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Cumulative Burden of Colorectal Cancer–Associated Genetic Variants Is More Strongly Associated With Early-Onset vs Late-Onset Cancer
Alexi Archambault, Yu‐Ru Su, Jihyoun Jeon, Minta Thomas, Yi Lin, David V. Conti, Aung Ko Win, Lori C. Sakoda, Iris Lansdorp‐Vogelaar, Elisabeth F.P. Peterse, Ann G. Zauber, David Duggan, Andreana N. Holowatyj, Jeroen R. Huyghe, Hermann Brenner, Michelle Cotterchio, Stéphane Bezieau, Stephanie L. Schmit, Christopher K. Edlund, Melissa C. Southey, Robert J. MacInnis, Peter T. Campbell, Jenny Chang‐Claude, Martha L. Slattery, Andrew T. Chan, Amit D. Joshi, Mingyang Song, Yin Cao, Michael O. Woods, Emily White, Stephanie J. Weinstein, Cornelia M. Ulrich, Michael Hoffmeister, Stephanie A. Bien, Tabitha A. Harrison, Jochen Hampe, Christopher I. Li, Clemens Schafmayer, Kenneth Offit, Paul D.P. Pharoah, Vı́ctor Moreno, Annika Lindblom, Alicja Wolk, Anna H. Wu, Li Li, Marc J. Gunter, Andrea Gsur, Temitope O. Keku, Rachel Pearlman, D. Timothy Bishop, Sergi Castellvı́-Bel, Leticia Moreira, Pavel Vodička, Ellen Kampman, Graham G. Giles, Demetrius Albanes, John A. Baron, Sonja I. Berndt, Stefanie Brezina, Stephan Buch, Daniel D. Buchanan, Antonia Trichopoulou, Gianluca Severi, María‐Dolores Chirlaque, María‐José Sánchez, Domenico Palli, Tilman Kühn, Neil Murphy, Amanda J. Cross, Andrea N. Burnett‐Hartman, Stephen J. Chanock, Albert de la Chapelle, Douglas F. Easton, Faye Elliott, Dallas R. English, Edith J. M. Feskens, Liesel M. FitzGerald, Phyllis J. Goodman, John L. Hopper, Thomas J. Hudson, David J. Hunter, Eric J. Jacobs, Corinne E. Joshu, Sébastien Küry, Sanford D. Markowitz, Roger L. Milne, Elizabeth A. Platz, Gad Rennert, Hedy S. Rennert, Fredrick R. Schumacher, Robert S. Sandler, Daniela Seminara, Catherine M. Tangen, Stephen N. Thibodeau, Amanda E. Toland, Fränzel J.B. van Duijnhoven, Kala Visvanathan, Ludmila Vodičková, John D. Potter, Satu Männistö, Korbinian Weigl, Jane C. Figueiredo, Vicente Martín, Susanna C. Larsson, Patrick S. Parfrey, Wen‐Yi Huang, Heinz‐Josef Lenz, Jose E. Castelao, Manuela Gago-Domínguez, Víctor M. Muñoz-Garzón, Christoph Mancao, Christopher A. Haiman, Lynne R. Wilkens, Erin M. Siegel, Elizabeth L. Barry, Ban Younghusband, Bethany Van Guelpen, Sophia Harlid, Anne Zeleniuch‐Jacquotte, Peter S. Liang, Mengmeng Du, Graham Casey, Noralane M. Lindor, Loı̈c Le Marchand, Steven Gallinger, Mark A. Jenkins, Polly A. Newcomb, Stephen B. Gruber, Robert E. Schoen, Heather Hampel, Douglas A. Corley, Li Hsu, Ulrike Peters, Richard B. Hayes
Bibliographic record
VenueGastroenterology · 2019
Typearticle
Languageen
FieldMedicine
TopicGenetic factors in colorectal cancer
Canadian institutionsUniversity of TorontoOntario Institute for Cancer ResearchMemorial University of NewfoundlandLunenfeld-Tanenbaum Research InstituteMount Sinai HospitalCancer Care Ontario
FundersNational Institute of Environmental Health SciencesNational Heart, Lung, and Blood InstituteCancer Research UKWageningen University and ResearchNational Institute for Health and Care ResearchAgència de Gestió d'Ajuts Universitaris i de RecercaMedical Research CouncilAssociazione Italiana per la Ricerca sul CancroSchool of Medicine, New York UniversityEuropean CommissionCentre Hospitalier Universitaire de NantesGroupement des Entreprises Françaises dans la lutte contre le CancerJunta de Castilla y LeónConseil Régional des Pays de la LoireInstituto de Salud Carlos IIIWorld Health OrganizationXarxa de Bancs de Tumors de CatalunyaXunta de GaliciaNational Institutes of HealthHerzfelder'sche FamilienstiftungInstitut Gustave-RoussyDeutsche KrebshilfeNordForskVetenskapsrådetCancerfondenZonMwCenters for Disease Control and PreventionNational Human Genome Research InstituteCalifornia Department of Public HealthUniversity of MelbourneUniversity of Southern CaliforniaYork UniversityU.S. Department of Health and Human ServicesUSC Norris Comprehensive Cancer CenterMemorial Sloan-Kettering Cancer CenterWorld Cancer Research Fund InternationalLigue Contre le CancerDeutsches KrebsforschungszentrumKaiser PermanenteGeneralitat de CatalunyaHellenic Health FoundationWereld Kanker Onderzoek FondsNational Cancer InstituteFundación Científica Asociación Española Contra el CáncerBundesministerium für Bildung und ForschungNational Institute on AgingAgency for Healthcare Research and QualityAssociation Anne de Bretagne GenetiqueNational Institute of Diabetes and Digestive and Kidney DiseasesWorld Cancer Research FundInstitut National de la Santé et de la Recherche Médicale
KeywordsColorectal cancerMedicineCancerOncologyIncidence (geometry)Cumulative incidenceInternal medicineFamily historyPopulationCumulative riskCohortEnvironmental health
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)0.003
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.022
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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 head0.012
GPT teacher head0.270
Teacher spread0.258 · 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
Citations195
Published2019
Admission routes2
Has abstractno