Polymorphisms of anti-Müllerian hormone signaling pathway in healthy Singapore women: population differences, endocrine effects and reproductive outcomes
Bibliographic record
Abstract
In order to study the association of genetic polymorphisms of anti-Müllerian hormone (AMH) signaling pathway with endocrine changes and pregnancy outcomes, a total of 213 women of reproductive ages were recruited according to our inclusion and exclusion criteria between November 2011 and September 2014 in Singapore. Genotyping studies were performed using a minor groove binder primer/probe Taqman assay. The allele frequencies of the AMH Ile(49)Ser and AMHR2 -482A > G polymorphisms were analyzed in relation to female reproductive hormone levels, ovarian parameters, menstrual cycle lengths and pregnancy outcomes. AMH Ser allele frequency and AMHR2 G allele frequency of our Singapore population were compared with those of other populations reported in HapMap. The genotype distributions and allele frequencies for the AMH Ile(49)Ser and AMHR2 -482A > G polymorphisms were not associated with estradiol (E2) levels, ovarian parameters, menstrual cycle length, or pregnancy outcomes in our cohort. Our findings suggest that genetic variants in the AMH signal transduction pathway have population differences but do not appear to have significant effects on ovarian, endocrine, metabolic parameters and reproductive outcomes.
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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 | 0.000 | 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) | 0.002 | 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".