Prion protein gene (<i>PRNP</i>) polymorphisms in native Chinese cattle
Bibliographic record
Abstract
Polymorphisms in four regions of the bovine prion protein gene (PRNP) confer susceptibility to bovine spongiform encephalopathy (BSE). These polymorphisms include a 23-bp insertion/deletion (indel) in the promoter region, a 12-bp indel in intron 1, an octapeptide repeat or 24-bp indel in the open reading frame, and a single nucleotide polymorphism (SNP) in the coding region. In this study, we investigated the frequency distributions of genotypes, alleles, and haplotypes at these indel sites in 349 native Chinese cattle and sequence variants in 50 samples. Our results showed that cattle in southern China have low frequencies of the 12-bp deletion allele and the 23-bp deletion / 12-bp deletion haplotype, which have been suggested to be relevant to BSE susceptibility. Interestingly, a significant difference was observed between BSE-affected cattle and healthy Chinese cattle in the 12-bp indel polymorphism. A total of 14 SNPs were discovered in the coding region of PRNP in Chinese cattle. Three of these SNPs were associated with amino acid changes (K3T, P54S, and S154N). The E211K substitution that was recently reported in the US atypical BSE case was not detected in this study.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| 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 | 0.000 | 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".