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Global Genetic Score Doubles Early Prediction of Childhood Obesity

Flagging high-risk children before age five, the score underscores the need for broader genetic representation to enhance its accuracy in African-ancestry populations.

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Overview

  • The Nature Medicine study drew on genetic data from over five million people to develop a polygenic risk score that outperforms previous predictors by roughly twofold.
  • Validation across international cohorts showed the tool can reliably forecast adult obesity risk before kindergarten, opening doors for early lifestyle and nutritional interventions.
  • Higher-risk individuals lost more weight in intensive programs but were also more prone to regain it, indicating a need for sustained, tailored support.
  • Prediction accuracy peaked at around 17.6% of BMI variation in European-ancestry groups and fell markedly in African-ancestry populations, revealing equity gaps.
  • Researchers aim to expand and diversify genetic datasets and refine ancestry-specific models to improve fairness and integrate genetic risk into preventive health strategies.