Extended Data Fig. 2 ∣. Simulations of misclassification at different heritabilities.

a-d, These figures shows the estimated h²_SNP using-pcgc option with-prevalence K in LDAK, plotted on the y-axis) of binary traits (y_i,1, where i ∈{1..10}) with simulated $h_{i,1}^2$0.2, 0.4, 0.6, and 0.8, for each of which all cases (at prevalence K_i,1 = 0.2) are correctly identified as cases, while varying numbers of cases misclassified from a genetically correlated binary trait (y_i,2, where i∈{1..10}) of equal $h_{i,1}^2$ and prevalence as cases of y_i,1. Genetic correlations between y_i,1 and y_i,2 (rG_i∈{0, 0.2, 0.4, 0.6, 0.8, 0.95}) are shown in the grey bars above each panel. Each boxplot show h²_SNP estimates from 10 simulated phenotypes, with upper and lower boundaries of boxes represent the first to third quartiles of all estimates, and the whiskers extends to 1.5 times the interquartile range of the estimates.