Table 3. Power of different methods in a disease model in which 20% of causal variants are protective.
Error rate | Coverage per person | C-alpha | Freq-weight | VT | RWAS | LRT_G | VST | LRT |
---|---|---|---|---|---|---|---|---|
0 | 4 | 0.054 | 0.417 | 0.653 | 0.471 | 0.646 | 0.456 | 0.956 |
10 | 0.069 | 0.46 | 0.712 | 0.472 | 0.689 | 0.506 | 0.987 | |
20 | 0.07 | 0.473 | 0.713 | 0.478 | 0.699 | 0.515 | 0.99 | |
0.01 | 4 | 0.053 | 0.14 | 0.164 | 0.17 | 0.191 | 0.222 | 0.685 |
10 | 0.066 | 0.304 | 0.468 | 0.376 | 0.495 | 0.425 | 0.955 | |
20 | 0.06 | 0.458 | 0.673 | 0.465 | 0.67 | 0.491 | 0.976 |
PAR was 0.02 with ci = 0.1 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).