What is a Polygenic Risk Score?
Most common diseases aren't caused by a single gene. They are influenced by thousands of small genetic variations spread across your genome, each contributing a tiny amount of risk.
A polygenic risk score (PRS) rolls all of those effects up into one number that represents where you sit on the population risk spectrum. A higher score means your DNA puts you at greater genetic risk than the average person; a lower score means less.
Our scores are derived from published genome-wide association studies (GWAS) and ranked against population reference panels so you can see your percentile for each condition.
71 Risk Scores, One Upload
Each condition gets its own card with your percentile, risk estimate, and a comparison to the population average. The report covers cardiovascular, cancer, metabolic, autoimmune, neurological, and other categories.
You also get trait predictions for eye color, hair color, skin tone, and lifestyle traits like chronotype and caffeine metabolism.
Heart Attack
14 Health Categories, 71 Risk Scores
Your polygenic risk scores span these areas of health.
Cardiovascular
- Heart attack
- Atrial fibrillation
- Hypertension
- High cholesterol
- Deep vein thrombosis
- + 4 more
Cancer
- Breast cancer
- Prostate cancer
- Melanoma
- Non-melanoma skin cancer
Metabolic & Hormonal
- Type 2 diabetes
- Type 1 diabetes
- Gout
- Hypothyroidism
- Thyrotoxicosis
Immune & Autoimmune
- Rheumatoid arthritis
- Psoriasis
- Eczema
- Hayfever
- Crohn's & ulcerative colitis
- + 3 more
Neurological
- Alzheimer's disease
- Multiple sclerosis
- Migraine
- Alzheimer's family history
Respiratory & Sleep
- Asthma
- COPD
- Snoring
- Lung function
Musculoskeletal
- Osteoarthritis
- Osteoporosis
- Ankylosing spondylitis
- Bone mineral density
- Grip strength
Blood & Hematology
- White & red blood cell counts
- Hemoglobin
- Platelet count & volume
- Immune cell counts
And More
- Digestive health
- Eye health (glaucoma, cataracts)
- Kidney health
- Body composition (BMI, body fat)
- Mental health & cognition
Each score is based on published, peer-reviewed research. Explore all scores and their performance metrics →
How It Works
Upload
Upload your raw data file from 23andMe, AncestryDNA, MyHeritage, or any WGS provider.
Analysis
Our pipeline calculates polygenic risk scores and predicts traits using published GWAS data.
Report
View your report online or download as PDF. Results are typically ready in about 20 minutes.
Compatible Providers
Consumer Genotyping Arrays
Whole Genome Sequencing (VCF from any provider)
.vcf and .vcf.gz supported. GRCh38 and hg19.
VCF uploads are assumed to be from whole genome sequencing. Do not upload a VCF from a genotyping array. Large VCFs should be compressed (.vcf.gz) before uploading.
Choose Your Report
All tiers are generated from the same upload. Start with Starter or go straight to Full for complete coverage.
Starter
A snapshot of your genetics
- 19 selected polygenic risk scores
- Lifestyle traits (chronotype, coffee, sleep)
- Appearance predictions
Full Report
Complete genetic health analysis
- All 71 polygenic risk scores across 14 categories
- Ancestry-aware percentile rankings
- Odds ratios and confidence intervals
- Population comparison charts
- Appearance & lifestyle trait predictions
- Downloadable PDF report
Immune
Deep dive into immune health
- 16 immune and autoimmune risk scores
- Asthma, eczema, psoriasis, Crohn's, MS
- Immune cell count genetics
- Appearance predictions
Ancestry disclaimer: most polygenic scores are developed primarily in European-ancestry populations, so accuracy may be lower for other ancestries. Each PRS card in your report includes an ancestry note and uses ancestry-aware reference panels where available.
Important Disclaimer
Polygenic risk scores estimate your genetic predisposition to certain conditions. They are not a diagnosis. Disease risk is also influenced by lifestyle, environment, and family history. Discuss your results with a qualified healthcare provider before making medical decisions.
Ancestry note: most polygenic risk scores and trait models are developed and validated primarily in European-ancestry populations. Accuracy may be lower for other ancestries because allele frequencies and linkage patterns can differ. We use ancestry-aware reference panels where possible and flag scores with limited cross-ancestry validation, but you should read percentiles outside European ancestry as approximate rather than exact.