Table 1.
Sample size n | # of SNPs | ρ | Nominal level
|
# of SNPs | ρ | Nominal level
|
||||
---|---|---|---|---|---|---|---|---|---|---|
α=0.05 | α=0.01 | α=0.001 | α=0.05 | α=0.01 | α=0.001 | |||||
| ||||||||||
100 | 51 | 1.5 | 0.0684 | 0.0208 | 0.0068 | 61 | 1.5 | 0.0488 | 0.0096 | 0.0004 |
3 | 0.0672 | 0.0188 | 0.0052 | 3 | 0.0340 | 0.0068 | 0.0004 | |||
6 | 0.0612 | 0.0160 | 0.0040 | 6 | 0.0340 | 0.0056 | 0.0012 | |||
9 | 0.0600 | 0.0180 | 0.0032 | 9 | 0.0348 | 0.0084 | 0.0004 | |||
| ||||||||||
71 | 1.5 | 0.0344 | 0.0056 | 0.0004 | 81 | 1.5 | 0.0296 | 0.0056 | 0.0004 | |
3 | 0.0272 | 0.0044 | 0.0000 | 3 | 0.0304 | 0.0064 | 0.0004 | |||
6 | 0.0256 | 0.0024 | 0.0004 | 6 | 0.0228 | 0.0056 | 0.0000 | |||
9 | 0.0236 | 0.0044 | 0.0004 | 9 | 0.0196 | 0.0048 | 0.0000 | |||
| ||||||||||
91 | 1.5 | 0.0336 | 0.0096 | 0.0008 | 101 | 1.5 | 0.0440 | 0.0088 | 0.0012 | |
3 | 0.0320 | 0.0064 | 0.0008 | 3 | 0.0360 | 0.0048 | 0.0000 | |||
6 | 0.0244 | 0.0036 | 0.0008 | 6 | 0.0220 | 0.0028 | 0.0000 | |||
9 | 0.0216 | 0.0032 | 0.0004 | 9 | 0.0200 | 0.0024 | 0.0004 | |||
| ||||||||||
60 | 91 | 1.5 | 0.0524 | 0.0088 | 0.0004 | 101 | 1.5 | 0.0500 | 0.0084 | 0.0012 |
3 | 0.0400 | 0.0076 | 0.0012 | 3 | 0.0392 | 0.0064 | 0.0004 | |||
6 | 0.0200 | 0.0056 | 0.0004 | 6 | 0.0320 | 0.0060 | 0.0004 | |||
9 | 0.0216 | 0.0028 | 0.0000 | 9 | 0.0216 | 0.0024 | 0.0000 |
All results were based on 2,500 simulations using Software SelSim [18]