Bovine<i>PGLYRP1</i>polymorphisms and their association with resistance to<i>Mycobacterium avium</i>ssp.<i>paratuberculosis</i>
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Mycobacterium avium ssp. paratuberculosis (MAP) causes a chronic, granulomatous inflammatory condition of the intestines in ruminants and wild-type species. It causes significant economic losses to the dairy and beef industries owing to reduced productivity, premature culling and mortality. Bovine peptidoglycan recognition protein 1 is an important pattern recognition molecule that is capable of directly killing microorganisms. The goal of this study was to identify single nucleotide polymorphisms (SNPs) in the gene encoding bovine peptidoglycan recognition protein 1 and to assess their association with susceptibility to MAP infection in dairy cattle. Blood and milk samples were collected from Holsteins in Southwestern and Eastern Ontario and tested for MAP infection using blood and milk ELISAs. A resource population consisting of 197 infected (S/P > 0.25) and 242 healthy (S/P < 0.10) cattle was constructed. Sequencing of pooled DNA was used to identify three SNPs (c.102G>C, c.480G>A and c.625C>A) that were genotyped in the resource population. Statistical analysis was performed using a logistic regression model fitting the additive and dominance effects of each SNP in the model. SNP c.480G>A (P = 0.054) was found to be associated with susceptibility to MAP infection. Cows with a copy of the major allele 'G' at this locus had an odds ratio of 1.51 (95% CI: 0.99-2.31) for being infected with MAP.
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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.
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it