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Chunk #15 — Methods — Using AUC measured by a genomic profile to estimate the proportion of genetic variance explained

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The genetic interpretation of area under the ROC curve in genomic profiling.
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Where Q = Φ−1(AUC). From this, we can calculate the proportion of the known genetic variance explained by the genomic profile(5)using the estimates of K and λS to calculate (equation 1). We can also calculate the proportion of the sibling risk explained by the profile, (λS [x] – 1)/(λS – 1), where λS [x] = (1-Φ(T 1[x]))/K and(6) [19]. and (λS [x] – 1)/(λS – 1) measure the same concept but in different ways and on different scales; both are useful criteria for assessing the extent to which the genomic profile accounts for the known genetic component of disease. We consider family history as a predictor of genetic risk in the Text S1.