Association of CYP19A1 gene polymorphisms with anoestrus in water buffaloes
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 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) | 0.000 | 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 it