Association of a Marker in the Vitamin D Receptor Gene with Marek's Disease Resistance in Poultry
Bibliographic record
Abstract
Vitamin D is an important immunomodulator that mediates its effect via a nuclear receptor. In this study, we analyzed 3 uncorrelated genetic markers (tag single nucleotide polymorphisms) in the vitamin D receptor gene for association with Marek's disease (MD) resistance. The database consisted of 400 commercial White Leghorn chickens that had been vaccinated with herpes turkey virus and challenged by intraperitoneal injection of the virulent MD virus RB1B. Viral titers in feather tips were determined at weekly intervals for 8 wk, mortality was recorded, and necropsy analyses preformed on all chickens. The 3 genotypes defined by 1 of the markers were associated with significant differences in the viral load (integration of the viral titer over time; P = 3 x 10(-4)). The effect was additive, with the 2 homozygotes differing by a factor of 2. The ranking of the genotypes by viral load, frequency of MD lesions, mortality, and bursal atrophy were consistent. There was no effect on the tissue distribution of MD lesions. The degree of MD resistance in the 9 genotypes defined by the 3 tag single nucleotide polymorphisms was proportional to the frequency of major histocompatibility complex class II-positive peripheral blood leukocytes that had been previously measured in uninfected chickens in a different database.
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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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".