P101 The UK IBD BioResource: progressing from genetics to function and clinical translation in Crohn’s disease & ulcerative colitis
Bibliographic record
Abstract
<h3>Introduction</h3> Inflammatory Bowel Disease (IBD) affects ~500,000 people in the UK causing relapsing intestinal inflammation. Eight years ago, the UK IBD Genetics Consortium and the NIHR BioResource launched the IBD BioResource. This aims to deliver a large national platform of 50,000 patients with Crohn’s disease (CD) and ulcerative colitis (UC) all with rich genetic and phenotypic data to facilitate downstream translational research by any investigator. <h3>Methods</h3> Building the IBD BioResource panel: Upon patient enrolment at UK participating hospitals, detailed phenotype data are obtained through a clinical data sheet while health and lifestyle information are acquired via a patient questionnaire. Plasma, serum and DNA samples are banked – the latter to generate genetic data. Recently diagnosed patients additionally provide stool and biopsies and longitudinal follow-up via PROM questionnaires. Patients provide consent for access to their healthcare records and for contact regarding future studies, including recall studies. Keeping the IBD BioResource panel current: In Q4 2023 we launched a data refresh for all patients recruited pre-pandemic. We are updating core IBD phenotypes and treatment response data as many have been started on new treatments since joining the IBD BioResource. Accessing the IBD BioResource panel: Access to our panel of patients and their data is open to any investigators from science or industry. Studies may involve access to data only, to data and banked samples or to patients via recall. Submitted research proposals are reviewed by the Public and Patient Review Group as well as NIHR BioResource Steering Committee or the Data Access Committee, as appropriate. Approvals are granted on scientific merits and projected benefit to patients. <h3>Results</h3> <h3>Recruitment</h3> IBD BioResource is open in >100 UK hospitals. It has recruited ~45,000 patients with established IBD and ~1,000 with a new diagnosis. To date ~30,000 samples have undergone genome wide analyses (GWAS and whole exome or genome sequencing). Over 10,000 records have now been updated for core phenotype and advanced therapy. Research translation: Since the launch of the IBD BioResource >90 research applications have been received, >50 of which have been supported. These span data analytics to functional genomics and trial recruitment to pharmacovigilance. Details will be provided. <h3>Conclusion</h3> The IBD BioResource is on course to achieving its recruitment target ahead of 2025 and via its research platform remains committed to facilitating and furthering knowledge in IBD for the benefit of all Crohn’s and colitis patients.
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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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.012 | 0.039 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.007 | 0.006 |
| Insufficient payload (model declined to judge) | 0.171 | 0.098 |
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.
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.
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".