Here, the advantage of applying mixture models is apparent, with average power gains of 10–12%. The contrast is greater at lower imputation accuracies (top row of Fig. 3) and is maintained even when we applied the incorrect additive regression model to data simulated with a strong dominant effect (Fig. 3B) (i.e. the green solid line is well above the blue dotted line at modest accuracies).
