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Polygenic Score Predicts Obesity Risk Twice as Accurately in Young Children

Released as a research prototype, the tool explains nearly 18% of BMI variation, guiding early tailored interventions

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Overview

  • Developed from genetic data on over five million people and published in Nature Medicine, the score is now publicly available as a research prototype
  • It accounts for 17.6% of variation in adult BMI, doubling the predictive power of previous genetic tests
  • The score identifies children at high obesity risk before age five, creating opportunities for early prevention
  • It forecasts response to intensive lifestyle programs, showing that higher-risk individuals lose more weight initially but regain more over time
  • Researchers are working to enhance accuracy in non-European ancestry groups and integrate the score into clinical and public health frameworks