From: Artificial neural networks modeling gene-environment interaction
Risk model | Risk scenario | Constant values αg, βg ( g = 0,1,2) | Constant values c, z | |
---|---|---|---|---|
Genetic model | High risk |
| z = 0.886 | |
β0 = β1 = β2 = 0 | ||||
Low risk |
| z = 0.390 | ||
β0 = β1 = β2 = 0 | ||||
Environmental model | High risk | α0 = α1 = α2 = 7.5, | z = 0.200 | |
β0 = β1 = β2 = −0.15, | ||||
Low risk | α0 = α1 = α2 = 3.75, | z = 0.200 | ||
Risk models by Amato et al. [14] | β0 = β1 = β2 = −0.075, | |||
Additive model | High risk | , | z = 0.177 | |
β0 = β1 = β2 = −0.15, | ||||
Low risk | , | z = 0.178 | ||
β0 = β1 = β2 = −0.075, | ||||
Interaction model | High risk | α0 = α1 = α2 = 7.5, | z = 0.171 | |
β0 = 2 · β1, β1 = −0.15, β2 = 0.5·β1, | ||||
Low risk | α0 = α1 = α2 = 3.75, | z = 0.169 | ||
β0 = 2 · β1, β1 = −0.075, β2 = 0.5 · β1, | ||||
Model 1 | High risk (r = 0.150) | c = 0.05, z = 0.254 | ||
Low risk (r = 0.075) | ||||
Risk model representing a masking effect of the genetic factor | Model 2 | High risk (r = 0.150) | c = 0.05, z = 0.286 | |
Low risk (r = 0.075) | ||||
Model 3 | High risk (r = 0.150) | c = 0.075, z = 0.631 | ||
Low risk (r = 0.075) | ||||
Model 4 | High risk (r = 0.150) | c = 0.075, z = 0.964 | ||
Low risk (r = 0.075) |