A novel 28-bp insertion–deletion polymorphism within goat <i>PRNP</i> gene and its association with production traits in Chinese native breeds
Bibliographic record
Abstract
In this study, a novel 28-bp insertion-deletion (indel) polymorphism (AJ298878:g.47836-47853insCCTCAGACACTGAGTCTCCCCAACAGCA) was found in goat prion protein (PRNP) gene in 2373 goats from 13 Chinese native breeds. The frequencies of allele "ins" varied from 0.500 to 1.000 in different breeds. The establishment of association of the 28-bp indel polymorphism with production traits was performed in Inner Mongolia white cashmere (IMWC) and Xinong Sannen dairy (XNSN) breeds. Two significant associations between this polymorphism and 1-year-old body mass (P = 0.011) and average body mass (P = 0.024) were observed in IMWC breed, as well as wool thickness of 3-year-olds (P < 0.001). Furthermore, the novel 28-bp indel polymorphism was significantly associated with total solids in the evening (%) (P = 0.009) and milk yield (P = 0.016) in XNSN breed. These findings suggested that the 28-bp indel polymorphism was a potential DNA marker for eliminating or selecting preferred individuals in relation to production traits in goat marker-assisted selection breeding while carrying out preventing scrapie project.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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".