← Back to cohort
Host–microbe interactions have shaped the genetic architecture of inflammatory bowel disease
Luke Jostins, Stephan Ripke, Rinse K. Weersma, Richard H. Duerr, Dermot McGovern, Ken Hui, James Lee, L. Philip Schumm, Yashoda Sharma, Carl A. Anderson, Jonah Essers, Mitja Mitrovič, Kaida Ning, Isabelle Cleynen, Emilie Théâtre, Sarah L. Spain, Soumya Raychaudhuri, Philippe Goyette, Zhi Wei, Clara Abraham, Jean–Paul Achkar, Tariq Ahmad, Leila Amininejad, Ashwin N. Ananthakrishnan, Vibeke Andersen, Jane M. Andrews, Leonard Baidoo, Tobias Balschun, Peter A. Bampton, Alain Bitton, Gabrielle Boucher, Stephan Brand, Carsten Büning, Ariella Cohain, Sven Cichon, Mauro D’Amato, Dirk de Jong, Kathy L. Devaney, Marla C. Dubinsky, Cathryn Edwards, David Ellinghaus, Lynnette Ferguson, Denis Franchimont, Karin Fransén, Richard B. Gearry, Michel Georges, Christian Gieger, Jürgen Glas, Talin Haritunians, Ailsa Hart, Chris Hawkey, Matija Hedl, Xinli Hu, Tom H. Karlsen, Limas Kupčinskas, Subra Kugathasan, Anna Latiano, Debby Laukens, Ian C. Lawrance, Charlie W. Lees, Édouard Louis, Gillian Mahy, John Mansfield, Craig Mowat, William G. Newman, Orazio Palmieri, Cyriel Y. Ponsioen, Uroš Potočnik, Natalie J. Prescott, Miguel Regueiro, Jerome I. Rotter, Richard K. Russell, Jeremy Sanderson, Miquel Sans, Jack Satsangi, Stefan Schreiber, Lisa A. Simms, Jurgita Šventoraitytė, Stephan R. Targan, Kent D. Taylor, Mark Tremelling, Hein W. Verspaget, Cisca Wijmenga, David C. Wilson, Juliane Winkelmann, Ramnik J. Xavier, Sebastian Zeißig, Bin Zhang, Hu Zhang, Hongyu Zhao, Mark S. Silverberg, Vito Annese, Håkon Håkonarson, Steven R. Brant, Graham Radford‐Smith, Christopher G. Mathew, John D. Rioux, Eric E. Schadt, Mark J. Daly, André Franke, Miles Parkes, Séverine Vermeire, Jeffrey C. Barrett, Judy H. Cho
Bibliographic record
VenueNature · 2012
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsMount Sinai HospitalMcGill University Health CentreRoyal Victoria Regional Health CentreUniversité de MontréalUniversity of TorontoRoyal Victoria HospitalMontreal Heart Institute
FundersNational Cancer InstituteHelmholtz Zentrum MünchenNational Health and Medical Research CouncilInflammatory Bowel and Immunobiology Research InstituteNational Center for Research ResourcesNational Institute of Allergy and Infectious DiseasesVersus ArthritisNational Institutes of HealthSvenska LäkaresällskapetKarolinska InstitutetCrohn's and Colitis UKMinistero della SaluteDiabetes UKFonds Wetenschappelijk OnderzoekU.S. Public Health ServiceNational Human Genome Research InstituteFonds De La Recherche Scientifique - FNRSNational Institute for Health and Care ResearchBundesministerium für Bildung und ForschungCedars-Sinai Medical CenterDeutsche ForschungsgemeinschaftUniversitetssjukhuset ÖrebroKing's College LondonCrohn's and Colitis Foundation of AmericaNational Institute of General Medical SciencesCrohn's and Colitis FoundationMünchner Zentrum für GesundheitswissenschaftenExzellenzclusters EntzündungsforschungBritish Heart FoundationWellcome TrustNational Institute of Child Health and Human DevelopmentNational Institute of Diabetes and Digestive and Kidney DiseasesÖrebro UniversitetNational Center for Advancing Translational SciencesMedical Research CouncilLeona M. and Harry B. Helmsley Charitable Trust
KeywordsInflammatory bowel diseaseHost (biology)DiseaseInflammatory Bowel DiseasesGenetic architectureBiologyMedicineGeneticsPathologyGenePhenotype
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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.001
Threshold uncertainty score0.006
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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 head0.010
GPT teacher head0.282
Teacher spread0.272 · 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 designNot applicable
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
Citations4,859
Published2012
Admission routes1
Has abstractno