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Chunk #30 — Discussion — Relationship of AUCmax to heritability and disease prevalence when the disease classifier is a genetic risk predictor

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The genetic interpretation of area under the ROC curve in genomic profiling.
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that provide estimates of λMZ and λS are mostly less than 1.0 [27], particularly for low prevalence diseases. Recognising that these estimates are subject to sampling variance, the estimates of λMZ/ are 1.1 (AMD), 0.4 (coronary artery disease), 0.8 (breast cancer), 0.7 (schizophrenia [25]), 0.9 (rheumatoid arthritis) and 0.4 (Type I diabetes). Therefore, we believe the model used by Clayton to derive the relationship between AUC and heritability (or sibling recurrence risk) independent of disease prevalence is not valid.