Polygenic Risk & Precision Medicine Simulator

Cardiovascular-Risk Variants

Environmental Factors

Body-mass index 25

Exercise 2 h/wk

Targeted Therapy

Live Readouts

Polygenic risk score

0.00

Population percentile

1st

10-year absolute CVD risk

8.0%

Statin myopathy risk (SLCO1B1-aware)

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How it works

Precision medicine combines a patient's genotype with modifiable environmental exposures to personalize both risk prediction and treatment. Each toggled variant contributes a log-odds weight β to a polygenic risk score (PRS), and environmental terms are added the same way, so the whole model is additive in log-risk space:

PRS = Σ βᵢ · (risk allele present)
log(RR) = PRS + BMIexcess·ln(1.03) − exercise·ln(1.02) + smoking·ln(1.6)
Absolute risk = baseline(8%) × exp(log(RR)) × (0.75 if on statin)

This mirrors how real polygenic risk scores and tools like the Pooled Cohort Equations combine dozens of small-effect variants with clinical risk factors into one number. SLCO1B1*5 does not change cardiovascular risk itself — it changes how the body transports statins into the liver, so carriers on statin therapy face a 2–3× higher myopathy risk. Flagging it before prescribing is a textbook pharmacogenomic safety check, distinct from the risk-scoring variants.

Variant chips — toggle each risk allele on/off; the matching rung on the DNA model turns red (risk allele) or green (reference allele).
BMI / Exercise / Smoker — modifiable environmental risk factors, added on the same log-risk scale as the genetics.
Start Statin Therapy — a genotype-informed intervention: it lowers absolute risk 25%, but the myopathy readout reacts to the SLCO1B1 chip specifically.

The risk bar beside the helix rises and falls with the computed absolute risk in real time; the percentile is the patient's rank among a population whose PRS spans the same variant set.

Risk allele present Reference allele

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