Haplotype combination of the bovine <i>INSIG1</i> gene sequence variants and association with growth traits in Nanyang cattle
Bibliographic record
Abstract
The insulin-induced gene 1 (INSIG1) gene encodes a protein that blocks proteolytic activation of sterol regulatory element binding proteins, which are transcription factors that activate genes that regulate cholesterol, fatty acid, and glucose metabolism. However, similar research for the bovine INSIG1 gene is lacking. Therefore, in this study, polymorphisms of the bovine INSIG1 gene were detected in 643 individuals from four cattle breeds by DNA pooling, forced PCR-RFLP, PCR-SSCP, and DNA sequencing methods. Only 10 novel SNPs were identified, which included four mutations in the coding region and the others in the introns. In Nanyang individuals, seven common haplotypes were identified based on four coding region SNPs. The haplotype GACT, with a frequency of 75.4%, was the most prevalent haplotypes and SNPs formed two linkage disequilibrium blocks with strong multi-allelic D' (D' = 1). Additionally, association analysis between mutations of the bovine INSIG1 gene and growth traits in Nanyang cattle at 6, 12, 18, and 24 months old was performed, and the results indicated that the polymorphisms were not significantly associated with body mass.
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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".