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New approach can help identify young children most at risk for obesity

UNIVERSITY PARK, PA. – Newly developed risk scores synthesize genetic information into an easy-to-interpret metric that could help clinicians identify

United statesMichele mariniIan paulMatthew reimherrFrancesca chiaromonteJunli linKateryna makovaVernem willamanSarah craigUniversity of californiaNational institute of diabetesLife sciences at pennPenn state college of medicineChildhood obesity research at pennNational science foundationStatistics for the life sciences at penn

New approach can help identify young children most at risk for obesity

Newly developed risk scores synthesize genetic information into an easy-to-interpret metric that could help clinicians identify young children most at

United statesMichele mariniIan paulMatthew reimherrFrancesca chiaromonteJunli linKateryna makovaVernem willamanSarah craigUniversity of californiaNational institute of diabetesLife sciences at pennPenn state college of medicineChildhood obesity research at pennNational science foundationStatistics for the life sciences at penn

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