Table 4 Empirical power results for main genetic effect assessment comparing ordinary statistical methods (OLR and OLMM) to family-based methods (AQTDTM, FBAT and ALMM) under homogeneous (HP) and stratified (SP) populations. Each time, n cases were simulated with parameters β1 = α5 = 0.5. Simulations are based on the additive genetic model. † = number that identifies each model in the paper.
n | H0 : β1 = 0 | H0 : α5 = 0 | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|
Two-step-models | Mixed models | |||||||||
OLR (16) † | AQTDT M (17) | FBAT (18) | OLMM (19) | ALMM (20) | ||||||
HP | SP | HP | SP | HP | SP | HP | SP | HP | SP | |
100 | 0.184 | - | 0.107 | 0.093 | 0.108 | 0.095 | 0.254 | - | 0.147 | 0.113 |
200 | 0.289 | - | 0.156 | 0.129 | 0.155 | 0.140 | 0.456 | - | 0.232 | 0.171 |
300 | 0.406 | - | 0.237 | 0.206 | 0.234 | 0.207 | 0.595 | - | 0.371 | 0.253 |
400 | 0.481 | - | 0.285 | 0.256 | 0.281 | 0.25 | 0.726 | - | 0.429 | 0.325 |
500 | 0.606 | - | 0.353 | 0.297 | 0.355 | 0.296 | 0.831 | - | 0.531 | 0.365 |
600 | 0.663 | - | 0.415 | 0.346 | 0.422 | 0.351 | 0.874 | - | 0.614 | 0.429 |
10000 | 0.864 | - | 0.589 | 0.493 | 0.589 | 0.495 | 0.976 | - | 0.813 | 0.613 |