Table 2. Type I error comparison between MURAT and SKAT at stringent significance levels, α=1 × 10−4, 1 × 10−5, and 2.5 × 10−6.
| ρe=0 | ρe=0.4 | |||
|---|---|---|---|---|
| α | MURAT | SKAT | MURAT | SKAT |
| K=2 | ||||
| 1 × 10−4 | 1.68 × 10−4 | 1.27 × 10−4 | 1.48 × 10−4 | 1.24 × 10−4 |
| 1 × 10−5 | 2.78 × 10−5 | 1.16 × 10−5 | 1.29 × 10−5 | 1.54 × 10−5 |
| 2.5 × 10−6 | 7.60 × 10−6 | 3.30 × 10−6 | 2.80 × 10−6 | 3.30 × 10−6 |
| K=3 | ||||
| 1 × 10−4 | 1.64 × 10−4 | 1.29 × 10−4 | 1.35 × 10−4 | 1.23 × 10−4 |
| 1 × 10−5 | 2.15 × 10−5 | 1.25 × 10−5 | 1.82 × 10−5 | 1.35 × 10−5 |
| 2.5 × 10−6 | 9.80 × 10−6 | 4.10 × 10−6 | 10.20 × 10−6 | 3.10 × 10−6 |
Abbreviations: MURAT, Multivariate Rare-Variant Association Test; SKAT, sequence kernel association test.
The simulations are based on 107 simulated data sets. The results for SKAT are based on adjusted P-values, which are defined as K times the minimum of univariate-based P-values obtained via SKAT.