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Genetic architecture of the inflammatory bowel diseases across East Asian and European ancestries
Zhanju Liu, Ruize Liu, Han Gao, Seulgi Jung, Xiang Gao, Ruicong Sun, Xiaoming Liu, Yong‐Jae Kim, Ho‐Su Lee, Yosuke Kawai, Masao Nagasaki, Junji Umeno, Katsushi Tokunaga, Yoshitaka Kinouchi, Atsushi Masamune, Wenzhao Shi, Chengguo Shen, Zhenglin Guo, Kai Yuan, María T. Abreu, Jean–Paul Achkar, Vibeke Andersen, Çharles N. Bernstein, Steven R. Brant, Luís Bujanda, Siew C. Ng, Lee A. Denson, Richard H. Duerr, Lynnette R. Ferguson, Denis Franchimont, André Franke, Richard B. Gearry, Håkon Håkonarson, Jonas Halfvarson, Caren Heller, Antonio Julià, Judith R. Kelsen, Hamed Khalili, S. Kugathasan, Juozas Kupčinskas, Anna Latiano, Édouard Louis, Reza Malekzadeh, Jacob L. McCauley, Christopher J. Moran, David Okou, Tim Orchard, Aarno Palotie, Miles Parkes, Joel Pekow, Uroš Potočnik, Graham Radford‐Smith, John D. Rioux, Gerhard Rogler, Bruce E. Sands, Mark S. Silverberg, Harry Sokol, Séverine Vermeire, Rinse K. Weersma, Ramnik J. Xavier, Naizhong Hu, Qian Cao, Yufang Wang, Yinglei Miao, Hongjie Zhang, Xiaoping Lv, Hu Zhang, Jingling Su, Bai–Sui Feng, Ye Zhao, Liangru Zhu, Yan Chen, Lanxiang Zhu, Chunxiao Chen, Yali Wang, Ying-De Wang, Zhi Pang, Yingxuan Chen, Xiaolan Zhang, Hui Li, Yu Qin, Mei Ye, Sumin Zhang, Wen Tang, Mei Wang, Xiaocang Cao, Ruixin Zhu, Guangxi Zhou, Zhaolian Bian, Xiao‐Feng Guo, Xiaoli Wu, Jinchun Liu, Wei Xu, Yuqin Li, Qin Guo, Zhiguo Guo, Shu Zhu, Dalin Li, Jianjun Liu, Tian Ge, Judy H. Cho, Mark J. Daly, Dermot McGovern, Byong Duk Ye, Kyuyoung Song, Yoichi Kakuta, Mingsong Li, Hailiang Huang
Bibliographic record
VenueNature Genetics · 2023
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsMontreal Heart InstituteMount Sinai HospitalUniversity of Manitoba
FundersSchool of Life Sciences and Biotechnology Division of Life Sciences, Korea UniversityJapan Society for the Promotion of ScienceUniversity of Science and Technology of ChinaNational Human Genome Research InstituteGenome Institute of SingaporeNational Research Foundation of KoreaNational Natural Science Foundation of ChinaNational University of SingaporeNational Research FoundationMassachusetts General HospitalHelsinki Institute of Life Science, Helsingin YliopistoNational Center for Global Health and MedicineNational Institute of Diabetes and Digestive and Kidney DiseasesStanley Center for Psychiatric Research, Broad InstituteKelaGuangzhou Medical UniversityBroad InstituteCedars-Sinai Medical CenterJapan Agency for Medical Research and DevelopmentTongji UniversityUniversity of UlsanHelsingin Yliopisto
KeywordsBiologyInflammatory bowel diseaseGenetic architectureInflammatory Bowel DiseasesGeneticsComputational biologyEvolutionary biologyDiseaseGenePhenotypeMedicineInternal medicine
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 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.025
Threshold uncertainty score0.701
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 head0.005
GPT teacher head0.232
Teacher spread0.227 · 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.
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
Citations218
Published2023
Admission routes1
Has abstractno