Table 3.
Statistical power of 2LOmb to detect genetic heterogeneity in large-scaled simulated data sets with different numbers of available SNPs, different sample sizes and different ratios of case samples from two affected groups where the affected status is governed by a two-locus interaction
| |
|
Statistical power |
|||
|---|---|---|---|---|---|
| |
|
10,000 SNPs |
100,000 SNPs |
||
| |
Ratio |
At least |
Two |
At least |
Two |
|
Sample |
of case |
one interaction |
interactions |
one interaction |
interactions |
| size | samples | detected | detected | detected | detected |
| 1,600 |
1:3 |
1.00 |
0.30 |
1.00 |
0.13 |
| |
1:1 |
1.00 |
1.00 |
1.00 |
1.00 |
| 3,200 |
1:3 |
1.00 |
0.98 |
1.00 |
0.92 |
| |
1:1 |
1.00 |
1.00 |
1.00 |
1.00 |
| 6,400 |
1:3 |
1.00 |
1.00 |
1.00 |
1.00 |
| 1:1 | 1.00 | 1.00 | 1.00 | 1.00 | |
The results indicate that 2LOmb detects at least one interaction in every data set (global p-value < 0.0001).