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Trans-ancestry genome-wide association meta-analysis of prostate cancer identifies new susceptibility loci and informs genetic risk prediction
David V. Conti, Burcu F. Darst, Lilit C. Moss, Edward J. Saunders, Xin Sheng, Alisha Chou, Fredrick R. Schumacher, Ali Amin Al Olama, Sara Benlloch, Tokhir Dadaev, Mark N. Brook, Ali Sahimi, Thomas J. Hoffmann, Atushi Takahashi, Koichi Matsuda, Yukihide Momozawa, Masashi Fujita, Kenneth Muir, Artitaya Lophatananon, Peggy Wan, Loı̈c Le Marchand, Lynne R. Wilkens, Victoria L. Stevens, Susan M. Gapstur, Brian D. Carter, Johanna Schleutker, Teuvo L.J. Tammela, Csilla Sipeky, Anssi Auvinen, Graham G. Giles, Melissa C. Southey, Robert J. MacInnis, Cezary Cybulski, Dominika Wokołorczyk, Jan Lubiński, David E. Neal, Jenny L. Donovan, Freddie C. Hamdy, Richard M. Martin, Børge G. Nordestgaard, Sune F. Nielsen, Maren Weischer, Stig E. Bojesen, Martin Andreas Røder, Peter Iversen, Jyotsna Batra, Suzanne K. Chambers, Leire Moya, Lisa G. Horvath, Judith A. Clements, Wayne D. Tilley, Gail P. Risbridger, Henrik Grönberg, Markus Aly, Robert Szulkin, Martin Eklund, Tobias Nordström, Nora Pashayan, Alison M. Dunning, Maya Ghoussaini, Ruth C. Travis, Timothy J. Key, Elio Ríboli, Jong Y. Park, Thomas A. Sellers, Hui‐Yi Lin, Demetrius Albanes, Stephanie J. Weinstein, Lorelei A. Mucci, Edward L. Giovannucci, Sara Lindström, Peter Kraft, David J. Hunter, Kathryn L. Penney, Constance Turman, Catherine M. Tangen, Phyllis J. Goodman, Ian M. Thompson, Robert J. Hamilton, Neil E. Fleshner, Antonio Finelli, Marie‐Elise Parent, Janet L. Stanford, Elaine A. Ostrander, Milan S. Geybels, Stella Koutros, Laura E. Beane Freeman, Meir J. Stampfer, Alicja Wolk, Niclas Håkansson, Gerald L. Andriole, Robert N. Hoover, Mitchell J. Machiela, Karina D. Sørensen, Michael Borre, William J. Blot, Wei Zheng, Edward D. Yeboah, James E. Mensah, Yong‐Jie Lu, Hong-Wei Zhang, Ninghan Feng, Xueying Mao, Yudong Wu, Shan‐Chao Zhao, Zan Sun, Stephen N. Thibodeau, Shannon K. McDonnell, Daniel J. Schaid, Catharine West, N.G. Burnet, Gill Barnett, Christiane Maier, Thomas Schnoeller, Manuel Luedeke, Adam S. Kibel, Bettina F. Drake, Olivier Cussenot, Géraldine Cancel‐Tassin, F. Ménégaux, Thérèse Truong, Yves Akoli Koudou, Esther M. John, Eli Marie Grindedal, Lovise Mæhle, Kay‐Tee Khaw, Sue A. Ingles, Mariana C. Stern, Ana Vega, Antonio Gómez‐Caamaño, Laura Fachal, Barry S. Rosenstein, Sarah L. Kerns, Harry Ostrer, Manuel R. Teixeira, Paula Paulo, Andreia Brandão, Stephen Watya, Alexander Lubwama, Jeannette T. Bensen, Elizabeth T. H. Fontham, James L. Mohler, Jack A. Taylor, Manolis Kogevinas, Javier Llorca, Gemma Castaño‐Vinyals, Lisa Cannon‐Albright, Craig C. Teerlink, Chad D. Huff, Sara S. Strom, Luc Multigner, Pascal Blanchet, Laurent Brureau, Radka Kaneva, Chavdar Slavov, Vanio Mitev, Robin J. Leach, Brandi Weaver, Hermann Brenner, Katarina Ćuk, Bernd Holleczek, Kai-Uwe Saum, Eric A. Klein, Ann W. Hsing, Rick A. Kittles, Adam B. Murphy, Christopher J. Logothetis, Jeri Kim, Susan L. Neuhausen, Linda Steele, Yuan Chun Ding, William B. Isaacs, Barbara Nemesure, Anselm Hennis, John Carpten, Hardev Pandha, Agnieszka Michael, Kim De Ruyck, Gert De Meerleer, Piet Ost, Jianfeng Xu, Azad Hassan Abdul Razack, Jasmine Lim, Soo‐Hwang Teo, Lisa F. Newcomb, Daniel Lin, Jay H. Fowke, Christine Neslund‐Dudas, Benjamin A. Rybicki, Marija Gamulin, Davor Lessel, Tomislav Kuliš, Nawaid Usmani, Sandeep K. Singhal, Matthew Parliament, Frank Claessens, Steven Joniau, Thomas Van den Broeck, Manuela Gago-Domínguez, Jose E. Castelao, Marı́a Elena Martı́nez, Samantha Larkin, Paul A. Townsend, Claire Aukim-Hastie, William S. Bush, Melinda C. Aldrich, Dana C. Crawford, Shiv Srivastava, Jennifer Cullen, György Petrovics, Graham Casey, Monique J. Roobol, Guido Jenster, Ron H. N. van Schaik, Jennifer J. Hu, Maureen Sanderson, Rohit Varma, Roberta McKean‐Cowdin, Mina Torres, Nicholas Mancuso, Sonja I. Berndt, Stephen K. Van Den Eeden, Douglas F. Easton, Stephen J. Chanock, Michael B. Cook, Fredrik Wiklund, Hidewaki Nakagawa, Rosalind A. Eeles, Zsofia Kote‐Jarai, Christopher A. Haiman
Bibliographic record
VenueNature Genetics · 2021
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetic Associations and Epidemiology
Canadian institutionsUniversity of AlbertaUniversité de MontréalPrincess Margaret Cancer CentreInstitut National de la Recherche ScientifiqueUniversity of Toronto
FundersMedical Research CouncilEuropean Society for Medical OncologyNational Cancer InstituteNational Institutes of HealthU.S. Department of Health and Human ServicesCancer Research UKWellcome TrustNational Institute of Environmental Health SciencesIpsenNational Institute for Health and Care ResearchAchievement Rewards for College Scientists Foundation
KeywordsProstate cancerOdds ratioBiologyGenome-wide association studyGenetic genealogyPopulationConfidence intervalDemographyGeneticsCancerOncologyInternal medicineSingle-nucleotide polymorphismMedicineGenotypeGene
Abstract
OpenAlex records an abstract for this work, but it could not be fetched just now.
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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.638
Threshold uncertainty score1.000
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.002 | 0.001 |
| 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 head0.032
GPT teacher head0.330
Teacher spread0.298 · 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.
Study designMeta-analysis
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
Citations500
Published2021
Admission routes1
Has abstractyes