Short Communication: Association analyses of a single nucleotide polymorphism in the promoter of OLR1 with growth, feed efficiency, fat deposition, and carcass merit traits in hybrid, Angus and Charolais beef cattle.
Bibliographic record
Abstract
Vinsky, M., Islam, K., Chen, L. and Li, C. 2013. Short Communication: Association analyses of a single nucleotide polymorphism in the promoter of OLR1 with growth, feed efficiency, fat deposition, and carcass merit traits in hybrid, Angus and Charolais beef cattle. Can. J. Anim. Sci. 93: 193-197. A single nucleotide polymorphism (SNP) in the promoter region of oxidized low density lipoprotein (lectin-like) receptor 1 (OLR1) (c. -495 T>C) was identified and analyzed for associations with 10 traits related to growth, feed efficiency, body fat deposition and carcass merit traits in hybrid (n=456), Angus (n=567) and Charolais (n=423) beef cattle populations. Significant allele substitution effect (P=0.023) was found for residual feed intake (RFI) in the Angus population. The allele “C”, which had a frequency of 0.24 in the Angus population, was associated with decreased RFI. The Angus steers with the “CC” genotype had a lower RFI value (i.e., more efficient) than the Angus steers carrying the ‘TT’ genotype. The SNP was also found to have significant dominance effects on final ultrasound rib-eye area (FUREA) (P=0.0004) and carcass rib-eye area (CREA) (P=0.009) in the Angus steer population. The Angus steers with the “CT” genotype had smaller rib-eye areas of both ultrasound and carcass measures than the average of the steers with the homozygous genotypes. However, the SNP did not show significant associations with the traits examined in either the hybrid or the Charolais steer population at P<0.05. OLR1 plays a role in lipid metabolism, and analyses of transcript binding site based on the transcription element search system revealed that the “T” allele of the c.-495T>C SNP introduces a presumptive binding site for CCAAT/enhancer binding protein alpha (C/EBPa). However, further investigation is required to delineate the possible regulatory role of the SNP on growth and efficiency of energy utilization in relation to different biological types of beef cattle.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.023 | 0.005 |
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".