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Risk Stratification

Definition
AI-generated

Risk stratification is the process of grouping individuals into ordered risk categories (e.g. quantiles or clinical tiers) using predictors such as polygenic scores, family history, and conventional risk factors, often to guide prevention or screening.

Topics

Why it matters in GWAS

PRS studies frequently report hazard ratios or odds ratios per SD of the score, but translation requires clear stratification rules, calibration in the target population, and evaluation of whether reclassification improves decisions.

Example usage

"Results report Risk Stratification with uncertainty estimates to support clinical and epidemiological interpretation."

References

  • Kachuri L, Chatterjee N, Hirbo J, et al. (2024). Principles and methods for transferring polygenic risk scores across global populations. Nat Rev Genet. https://doi.org/10.1038/s41576-023-00637-2

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