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Precision Prevention

Definition
AI-generated

Precision prevention targets screening, behavior change, vaccination, chemoprevention, or environmental risk reduction using individual-level risk information—commonly polygenic scores, family history, biomarkers, and contextual factors—rather than applying identical guidelines to everyone at a given age or sex.

Why it matters in GWAS

GWAS-derived risk models feed prevention trials and clinic decision support, but calibration, ancestry representation, and the exposome (real-world exposures) determine whether stratified prevention improves outcomes net of costs and equity concerns.

Example usage

"The study simulated precision-prevention strategies that offered intensified screening only above a combined PRS and clinical risk threshold."

References

  • Khoury MJ, et al. (2018). From public health genomics to precision public health: a 20-year journey. Genet Med.

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