Ancestry bias, population-level statistics, and the factors that determine whether a score is meaningful for you personally — not just on average.
Polygenic risk scores are among the most powerful tools modern genomics has produced. For some conditions, the top 20% of polygenic risk carries 3-5× the risk of the average. For coronary artery disease in particular, top-decile PRS performs comparably to many traditional clinical risk factors.
But moving from "this is a real signal in the population" to "this is what it means for you specifically" requires care.
Most of the large genetic studies that built today's PRS models were done in people of European ancestry. As a result, the scores tend to perform best in that group and lose accuracy when applied to people of African, East Asian, South Asian, or other ancestries.
This is a known limitation, not a flaw, and the field is actively building more diverse reference data. But until coverage catches up, PRS interpretations should always note which population the score was trained on.
A PRS tells you where you sit on a population distribution. It doesn't tell you what will happen to you. Two people with identical scores can have completely different outcomes depending on environment, behavior, age of onset patterns in their family, and pure chance.
Think of it like weather forecasts. A 70% chance of rain doesn't mean it will definitely rain — it means that across many similar conditions, rain happens 70% of the time. Your specific day might be sunny.
Reliability depends on three things:
- Sample size of the underlying study. Conditions studied in millions of people produce sharper scores than conditions studied in a few thousand.
- Heritability of the trait. Some traits (height, certain diseases) have strong genetic components; others (mostly environmental) don't — PRS can't outperform what biology allows.
- Match between the study population and you. Reliability drops with ancestral distance.
bioRitma doesn't report PRS values without context. Each score comes with information about the underlying study, its applicability to your ancestry, and an honest estimate of how much weight to put on it.
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