A population-based association study of toll-like receptor signaling pathway gene polymorphisms in chronic rhinosinusitis
Bibliographic record
Abstract
La rhinosinusite chronique (RSC) est une maladie fréquente qui cause l'inflammation des sinus. Les récepteurs Toll-like (TLR) sont importants dans l'immunité innée, répondant aux microorganismes. Nous avons évalué les polymorphismes ponctuels de séquence (SNPs) dans les gènes codant les voies de signalisation TLR chez 206 patients atteints de RSC sévère et 200 témoins. Nous avons aussi investigué l'association entre ces SNPs et le niveau d'IgE sanguin. En tout, 96 sur 104 SNPs ont été génotypés avec succès. Bien que nous ne pouvions pas confirmer l'association avec la RSC, 3 SNPs dans le gène IRAK4 – rs1461567, rs4251513, and rs4251559 – étaient associés a un niveau d'IgE sanguin élevé (p < 0.004). Le résultat a été répliqué dans une seconde population indépendante d'individus souffrant d'asthme provenant du Saguenay-Lac-Saint-Jean (p < 0.031). Ces résultats suggèrent qu'une modification génétique dans le gène IRAK4 prédispose à un niveau élevé d'IgE dans les maladies respiratoires.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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.
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".