Trait

Age at Menopause

Reviewed September 12, 2026

When menopause happens is highly heritable, and three studies on two continents keep landing on the same kind of gene: DNA repair. Early menopause, affecting up to 10% of women, turns out to share the same genetic architecture as ordinary variation in timing, not a separate cause.

What this condition connects to

Age at Menopause Variant: rs10852344 rs10852344 Variant Variant: rs12461110 rs12461110 Variant Variant: rs16991615 rs16991615 Variant Variant: rs1046089 rs1046089 Variant Variant: rs10183486 rs10183486 Variant Variant: +30 more +30 more Variant Topic: Menopause Menopause Topic Topic: Fertility Fertility Topic Topic: Longevity and ageing Longevity and ageing Topic Age at Menopause Age at Menopause Trait

Solid lines are connections this site curates. Dashed lines mean the two ends share a research paper — worth knowing, and not a claim that one explains the other.

Prevalence
Age at natural menopause is a continuous trait studied in 38,968 women (Stolk et al. 2012, PMID:22267201) and 67,029 women (Horikoshi et al. 2018, PMID:29773799). Early menopause specifically — before age 40 — affects up to 10% of women and is a leading cause of infertility (Perry et al. 2013, PMID:23307926).
Inheritance
Polygenic: 15 common variants on this site alone across three studies, converging heavily on DNA repair and immune-function genes. The same loci associated with ordinary variation in menopause timing are also associated with early menopause and primary ovarian insufficiency, indicating shared genetic architecture rather than a separate cause for the early extreme.

Age at natural menopause varies substantially between women and is one of the more heritable common traits studied in human genetics. Three studies, spanning European and Japanese cohorts and both ordinary and clinically early menopause, converge on a real biological story rather than a scattered gene list.

DNA repair, showing up again and again

Stolk et al. 2012 meta-analysed 22 genome-wide association studies in 38,968 women of European descent, replicating in up to 14,435 more, and found 13 new loci beyond four already known. The candidate genes at these loci cluster strikingly around two biological themes: DNA repair (rs1635501 in EXO1, rs10183486 in TLK1, among others) and immune function (rs12461110 in NLRP11). Pathway analysis pointed specifically to exonuclease activity, NF-κB signalling and mitochondrial dysfunction. Seven of this page's variants come from here.

Horikoshi et al. 2018 studied up to 67,029 women of Japanese ancestry — most prior menopause genetics had been European-only, a real gap this study closed. It found 26 loci for reproductive ageing overall, highlighting GNRH1, the gene for the master reproductive hormone that governs the hypothalamic-pituitary-gonadal axis, as a menopause-timing candidate — evidence that the brain's own reproductive hormone signalling plays a direct role, not just the ovary ageing passively on its own. One gene, MCM8 — part of the cellular machinery that licenses DNA to replicate — turned up independently in both this Japanese study and the 2012 European one above: the same gene, a different ancestry, the same finding. Seven of this page's variants come from here.

The DNA-repair theme is not a coincidence of two papers happening to name similar genes. A plausible mechanism connects it directly to biology: oocytes are formed once, before birth, and must survive and remain capable of accurate DNA repair for decades until they are used or lost. Genetic variation that shifts how well that repair machinery works, over that much time, is exactly the kind of thing that would show up as variation in how long the ovarian reserve lasts.

Day et al. 2015 pushed the DNA-repair connection further, in a dual study of common and rare protein-coding variants across roughly 70,000 women. It found 44 regions with common variants (plus 2 more carrying rare, large-effect missense alleles), enrichment near genes involved in the onset of puberty — the first molecular link between the start and end of reproductive life — and, most strikingly, the first common coding variant in BRCA1 ever associated with any complex trait. Using Mendelian randomization, the same study found evidence that later menopause causally raises breast cancer risk by roughly 6% per year of delay, likely through prolonged exposure to sex hormones rather than through the DNA-repair mechanism itself. rs5762534, on this page, sits in CHEK2 — itself a well-known DNA-damage-response and breast-cancer-susceptibility gene, in the same family of biology as BRCA1. Twenty of this page's variants come from this study.

The same genetics, at its earliest extreme

Perry et al. 2013 asked a related but distinct question: is early menopause — occurring before age 40, affecting up to 10% of women and a leading cause of infertility — genetically separate from ordinary variation in timing, or the same architecture pushed further? Meta-analysing 3,493 early-menopause cases and 13,598 controls across 10 studies, the study found no new loci of its own, but confirmed that the 17 variants already known for normal age at menopause were also associated with early menopause and primary ovarian insufficiency. One of this page's variants, rs1046089 in PRRC2A, comes from this study. The same genetic architecture underlies both the ordinary range of variation and its clinically significant early extreme — not two separate causes.

