Associations of Polymorphisms in Anti-Müllerian Hormone (AMH Ile49Ser) and its Type II Receptor (AMHRII -482 A>G) on Reproductive Outcomes and Polycystic Ovary Syndrome: a Systematic Review and Meta-Analysis
Bibliographic record
Abstract
BACKGROUND/AIMS: Reported associations of reproductive outcomes (RO) and polycystic ovary syndrome (PCOS) with genotypes of the Ile49Ser and -482A>G polymorphisms in the Anti-Müllerian hormone (AMH) gene and its type II receptor (AMHRII), respectively, have conflicting results. METHODS: PubMed, Google Scholar and Science Direct databases were searched for studies that investigated Ile49Ser and -482A>G in RO and PCOS. Using the metaanalytic approach, we estimated risk (odds ratio [OR] with 95% confidence intervals) using standard genetic models. RESULTS: All calculated summary effects were non-significant. Overall associations of Ile49Ser and -482A>G with RO were absent (OR 0.95-0.99, P = 0.76-0.96) but implied increased risk in PCOS (OR 1.07-1.17, P = 0.49-0.55). Where heterogeneity of the pooled ORs were present, its sources were explored using the Galbraith plot. Detection and omission of the outlying studies in both polymorphisms not only erased heterogeneity of the recalculated pooled outcomes but also changed direction of association, where null effects turned to increased risk (Ile49Ser in RO) and increased risk became reduced risk (-482A>G in PCOS). Implications of the Ile49Ser and -482A>G, effects pointed to protection for Caucasians (OR 0.64-0.89, P = 0.36-0.73) in RO and increased risk in PCOS (OR 1.19-1.45, P = 0.28-0.65). Asian effects in RO and PCOS were variable (OR 0.97-1.24, P = 0.58-0.91). CONCLUSIONS: In summary, we found no evidence of significant associations of Ile49Ser and -482A>G with RO and PCOS, although contrasting Ile49Ser effects were implied among Caucasians between RO (up to 0.36% reduced risk) and PCOS (up to 1.5-fold increased risk).
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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 | 0.007 | 0.016 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.013 | 0.025 |
| Bibliometrics | 0.005 | 0.007 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| 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".