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Chunk #19 — Results — Prediction of AUCmax from (or λS) and K

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The genetic interpretation of area under the ROC curve in genomic profiling.
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Figure 2 plots AUCmax vs , for K = 0.001, 0.01, 0.1, 0.3 from simulation (dashed line) and from equation 3 (solid line) and shows that AUCmax is particularly constrained for more common or low heritability diseases. Jannsens et al [3], in their Fig. 4, have shown the relationship between AUC and the proportion of variance on the disease scale explained by the genomic profile; since their genomic profile assumed all genetic variants were known without error their graph represents the relationship between AUCmax and . Our simulation results provided the same relationship when plotted on this scale (Figure 3, solid line). In Figure 3 we show the relationship of AUCmax with and (for each simulation combination of K and , the AUCmax and are calculated).