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Genetic insights into biological mechanisms governing human ovarian ageing
Katherine S. Ruth, Felix R. Day, Jazib Hussain, Ana Martínez-Marchal, Catherine Aiken, Ajuna Azad, Deborah J. Thompson, Lucie Knoblochová, Hironori Abe, Jane L. Tarry‐Adkins, Javier Martín‐González, Pierre Fontanillas, Annique Claringbould, Olivier B. Bakker, Patrick Sulem, Robin Walters, Chikashi Terao, Sandra Turon, Momoko Horikoshi, Kuang Lin, N. Charlotte Onland‐Moret, Aditya Sankar, Emil Peter Thrane Hertz, Pascal Timshel, Vallari Shukla, Rehannah Borup, Kristina Wendelboe Olsen, Paula Aguilera, Mònica Ferrer‐Roda, Yan Huang, Stasa Stankovic, Paul R. H. J. Timmers, Thomas U. Ahearn, Behrooz Z. Alizadeh, Elnaz Naderi, Irene L. Andrulis, Alice M. Arnold, Kristan J. Aronson, Annelie Augustinsson, Stefania Bandinelli, Caterina Barbieri, Robin N. Beaumont, Heiko Becher, Matthias W. Beckmann, Stefania Benónísdóttir, Sven Bergmann, Murielle Bochud, Eric Boerwinkle, Stig E. Bojesen, Manjeet K. Bolla, Dorret I. Boomsma, Nicholas Bowker, Jennifer A. Brody, Linda Broer, Julie E. Buring, Archie Campbell, Harry Campbell, Jose E. Castelao, Eulalia Catamo, Stephen J. Chanock, Georgia Chenevix‐Trench, Marina Ciullo, Tanguy Corre, Fergus J. Couch, Angela Cox, Laura Crisponi, Simon S. Cross, Francesco Cucca, Kamila Czene, George Davey Smith, Eco J. C. de Geus, Renée de Mutsert, Immaculata De Vivo, Ellen W. Demerath, Joe Dennis, Alison M. Dunning, Miriam Dwek, Mikael Eriksson, Tõnu Esko, Peter A. Fasching, Jessica D. Faul, Luigi Ferrucci, Nora Franceschini, Timothy M. Frayling, Manuela Gago-Domínguez, Massimo Mezzavilla, Montserrat García‐Closas, Christian Gieger, Graham G. Giles, Harald Grallert, Daníel F. Guðbjartsson, Vilmundur Guðnason, Pascal Guénel, Christopher A. Haiman, Niclas Håkansson, Per Hall, Caroline Hayward, Chunyan He, Wei He, Gerardo Heiss, Miya Kudo Høffding, John L. Hopper, Frank B. Hu, David J. Hunter, M. Arfan Ikram, Rebecca D. Jackson, Micaella Joaquim, Esther M. John, Peter K. Joshi, David Karasik, Sharon L. R. Kardia, Christiana Kartsonaki, Robert Karlsson, Cari M. Kitahara, Ivana Kolčić, Charles Kooperberg, Peter Kraft, Allison W. Kurian, Zoltán Kutalik, Martina La Bianca, Geneviève Lachance, Claudia Langenberg, Lenore J. Launer, Joop S.E. Laven, Loı̈c Le Marchand, Jingmei Li, Annika Lindblom, Sara Lindström, Tricia Lindstrom, Martha S. Linet, Ching‐Ti Liu, Simin Liu, Jian’an Luan, Reedik Mägi, Patrik K. E. Magnusson, Massimo Mangino, Marco Brumat, Jonathan Marten, Nicholas G. Martin, Hamdi Mbarek, Barbara McKnight, Sarah E. Medland, Christa Meisinger, Thomas Meitinger, Cristina Menni, Andres Metspalu, Lili Milani, Roger L. Milne, Grant W. Montgomery, Dennis O. Mook‐Kanamori, Antonella Mulas, Anna Marie Mulligan, Alison D. Murray, Mike A. Nalls, Anne B. Newman, Raymond Noordam, Teresa Nutile, Dale R. Nyholt, Andrew F. Olshan, Håkan Olsson, Jodie N. Painter, Alpa V. Patel, Nancy L. Pedersen, Natalia Perjakova, Annette Peters, Ulrike Peters, Paul D.P. Pharoah, Ozren Polašek, Eleonora Porcu, Bruce M. Psaty, Iffat Rahman, Gad Rennert, Hedy S. Rennert, Paul M. Ridker, Susan M. Ring, Antonietta Robino, Lynda M. Rose, Frits R. Rosendaal, Jacques E. Rossouw, Igor Rudan, Rico Rueedi, Daniela Ruggiero, Cinzia Sala, Emmanouil Saloustros, Dale P. Sandler, Serena Sanna, Elinor J. Sawyer, Chloé Sarnowski, David Schlessinger, Marjanka K. Schmidt, Minouk J. Schoemaker, Katharina E. Schraut, Christopher G. Scott, Saleh Shekari, Amruta Shrikhande, Albert V. Smith, Blair H. Smith, Jennifer A. Smith, Rossella Sorice, Melissa C. Southey, Tim D. Spector, John J. Spinelli, Meir J. Stampfer, Doris Stöckl, Joyce B. J. van Meurs, Konstantin Strauch, Unnur Styrkársdóttir, Anthony J. Swerdlow, Toshiko Tanaka, Lauren R. Teras, Alexander Teumer, Unnur Þorsteinsdóttir, Nicholas J. Timpson, Daniela Toniolo, Michela Traglia, Melissa A. Troester, Thérèse Truong, Jessica Tyrrell, André G. Uitterlinden, Sheila Ulivi, Celine M. Vachon, Véronique Vitart, Uwe Völker, Péter Vollenweider, Henry Völzke, Qin Wang, Nicholas J. Wareham, Clarice R. Weinberg, David R. Weir, Amber N. Hurson, Ko Willems van Dijk, Gonneke Willemsen, James F. Wilson, Bruce H. R. Wolffenbuttel, Alicja Wolk, Andrew R. Wood, Wei Zhao, Marek Zygmunt, Zhengming Chen, Liming Li, Lude Franke, Stephen Burgess, Patrick Deelen, Tune H. Pers, Marie Louise Grøndahl, Claus Yding Andersen, Anna Pujol, Andrés J. López‐Contreras, J. Daniel, Kāri Stefánsson, Jenny Chang‐Claude, Yvonne T. van der Schouw, Kathryn L. Lunetta, Daniel I. Chasman, Douglas F. Easton, Jenny A. Visser, Susan E. Ozanne, Satoshi H. Namekawa, P Solc, Joanne M. Murabito, Ken K. Ong, Eva R. Hoffmann, Anna Murray, Ignasi Roig, John R. B. Perry
Bibliographic record
VenueNature · 2021
Typearticle
Languageen
FieldMedicine
TopicReproductive Biology and Fertility
Canadian institutionsUniversity of British ColumbiaUniversity of TorontoUniversity Health NetworkQueen's UniversityLunenfeld-Tanenbaum Research InstituteMount Sinai Hospital
FundersNational Heart, Lung, and Blood InstituteNational Institute of General Medical SciencesMedical Research CouncilNovo Nordisk FondenWellcome TrustAcademy of Medical SciencesNational Institute of Environmental Health SciencesNational Institute for Health and Care ResearchNational Cancer InstituteLundbeckfondenCancer Research UK
KeywordsAgeingEvolutionary biologyBiologyComputational biologyGenetics
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)0.000
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.008
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 head0.019
GPT teacher head0.289
Teacher spread0.269 · 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
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
Citations447
Published2021
Admission routes1
Has abstractno