Clinical detail

What is actually diagnosed and treated here

Menopause, and early menopause specifically, are diagnosed clinically — by menstrual history and, when early or uncertain, hormone testing — not by genotype. Early menopause and primary ovarian insufficiency are managed by a gynaecologist or endocrinologist, with treatment decisions (hormone therapy, fertility counselling where relevant) made on clinical grounds. None of the 15 variants on this page changes that.

The genuinely useful idea here is mechanistic: a real, replicated signal points at DNA repair capacity as a plausible reason ovarian reserve runs out when it does, and the finding that the same variants predict both ordinary timing and its early extreme is a coherent, biologically satisfying result rather than two unrelated findings sharing a page. None of that translates into a predictive test for any individual woman — these are population-level associations from studies of thousands, not a way to tell one person when her own menopause will occur.

Related variants MyGeneLog™ checks for

What a 23andMe/AncestryDNA export or raw VCF can and can't tell you about Age at Menopause comes down to these specific, well-studied positions — not a diagnosis. 35 positions are linked to this page; the ones this page's own text discusses are shown first.

Standard

Menopause (age at onset)

near NPIPB2 · rs10852344

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Standard

Menopause (age at onset)

NLRP11 · rs12461110

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Standard

Menopause (age at onset)

MCM8 · rs16991615

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Standard

Menopause (age at onset)

PRRC2A · rs1046089

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Standard

Menopause (age at onset)

TLK1 · rs10183486

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Standard

Menopause (age at onset)

near ARL14EP · rs12294104

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Standard

Menopause (age at onset)

EXO1 · rs1635501

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Standard

Menopause (age at onset)

SYCP2L · rs2153157

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Standard

Menopause (age at onset)

ZAR1 · rs10049761

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Standard

Menopause (age at onset)

CCNJ · rs1889921

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Menopause (age at onset)

ZCCHC2 · rs200296776

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Standard

Menopause (age at onset)

RAD21 · rs2921759

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Standard

Menopause (age at onset)

UIMC1 · rs34933909

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Standard

Menopause (age at onset)

H1FX · rs4853

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Standard

Menopause (age at onset)

MCM8 · rs76498344

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Standard

Menopause (age at onset)

FBXO18 · rs10905065

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Standard

Menopause (age at onset)

SH3PXD2B · rs11738223

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Standard

Menopause (age at onset)

RAD54L · rs12142240

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Standard

Menopause (age at onset)

REV3L · rs12196873

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Standard

Menopause (age at onset)

MSH5 · rs2230365

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Standard

Menopause (age at onset)

EXO1 · rs2236918

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Standard

Menopause (age at onset)

UIMC1 · rs2241584

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Standard

Menopause (age at onset)

ASCL1 · rs6856693

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Standard

Menopause (age at onset)

SYCP2L · rs6899676

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See all 35 linked variants →

Which ancestries this evidence comes from

The studies behind these variants recruited participants from different ancestries — a result found in one population doesn't always transfer to another. Based on 35 of 35 linked studies with a resolved discovery ancestry.

European · 80.0% East Asian · 20.0%

Sources

Databases, guidelines and references

Papers, with their authors

Questions about Age at Menopause

Can these variants predict when I will go through menopause?

Not usefully for an individual. These are population-level associations from studies of tens of thousands of women, not a way to predict one person's own timing. Menopause is diagnosed clinically, by menstrual history and hormone testing when needed.

Why do so many of these genes relate to DNA repair?

A plausible mechanism connects them directly: oocytes form once before birth and must maintain accurately repaired DNA for decades until used or lost. Genetic variation affecting how well that repair machinery works is exactly what would be expected to show up as variation in how long the ovarian reserve lasts.

Is early menopause genetically different from ordinary menopause timing?

No — Perry et al. 2013 found that the same variants already known for ordinary age at menopause also predict early menopause and primary ovarian insufficiency. It is the same genetic architecture at an early extreme, not a separate cause.

Why does this page include a study of Japanese women specifically?

Most earlier menopause genetics research was European-only. Horikoshi et al. 2018 closed part of that gap and found real value in doing so — it independently replicated the MCM8 gene found in the earlier European study and additionally highlighted GNRH1, a gene not previously prominent in this research.

Free to reuse. This page's text is original writing from freely-available research, licensed CC BY 4.0 — reuse it, including commercially, with attribution to MyGeneLog™. It's general research-derived information, not medical advice or a diagnosis — see Terms of Use.