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Polygenic risk scores explained
What a polygenic score is, the 18 conditions DNA Layer scores it for, how the percentile is computed, and the real, documented limitations — including the reference-cohort ancestry gap most tools don't mention.
Last reviewed 18 August 2026What a polygenic score is
Most common conditions aren’t caused by a single gene — they’re influenced by the combined, individually small effect of many genetic variants together. A polygenic score adds up those effects, weighted by how strongly each variant is associated with the condition in large genetic studies, into a single number. On its own that number means little; what matters is where it falls compared to other people — a percentile.
The 18 conditions DNA Layer scores
Each condition maps to one of DNA Layer’s health areas:
- Heart health: Coronary Artery Disease, Atrial Fibrillation, Ischemic Stroke, Venous Thromboembolism
- Metabolic health: Type 2 Diabetes, Gout
- Diseases & prevention: Breast Cancer, Prostate Cancer, Colorectal Cancer, Melanoma, Macular Degeneration, Chronic Kidney Disease
- Mood & brain: Alzheimer's Disease, Parkinson's Disease, Major Depression, Migraine
- Immune system & inflammation: Asthma
- Weight loss: Obesity
How the percentile is computed
The weights come from published GWAS-derived scoring files (PGS Catalog). Your genotypes are scored against those weights, then ranked as a percentile against a reference population — scored on exactly the variants your file covers, so partial coverage doesn’t bias the comparison. The percentile carries a confidence interval, not a single false-precise number. These scores are attached to your report and its agentic export where a condition has enough covered variants to score reliably.
What this number is not
The same three limits appear on every polygenic card DNA Layer shows, at every surface — not just here:
- This is not a diagnosis and it cannot tell you whether you will develop this condition.
- It measures common variants only — it does not look for rare high-impact mutations.
- Lifestyle, environment, age, and family history are not part of this number.
One limitation worth naming explicitly, since it’s common across the polygenic score field and not always disclosed: the comparison group is of European ancestry, so the ranking is less reliable for people of other genetic ancestries. This is a known, documented limitation of the underlying reference data available today, not something specific to any one condition.
Frequently asked questions
How are my results generated?
Variant matching runs in deterministic software against a curated evidence layer, so the same file always produces the same findings. Language models only explain findings that have already been verified, never the raw file.
Does a predisposition mean I will develop a condition?
No. Most findings shift a probability rather than settle an outcome, and lifestyle, environment and chance all still apply. That is why evidence strength and limits sit next to every claim.