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Chunk #6 — Methods — Background: quantitative traits

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The genetic interpretation of area under the ROC curve in genomic profiling.
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predictor is unbiased (the regression of G on is 1), . The ratio /VP is estimated as the R 2 from the regression of P on and is interpreted recognising its upper limit to be VG/VP or heritability. These measures show that for quantitative traits, the accuracy with which the genomic profile predicts genetic risk is clearly separable from accuracy with which the true genetic risk predicts the phenotype. In contrast, AUC is a measure of the efficacy with which predicts phenotype which, as shown below, has an upper limit constrained by the heritability, and also prevalence, of the disease.