Table 1 Power of the different methods depending on the number of components in the ‘Random LD Simulations’ (dilution effect)
From: Wavelet Screening: a novel approach to analyzing GWAS data
Size | Model | Method | Significance | 1 | 2 | 3 | 4 | 5 | 6–10 | 11–15 | 16–20 | > 20 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
1000 | MD | WS | \(1\times 10^{-5}\) | 0.4 | 0.5 | 0.8 | 1.0 | 1 | 0.7 | 0.6 | 0.7 | 0.7 |
1000 | RD | WS | \(1\times 10^{-5}\) | 0.8 | 0.1 | 0.0 | 0.3 | 0.2 | 0.5 | 0.9 | 0.2 | 0.4 |
1000 | NA | SKAT | \(1\times 10^{-5}\) | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1 | 0.2 | 0.8 | 1.8 |
1000 | NA | GWAS | \(5\times 10^{-8}\) | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
5000 | MD | WS | \(1\times 10^{-5}\) | 9.2 | 11.1 | 9.1 | 6.1 | 4.6 | 3.5 | 2.5 | 2.3 | 2.3 |
5000 | RD | WS | \(1\times 10^{-5}\) | 9.6 | 9.3 | 7.3 | 5.4 | 5.1 | 2.6 | 1.4 | 1.7 | 1.6 |
5000 | NA | SKAT | \(1\times 10^{-5}\) | 0.0 | 0.2 | 0.57 | 0.8 | 2.8 | 7.14 | 26.2 | 54.5 | 82.0 |
5000 | NA | GWAS | \(5\times 10^{-8}\) | 45.5 | 25.8 | 16 | 3.1 | 2.7 | 2.8 | 1.1 | 0.6 | 0.3 |
10,000 | MD | WS | \(1\times 10^{-5}\) | 48.1 | 46.5 | 44.4 | 45.1 | 44.1 | 31.0 | 24.6 | 21.2 | 21.2 |
10,000 | RD | WS | \(1\times 10^{-5}\) | 49.1 | 45.2 | 46.3 | 47.2 | 39.2 | 27.2 | 15.6 | 17.2 | 15.9 |
10,000 | NA | SKAT | \(1\times 10^{-5}\) | 0.2 | 1.1 | 1.3 | 4.4 | 7.3 | 32.0 | 71.6 | 92.8 | 99.2 |
10,000 | NA | GWAS | \(5\times 10^{-8}\) | 100 | 81.8 | 75.0 | 68.8 | 30.6 | 28.1 | 15.5 | 9.6 | 3.3 |