Association study of genetic variants at single nucleotide polymorphism rs109231409 of mannose-binding lectins 1 gene with mastitis susceptibility in Vrindavani crossbred cattle
Bibliographic record
Abstract
Aim:The present study was undertaken to identify whether single nucleotide polymorphism (SNP) rs109231409 located on mannose-binding lectins 1 (MBL1) gene was associated with mastitis tolerance/susceptibility. Materials and Methods:After grouping 100 Vrindavani crossbred cattle as mastitis positive and negative animals, they were genotyped using polymerase chain reaction (PCR)-restriction fragment length polymorphisms method.Gene and genotype frequencies of different patterns were estimated by standard procedure (POPGENE version 1.32, (University of Alberta, Canada) and statistical analysis was carried out by logistic regression methods using STATA 12 software (StataCorp LP, USA). Results:The 588 bp fragment of MBL1 gene was amplified using PCR.PCR product was digested with ApaI restriction enzyme showed two distinct genotypes viz., GG (311 bp and 272 bp fragments) and GA (588 bp, 311 bp and 277 bp fragments).The gene, genotype frequencies, average heterozygosity, polymorphic information content and χ 2 values for the locus rs109231409 was ascertained.Conclusions: No significant association between SNP "rs109231409" with mastitis tolerance was found.Although there is a lack of association, further studies have to be undertaken in a large population in order to validate the impact of rs109231409 (g.855G >A) on mastitis tolerance.
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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 | 0.000 | 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) | 0.002 | 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".