Variations in MHC-DRB1 exon2 and associations with Brucellosis susceptibility in Chinese Merino sheep
Bibliographic record
Abstract
Abstract The aim of this study was to investigated the association between MHC-DRB1 exon2 and Brucellosis susceptibility in Chinese Merino sheep. MHC-DRB1 exon2 was amplified by polymerase chain reaction (PCR) from 126 healthy and 67 Brucellosis-infected Chinese Merino sheep. PCR products were analyzed using the SSCP technique, and then cloned to allow sequencing of the different alleles. For each SNP, allelic and genotypic frequencies were compared between case and control samples, in addition the association with Brucellosis susceptibility was determined. Haplotypes and their frequencies were established and analyzed by SHEsis online software. There were forty-one single nucleotide polymorphisms (SNPs) in the 270 bp DNA sequence. The distribution of C>T alleles at locus 109 was significantly different between case and control samples. The linkage disequilibrium (LD) analysis showed that there were nine LD blocks in MHC-DRB1 exon2 and strong LD between SNPs existed in every Block. Haplotype analysis identified nine haplotypes with strong LD, but only Hap8 and Hap9 in case-control groups were significantly different ( P <0.05); neither haplotype contained the C>T allele at locus 109. In conclusion, genetic variants of MHC-DRB1 gene exon2 demonstrated associations with Brucellosis susceptibility, indicating that further research is warranted. Abbreviations MHC Major Histocompatibility Complex OLA Ovine Lymphocyte Antigen SNP Single Nucleotide Polymorphism
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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 | 0.000 | 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) | 0.001 | 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".