From: A non-parametric approach for detecting gene-gene interactions associated with age-at-onset outcomes
Disease Models | Â | Two Causal SNP | + 2 Noise SNPs | +5 Noise SNPs | + 8 Noise SNPs | |||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
WNA | MCC | WNA | MCC | WNA | MCC | WNA | MCC | |||||||
Model 1: PH; Linear | θ = 3 |  |  |  |  |  |  |  |  |  | ||||
β1 = 0.15 | Power: | 0.762 | 0.614 | 0.718 | 0.434 | 0.692 | 0.222 | 0.674 | 0.100 | |||||
β2 = 0.15 | Sensitivity: | 0.753 | 0.980 | 0.717 | 0.980 | 0.693 | 0.978 | 0.680 | 0.978 | |||||
β12 = 0.15 | Specificity | -- | -- | 0.926 | 0.913 | 0.827 | 0.763 | 0.753 | 0.627 | |||||
Model 2: PH; non-linear | θ = 3 | Power: | 0.876 | 0.561 | 0.823 | 0.376 | 0.838 | 0.195 | 0.821 | 0.076 | ||||
Sensitivity: | 0.916 | 0.934 | 0.909 | 0.902 | 0.873 | 0.902 | 0.844 | 0.902 | ||||||
β = 0.6 | Specificity | -- | -- | 0.879 | 0.878 | 0.736 | 0.735 | 0.605 | 0.578 | |||||
Model 3: Non-PH | θ |  | AA | Aa | aa |  |  |  |  |  |  |  |  |  |
BB | 3 | 2.5 | 2.5 | Power: | 0.926 | 0.678 | 0.933 | 0.480 | 0.930 | 0.253 | 0.932 | 0.114 | ||
Bb | 3 | 2 | 2 | Sensitivity: | 0.753 | 0.891 | 0.717 | 0.891 | 0.693 | 0.891 | 0.680 | 0.891 | ||
bb | 3 | 2 | 2 | Specificity | -- | -- | 0.926 | 0.915 | 0.827 | 0.777 | 0.753 | 0.629 | ||
Model 4: Non-PH | θ |  | AA | Aa | aa |  |  |  |  |  |  |  |  |  |
BB | 3 | 3 | 1 | Power: | 0.987 | 0.458 | 0.974 | 0.277 | 0.960 | 0.133 | 0.952 | 0.057 | ||
Bb | 3 | 3 | 1 | Sensitivity: | 0.971 | 0.831 | 0.905 | 0.831 | 0.831 | 0.831 | 0.769 | 0.830 | ||
 |  | bb | 1 | 1 | 0.5 | Specificity | -- | -- | 0.878 | 0.917 | 0.781 | 0.790 | 0.729 | 0.656 |