Abstract

Because little is currently known about how genes interact with environmental factors in human diseases, and because of the large number of possible interactions between and within genetic and environmental factors, it is difficult to simulate samples for a disease caused by multiple interacting genetic and environmental factors. A recent article by Amato and colleagues in BMC Bioinformatics describes a mathematical model to characterize gene-environment interactions and a computer program that simulates them using biologically meaningful inputs. Here, I evaluate the advantages and limitations of the authors' approach in terms of its usefulness for simulating genetic samples for real-world studies of gene-environment interactions in complex human diseases.