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endocrine · Mechanism Report

Can MCM8, FSHB, and FSHR variants influence menopause timing and ovarian hormone response?

These variants can shift the probability of menopause timing, FSH regulation, and ovarian responsiveness, but they do not predict individual outcomes deterministically.

PlausibleOctober 2, 202617 Sources

Reasoning Paths

Each route from condition to outcome carries a support score — the product of its edge weights. Select one to isolate it on the figure.

This is what AI claimed

MCM8 rs16991615, FSHB rs10835638, and FSHR rs6166 can influence menopause timing, FSH regulation, or ovarian responsiveness, although their effects are probabilistic rather than deterministic.

laying out figure…
6 of 9 paths supported
UnsupportedPlausibleSupported

How to read the figure

Evidence state

  • ●EstablishedStrong, replicated evidence.
  • ◐ModerateEvidence-informed; limited or moderate.
  • ◇PlausibleMechanistically coherent, not established.
  • ✕UnsupportedTested and not supported — link breaks.
  • ?MissingNo evidence either way — untested.

Node shapes

  • BiomarkerA measurable state — a lab value, hormone, or genetic factor.
  • ProcessA biological process, pathway, or mechanism step.
  • ConditionA condition, exposure, intervention, or symptom.
  • OutcomeThe endpoint the claim leads to.

Executive summary

The claim says MCM8 rs16991615 is associated with menopause timing, FSHB rs10835638 with FSH regulation, and FSHR rs6166 with ovarian responsiveness. The mechanism framing shows small, polygenic effects on the hypothalamic-pituitary-ovarian axis and related reproductive processes, with probabilities shifted at the population level rather than fixed individual predictions.

Verified conclusion

Menopause timing, gonadotropin regulation, and ovarian response are polygenic, physiologically dynamic traits. These three variants have measurable associations, but their clinical meaning is an average shift in probability—not an individual forecast.

Clinical and endocrine evidence

  • MCM8 rs16991615 has the clearest association with age at natural menopause. Predominantly European-ancestry GWAS linked the A allele to approximately 1.07 years later menopause per allele (P=1.2×10⁻²¹); effects in other populations vary with ancestry and allele frequency.
  • FSHB rs10835638 (−211G>T) is associated with altered FSH regulation. In normally cycling women, TT homozygosity was associated with approximately 2.05 IU/L higher serum FSH in one study, although genotype groups overlap substantially. In another cohort, the variant explained about 3.6% of measured FSH variation.
  • FSHR rs6166 is associated with modest differences during controlled ovarian stimulation: one meta-analysis found 0.84 more retrieved oocytes for AA versus GG, while another associated the Ser allele with poor response (OR 1.29). Effects differ by ancestry and gonadotropin formulation.

Mechanistic context

  • The FSHB T allele directly reduces promoter activity in vitro to about 46–58% of the G allele’s activity. Its association with higher circulating FSH likely reflects compensatory endocrine regulation rather than a simple transcription-to-serum relationship.
  • In ovulatory women, T alleles were also associated with higher LH and lower progesterone, supporting broader hypothalamic–pituitary–ovarian axis effects.

Clinical interpretation

  • Genetic effects are small relative to overall variation: four menopause-associated variants explained 1.4% of menopause-age variance in one cohort, and a broader risk score explained 4.8%.
  • Bottom line: The claim is supported. These variants can shift population-level likelihoods of menopause timing, FSH-related physiology, or stimulation response, but should not be used alone to predict an individual woman’s menopausal age, hormone levels, or FSH dose requirement.

References

  1. Figure 2 — pmc.ncbi.nlm.nih.gov ↗
  2. Genetic markers of ovarian follicle number and menopause in women of multiple ethnicities — link.springer.com ↗
  3. Replication of genetic loci for ages at menarche and menopause in the multi-ethnic Population Architecture using Genomics and Epidemiology (PAGE) study — pmc.ncbi.nlm.nih.gov ↗
  4. Meta-analysis of loci associated with age at natural ... — academic.oup.com ↗
  5. FSHB promoter polymorphism within evolutionary ... — pmc.ncbi.nlm.nih.gov ↗
  6. Effects of the FSH-β-subunit promoter polymorphism -211G->T on the hypothalamic-pituitary-ovarian axis in normally cycling women indicate a gender-specific regulation of gonadotropin secretion - PubMed — pubmed.ncbi.nlm.nih.gov ↗
  7. FSHB −211 G>T is a major genetic modulator of reproductive ... — academic.oup.com ↗
  8. Effect of follicle-stimulating hormone receptor Asn680Ser polymorphism on the outcomes of controlled ovarian hyperstimulation: an updated meta-analysis of 16 cohort studies — pmc.ncbi.nlm.nih.gov ↗
  9. Clinical relevance of genetic variants of gonadotrophins and ... — academic.oup.com ↗
  10. Association of FSHR gene polymorphisms with poor ovarian response in patients undergoing IVF: A systematic review and meta-analysis - PubMed — pubmed.ncbi.nlm.nih.gov ↗
  11. Common genetic variants are significant risk factors for ... — pmc.ncbi.nlm.nih.gov ↗
  12. Genetically Determined Dosage of Follicle-Stimulating Hormone ... — academic.oup.com ↗
  13. A GWAS in Idiopathic/Unexplained Infertile Men Detects a Genomic ... — academic.oup.com ↗
  14. Effect of Genetic Variants of Gonadotropins and Their ... - PMC — pmc.ncbi.nlm.nih.gov ↗
  15. Pharmacogenetics of FSH Action in the Male - PMC — pmc.ncbi.nlm.nih.gov ↗
  16. Clinical relevance of genetic variants of gonadotrophins and their receptors in controlled ovarian stimulation: a systematic review and meta-analysis — academic.oup.com ↗
  17. Effects of the FSH-β-Subunit Promoter Polymorphism −211G→T on the Hypothalamic-Pituitary-Ovarian Axis in Normally Cycling Women Indicate a Gender-Specific Regulation of Gonadotropin Secretion — academic.oup.com ↗

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