Interactive Science · Educational Tool

Polygenic Risk Score
Calculator.

Select genotypes for each variant and watch your percentile update in real time. Every calculation uses the same peer-reviewed GWAS effect sizes and population statistics that power AuraGen reports.

RUOEducational demonstration only · Not diagnostic
01
Select a panel
Choose a disease or trait to explore — CAD, breast cancer, GLP-1 response, and more.
02
Set genotypes
For each GWAS variant, choose ref/ref, ref/alt, or alt/alt based on a hypothetical genome.
03
Score calculated
Each variant contributes risk_allele_count × ln(OR). All contributions sum to a raw PRS.
04
Percentile assigned
Raw score is Z-scored against a reference population and converted to a percentile via Φ(z).
Select a panel
Load a preset profile
Coronary Artery Disease · 5 variants
Click + to expand any variant for the full science
rs4977574ANRIL / 9p21.3
9p21.3 CAD locus
rs11206510PCSK9
PCSK9
rs3798220LPA
Lipoprotein(a)
rs13330499p21.3 (second)
9p21.3 secondary
rs17465637MIA3
MIA3 / TANGO1
Evidence base

Patel et al. Nature Medicine 2023 · CARDIoGRAMplusC4D · UK Biobank n=337,000+

Live PRS result
Coronary Artery Disease
0
th percentile
Elevated
0th — Lowest50th — Average100th — Highest
< 40th
Favorable
40–60th
Average
60–75th
Slightly Elevated
> 75th
Elevated

CAD PRS models are among the best-validated in medicine. A top-decile PRS confers ~3× higher lifetime risk vs the bottom decile.

Methodology

The mathematics behind the score.

AuraGen uses the weighted sum method — the international standard for polygenic risk score calculation, used by the PGS Catalog, UK Biobank, and all major GWAS consortia.

Step 1
Weight each variant
w_i = ln(OR_i)

Convert the odds ratio from the GWAS study to a log-odds weight. ln(OR=1.25) = 0.223. This is the effect size per risk allele on the log scale.

Step 2
Sum contributions
PRS = Σ (count_i × w_i)

For each variant, multiply the weight by how many risk alleles the individual carries (0, 1, or 2). Sum all contributions. More risk alleles across more variants = higher PRS.

Step 3
Convert to percentile
pct = Φ((PRS − μ) / σ) × 100

Subtract the population mean and divide by the population SD to get a Z-score. Apply the normal CDF (Φ) to convert to a percentile. Population parameters come from UK Biobank calibration.

Reference populations
UK Biobank
n=337,119 · Primary CAD, BMD, metabolic panels
BCAC Consortium
n=228,951 · Breast cancer panel
CARDIoGRAMplusC4D
n=185,000 · Coronary artery disease panel
PGS Catalog
curated validated models · pgscatalog.org
Important limitations
PRS models are primarily validated in European-ancestry populations. Multi-ancestry models are in development.
A high PRS reflects genetic predisposition, not certainty of developing a condition.
PRS captures common variant effects only — rare high-penetrance variants (BRCA1/2, Lynch syndrome) require clinical genetic testing.
Percentiles compare against the reference population, not the general global population.
Ready for your actual results?

This was a demonstration.
Your genome is the real thing.

Order a WES or WGS kit and AuraGen will run these exact calculations — plus pharmacogenomics, skin genomics, and wellness panels — against your actual sequenced genome.

Order a kit →How to read your report
⚠ Educational Tool — Research Use Only

This interactive calculator is an educational demonstration of polygenic risk score methodology. All calculations use published GWAS effect sizes from peer-reviewed literature, but this tool uses hypothetical genotype inputs and is not connected to any real patient data. It is not an FDA-cleared diagnostic tool and does not constitute medical advice. Real AuraGen reports are generated from sequenced patient DNA and are Research Use Only (RUO). Always consult a qualified healthcare provider before making medical decisions based on genetic information. © 2026 AuraGen Wellness · auragenwellness.com