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. 2013 Jul;194(3):769–779. doi: 10.1534/genetics.113.150169

Table 1. Power of different methods, on 1000 data sets and a region with 100 rare SNVs.

Error rate Coverage per person C-alpha Freq-weight VT RWAS LRT_G VST LRT
0 4 0.062 0.659 0.872 0.668 0.817 0.973 0.975
10 0.062 0.713 0.903 0.688 0.854 0.98 0.99
20 0.067 0.722 0.903 0.692 0.858 0.987 0.988
0.01 4 0.051 0.174 0.208 0.269 0.286 0.634 0.745
10 0.066 0.479 0.674 0.610 0.71 0.965 0.972
20 0.067 0.686 0.887 0.690 0.848 0.988 0.993

Two error rates (0% and 1%) were considered with three different coverages (4, 10, and 20). Population attributable risk of the region was 0.02, with ci = 0.1 and a significance threshold of 0.05. Tested methods were C-alpha (Neale et al. 2011), Freq-weight similar to the Madsen–Browning method (Madsen and Browning 2009), variable threshold (VT) (Price et al. 2010), RWAS (Sul et al. 2011b), LRT_G (Sul et al. 2011a), and our proposed methods (VST and LRT).