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Table 1 Used values for α g , β g (g = 0,1,2), c , and z

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

α 0 = 2 3 · α 1 , α 1 =2.5, α 2 = 4 3 · α 1

z = 0.886

   

β0 = β1 = β2 = 0

 
  

Low risk

α 0 = 2 3 · α 1 , α 1 =1.25, α 2 = 4 3 · α 1

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

α 0 = 2 3 · α 1 , α 1 =7.5, α 2 = 4 3 · α 1 ,

z = 0.177

   

β0 = β1 = β2 = −0.15,

 
  

Low risk

α 0 = 2 3 · α 1 , α 1 =3.75, α 2 = 4 3 · α 1 ,

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)

  
  1. Constant values α g , β g (g = 0,1,2) c, and z used to determine the penetrance functions (minor allele frequency 30%).