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Predicting Polygenic Obesity Using Genetic Information

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Presentation on theme: "Predicting Polygenic Obesity Using Genetic Information"— Presentation transcript:

1 Predicting Polygenic Obesity Using Genetic Information
Ruth J.F. Loos, A. Cecile J.W. Janssens  Cell Metabolism  Volume 25, Issue 3, Pages (March 2017) DOI: /j.cmet Copyright © Terms and Conditions

2 Figure 1 Contribution of Parental Obesity to Offspring Future Risk of Obesity Risk of obesity in adult life (21–29 years) if one parent (blue), both parents (red), or the individuals themselves (green) were obese during the individuals’ childhood or adolescence. Adult obesity was defined as BMI ≥ 27.8 kg/m2. Data were derived from Whitaker et al. (1997). Figure adapted from Loos (2012). Cell Metabolism  , DOI: ( /j.cmet ) Copyright © Terms and Conditions

3 Figure 2 Ability of Genetic Variants to Predict Obesity
Area under receiver operating characteristic curve (AUC) for the 32 BMI-associated loci to predict obesity in 8,120 individuals from the ARIC study (Speliotes et al., 2010). Colored dots represent sensitivity and 1−specificity for parental obesity as a predictor of the offsprings’ future obesity risk. The color of the dots corresponds to the offspring’s age at which parental obesity is used as a predictor. Values of sensitivity and 1−specificity, and corresponding PPV and NPV, are shown as well. Data derived from Whitaker et al. (1997). Figure adapted and updated from Loos (2012). Cell Metabolism  , DOI: ( /j.cmet ) Copyright © Terms and Conditions


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