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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 States , Michele Marini , Ian Paul , Matthew Reimherr , Francesca Chiaromonte , Junli Lin , Kateryna Makova , Vernem Willaman , Sarah Craig , University Of California , National Institute Of Diabetes , Life Sciences At Penn , Penn State College Of Medicine , Childhood Obesity Research At Penn , National Science Foundation , Statistics For The Life Sciences At Penn , Childhood Obesity Research , Penn State Eberly College Of Science , University Of Georgia , Penn State Institute For Computational , Data Sciences , Pennsylvania Department Of Health , Penn State , Intervention Nurses Start Infants Growing , Healthy Trajectories , Penn State Health Milton ,

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 States , Michele Marini , Ian Paul , Matthew Reimherr , Francesca Chiaromonte , Junli Lin , Kateryna Makova , Vernem Willaman , Sarah Craig , University Of California , National Institute Of Diabetes , Life Sciences At Penn , Penn State College Of Medicine , Childhood Obesity Research At Penn , National Science Foundation , Statistics For The Life Sciences At Penn , Childhood Obesity Research , Penn State Eberly College Of Science , University Of Georgia , Penn State Institute For Computational , Data Sciences , Pennsylvania Department Of Health , Penn State , Intervention Nurses Start Infants Growing , Healthy Trajectories , Penn State Health Milton ,