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Record W2154340576 · doi:10.1038/ncomms5613

Trans-ethnic genome-wide association study of colorectal cancer identifies a new susceptibility locus in VTI1A

2014· review· en· W2154340576 on OpenAlexafffund
Hansong Wang, Terrilea Burnett, Suminori Kono, Christopher A. Haiman, Motoki Iwasaki, Lynne R. Wilkens, Lenora W. M. Loo, David Van Den Berg, Laurence N. Kolonel, Brian E. Henderson, Temitope O. Keku, Robert S. Sandler, Lisa B. Signorello, William J. Blot, Polly A. Newcomb, Mala Pande, Christopher I. Amos, Dee W. West, Stéphane Bezieau, Sonja I. Berndt, Brent W. Zanke, Li Hsu, John A. Baron, Hermann Brenner, Bette J. Caan, Christopher S. Carlson, Graham Casey, Andrew T. Chan, Jenny Chang‐Claude, Stephen J. Chanock, David V. Conti, Keith R. Curtis, David Duggan, Charles S. Fuchs, Steven Gallinger, Edward L. Giovannucci, Stephen B. Gruber, Robert W. Haile, Tabitha A. Harrison, Richard B. Hayes, Michael Hoffmeister, John L. Hopper, Thomas J. Hudson, David J. Hunter, Carolyn M. Hutter, Rebecca D. Jackson, Mark A. Jenkins, Shuo Jiao, Sébastien Küry, Loı̈c Le Marchand, Mathieu Lemire, Noralane M. Lindor, Jing Ma, Ulrike Peters, John D. Potter, Conghui Qu, Thomas E. Rohan, Robert E. Schoen, Fredrick R. Schumacher, Daniela Seminara, Martha L. Slattery, Stephen N. Thibodeau, Emily White, Robert W. Haile, Duncan C. Thomas, Michelle Cotterchio, Dave Duggan, Jeremy R. Jass, John Grove, S. N. Thibodeau, Sheri D. Schully, Stephanie L. Stenzel, Kendra L. Blalock, Peter T. Campbell, Christopher K. Edlund, Jane C. Figueiredo, W. James Gauderman, Jian Gong, Roger C. Green, John F. Harju, Eric J. Jacobs, Li Li, Yi Lin, Frank J. Manion, Vı́ctor Moreno, Bhramar Mukherjee, Leon Raskin, Gianluca Severi, Shoichiro Tsugane, Daniel O. Stram

Bibliographic record

VenueNature Communications · 2014
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetic Associations and Epidemiology
Canadian institutionsMemorial University of NewfoundlandOntario Institute for Cancer ResearchUniversity of TorontoCancer Care OntarioOttawa HospitalUniversity of Ottawa
FundersNational Institute of Environmental Health SciencesNational Institute of Diabetes and Digestive and Kidney DiseasesNational Cancer InstituteOntario Ministry of Research and InnovationCanadian Institutes of Health ResearchNational Human Genome Research InstituteCenter for Clinical and Translational Sciences, University of Texas Health Science Center at HoustonUniversity of Texas MD Anderson Cancer CenterMinistry of Education, Culture, Sports, Science and TechnologyCenters for Disease Control and PreventionUniversity of Hawai'iDeutsche ForschungsgemeinschaftCanadian Cancer Society Research InstituteNational Institutes of HealthU.S. Department of DefenseU.S. Public Health ServiceGroupement des Entreprises Françaises dans la lutte contre le CancerBroad InstituteConseil Régional des Pays de la LoireUniversity of Southern CaliforniaOntario Institute for Cancer ResearchUniversity of Texas Health Science Center at HoustonBundesministerium für Bildung und ForschungAssociation Anne de Bretagne GenetiqueMinisterio de Economía y CompetitividadVirginia Department of HealthDivision of Cancer Prevention, National Cancer InstituteDuncan Family Institute for Cancer Prevention and Risk Assessment
KeywordsGenome-wide association studyColorectal cancerLocus (genetics)Genetic associationGeneticsGenetic genealogyBiologySingle-nucleotide polymorphismGenomeMedicineGeneGenotypeCancerPopulation

Abstract

fetched live from OpenAlex
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 imitation

Not 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: Empirical · Consensus signal: none
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.001

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 head0.040
GPT teacher head0.381
Teacher spread0.341 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine 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

Citations78
Published2014
Admission routes2
Has abstractno

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