| |
Scenario1
0.30/0.30 |
|
Scenario2
0.30/0 |
|
| SNP 1 |
SNP 2 |
SNP 1 |
SNP 2 |
| GBM |
1.3 (1.9) |
0.8 (1.2) |
1.1 (1.7) |
19.0 (19.9) |
| RobustSNP |
3.0 (4.2) |
2.2 (3.3) |
1.1 (1.6) |
56.9 (33.7) |
| AdditiveGWA |
1.7 (2.5) |
1.8 (2.7) |
0.8 (1.1) |
52.1 (35.3) |
Note: Results are presented as percentile median ranks of detecting SNP. A
robust measure of variability (Median Absolute Deviation, MAD) is given between
brackets. SNP1 always explains 0.3% of the variance, SNP2 either explains
0.3% (scenario1) or zero% (scenario2). Using GBM, a SNP with a zero main
effect (SNP2, scenario2) is within the19th percentile in 50% of the Monte Carlo
replications. Robust SNP and additive GWAS perform (as expected) only at
chance level (i.e., median percentile rank around 50). |
