Association of CYP19A1 gene polymorphisms with anoestrus in water buffaloes
Bibliographic record
Abstract
Cytochrome P450 aromatase (encoded by the CYP19A1 gene) regulates oestrogen biosynthesis and so plays an essential role in female fertility. We investigated the genetic association of CYP19A1 with the risk of anoestrus in Egyptian water buffaloes. A total of 651 animals (326 anoestrous and 325 cycling) were used in this case-control study. Using single-strand conformation polymorphisms and sequencing, four single nucleotide polymorphisms (SNPs) were detected; c.-135T>C SNP in the 5'UTR and three non-synonymous SNPs: c.559G>A (p. V187M) in Exon 5, c.1285C>T (p. P429S) and c.1394A>G (p. D465G) in Exon 10. Individual SNP-anoestrus association analyses revealed that genotypes (CC, AA and GG) and alleles (C, A and G) of the -135T>C, c.559G>A and c.1394A>G SNPs respectively were high risk for anoestrus. A further analysis confirmed that these three SNPs were in linkage disequilibrium. Additionally, haplotypes with two (TAG/122 and CAA/221) or three (CAG/222) risk alleles were significantly associated with susceptibility to anoestrus, lower blood levels of both oestradiol and antioxidant enzymes (superoxide dismutase, glutathione peroxidase (GPX) and catalase) and downregulated expression levels of CYP19A1, oestrogen receptor α and Gpx3 in the ovary, as well as increased serum level of malondialdehyde. This suggests the occurrence of a high incidence of oxidative ovarian damage and subsequently ovarian inactivity in buffaloes carrying risk alleles. Therefore, with this study we suggest the selection of buffaloes with protective alleles at these SNPs to improve the reproductive efficiency of the herd.
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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 | 0.000 |
| 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".