Linkage mapping of <i>Microphthalmia‐associated transcription factor</i> to cattle chromosome 22
Bibliographic record
Abstract
Allele frequencies/Mendelian inheritance: Allele frequencies of SNP T-233C and SNP C641T were estimated in samples of unrelated (no full sibs) animals from six pig breeds (Table 2).Mendelian inheritances at the two SNP loci were confirmed in a three-generation population of White Duroc • Chinese Erhualian intercross.Association analysis: As the allele C of SNP C641T was fixed in the Duroc population, possible associations of the gene variant T-233C with backfat thickness were only calculated for the individuals of a purebred Duroc population using the General Linear Model procedure of the SAS package (version 8.2; SAS Inc., 2001, Cary, NC, USA).The model used genotype as fixed effect and sex as covariate.Twenty-two homozygotes of genotypes CC, 10 TT-homozygotes and thirtyseven heterozygotes were detected.No significant correlations of the T-233C polymorphism with backfat thickness were observed in the purebred Duroc population (P > 0.05, data not shown).Comments: The physiological role of the SCD gene in the lipid metabolism supports the hypothesis of SCD as a candidate gene for fatness traits in livestock.Nevertheless, the SNP T-233C located in the promoter was shown to have no major effects on backfat thickness in the Duroc population, indicating that the mutation may not alter the SCD expression.Additional polymorphisms of the porcine SCD gene have been recently characterized and deposited in the database (GenBank accession no.AY487830).Further association studies using appropriate populations may be worthwhile.
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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 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| 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) | 0.004 | 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".