine, Dong Liang, Boon Kiong Lim, Jie Lin, Jolanta Lissowska, Karen H. Lu, Jan Lubiński, Galina Lurie, Leon F.A.G. Massuger, Keitaro Matsuo, Valerie McGuire, Usha Menon, Francesmary Modugno, Kirsten B. Moysich, Toru Nakanishi, Steven A. Narod, Lotte Nedergaard, Roberta B. Ness, Heli Nevanlinna, Stefan Nickels, Houtan Noushmehr, Kunle Odunsi, Sara H. Olson, Irene Orlow, James Paul, Celeste Leigh Pearce, Tanja Pejović, Liisa M. Pelttari, Malcolm C. Pike, Elizabeth M. Poole, Paola Raska, Stefan P. Renner, Harvey A. Risch, Lorna Rodríguez-Rodríguez, Mary Anne Rossing, Anja Rudolph, Ingo B. Runnebaum, Iwona K. Rzepecka, Helga B. Salvesen, Ira Schwaab, Gianluca Severi, Viji Shridhar, Xiao‐Ou Shu, Yurii B. Shvetsov, Weiva Sieh, Honglin Song, Melissa C. Southey, Beata Śpiewankiewicz, Daniel O. Stram, Rebecca Sutphen, Soo‐Hwang Teo, Kathryn L. Terry, Daniel C. Tessier, Pamela J. Thompson, Shelley S. Tworoger, Anne M. van Altena, Ignace Vergote, Robert A. Vierkant, Daniel Vincent, Allison F. Vitonis, Shan Wang‐Gohrke, Rachel Palmieri Weber, Nicolas Wentzensen, Alice S. Whittemore, Elisabeth Wik, Lynne R. Wilkens, Boris Winterhoff, Yin Ling Woo, Anna H. Wu, Yong‐Bing Xiang, Hannah Yang, Wei Zheng, Argyrios Ziogas, Famida Zulkifli, Catherine M. Phelan, Edwin S. Iversen, Joellen M. Schildkraut, Andrew Berchuck, Brooke L. Fridley, Ellen L. Goode, Paul D.P. Pharoah, Álvaro N.A. Monteiro, Thomas A. Sellers, Simon A. Gayther
Bibliographic record
VenueNature Communications · 2013
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMicroRNA in disease regulation
Canadian institutionsUniversity of TorontoLunenfeld-Tanenbaum Research InstituteMount Sinai HospitalUniversity of CalgaryWomen's College HospitalAlberta Health ServicesBC Cancer AgencyPublic Health OntarioMcGill University and Génome Québec Innovation Centre
FundersNational Cancer InstituteCancer Council QueenslandCancer Council VictoriaCancer Council South AustraliaMedical Research CouncilCanadian Institutes of Health ResearchEuropean CommissionCancer Council TasmaniaOvarian Cancer Research FundNational Institutes of HealthCancer Council NSWNational Health and Medical Research CouncilAmerican Cancer SocietyCancer Research UKWellcome TrustNational Center for Research ResourcesRoswell Park Cancer InstituteGénome QuébecMcGill UniversityRutgers Cancer Institute of New JerseyNational Institute for Health and Care Research
KeywordsLocus (genetics)Single-nucleotide polymorphismBiologyGenotypingGeneticsGenemicroRNAOvarian cancerGenetic predispositionUntranslated regionGenotypeCancerMessenger RNA
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.346
Threshold uncertainty score0.403
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 head0.009
GPT teacher head0.275
Teacher spread0.266 · 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 teacher head, not a consensus.
The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical
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
Citations110
Published2013
Admission routes2
Has abstractno