Am working on this practice learning model: I have a data that can be used to estimate the effects of two genes on cancer incidence.  Assume these data were obtained from a large prospective cohort study.  It can be assumed that the sample was taken from a genetically homogenous population and thus confounding is not an issue. How can I present the evidence for interaction as suggested by Knol and VandeWeele (2012) in table form. First, I thought about creating a dummy variable in sas but I don't know the code for interaction for a dichotomous variable.
This is my sample data:
| ID | GeneA | GeneB | Cancer | 
| 1 | 0 | 1 | 1 | 
| 2 | 0 | 0 | 1 | 
| 3 | 0 | 0 | 0 | 
| 4 | 0 | 0 | 0 | 
| 5 | 0 | 1 | 0 | 
| 6 | 0 | 0 | 0 | 
| 7 | 0 | 0 | 0 | 
| 8 | 0 | 0 | 0 | 
| 9 | 0 | 0 | 1 | 
| 10 | 0 | 1 | 0 | 
| 11 | 1 | 0 | 0 | 
| 12 | 0 | 0 | 0 | 
| 13 | 0 | 1 | 0 | 
| 14 | 1 | 0 | 0 | 
| 15 | 1 | 0 | 0 | 
| 16 | 0 | 0 | 0 | 
| 17 | 0 | 1 | 0 | 
| 18 | 0 | 1 | 0 | 
| 19 | 1 | 1 | 1 |