💊 BRCA1/2 Hereditary Cancer Risk Simulator
This model assesses the inherited risk of breast and ovarian cancer due to BRCA1/2 mutations, calculating lifetime risk and providing options for preventive strategies.
Identifying a Pathogenic BRCA1 or BRCA2 Mutation
Genetic testing reveals a pathogenic BRCA mutation, the starting point for risk planning.
- BRCA1/2: Genes tested (DNA repair tumor suppressors)
- Autosomal dominant: Inheritance (50% transmission chance)
- ~1 in 400: Carrier rate (general population, varies by ancestry)
- Sequencing: Test method (blood or saliva sample)
What the test detects
Sequencing finds pathogenic variants disrupting BRCA1/2 repair function.
Why it matters for planning
A positive result reframes future care toward risk-based decisions.
Illustrative educational simulator — not a diagnostic or clinical tool.
General-Population Lifetime Cancer Risk
Baseline risk anchors the comparison before carrier-specific elevation is shown.
- ~12%: Breast cancer, general pop. (lifetime cumulative risk)
- ~1.5%: Ovarian cancer, general pop. (lifetime cumulative risk)
- Age 30+: Typical onset rise (risk accelerates mid-life)
- Gradual: Curve shape (slow cumulative climb)
Reading the baseline curve
Population risk rises slowly, reaching roughly 12% by age 80.
Why this reference matters
Every carrier curve is judged against this population floor.
BRCA Carrier Lifetime Risk, Dramatically Elevated
Untreated carrier risk climbs far above baseline, earlier and much higher.
- ~55–72%: BRCA1 breast risk (illustrative published range)
- ~45–69%: BRCA2 breast risk (illustrative published range)
- ~39–44%: BRCA1 ovarian risk (vs ~1–2% general pop.)
- ~11–17%: BRCA2 ovarian risk (lower, still elevated)
Why risk starts earlier
Repair failure lets damage accumulate from a younger age.
BRCA1 vs BRCA2 magnitude
BRCA1 skews higher overall, especially for ovarian cancer risk.
The gap between curves is the entire rationale for intervention.
Enhanced Surveillance vs Prophylactic Surgery
Two strategies address the same elevated risk very differently in magnitude.
- Detection only: Surveillance effect (earlier catch, same incidence)
- ~90% reduction: Surgery effect (incidence itself falls sharply)
- MRI + mammogram: Surveillance basis (more frequent imaging)
- Mastectomy / RRSO: Surgery basis (removes at-risk tissue)
Surveillance does not lower incidence
More frequent scans catch cancer earlier, not fewer cancers.
Surgery lowers the curve itself
Removing tissue cuts incidence toward the population baseline.
The two strategies act on different parts of the risk curve.
Weighing Risk-Reduction Magnitude Against Surgical Impact
The reduction magnitude differs sharply; the right choice stays personal.
- ~0%: Surveillance reduction (incidence unchanged, earlier catch)
- ~90%: Surgery reduction (toward general-population level)
- Age, family plans: Decision drivers (gene, personal risk tolerance)
- Yes: Pathways combinable (sequential, not exclusive choices)
Comparing the two curves
Surgery flattens the curve; surveillance leaves it unchanged.
A personal, collaborative choice
Genetics teams and patients weigh both paths together.
Neither strategy is universally correct — magnitude is one input among many.
This model assesses the inherited risk of breast and ovarian cancer due to BRCA1/2 mutations, calculating lifetime risk and providing options for preventive strategies.
2D · HTML5 Canvas 2D · 60 FPS target · runs fully client-side, no install