We present the topic of genome-wide association studies, that looks for
single nucleotide mutations inside genome both for population
characterization (from an evolutionary point of view) and for the
discovery of associations with complex trait diseases (like obesity,
cancer or ageing). We will describe the actual challenges (both
algorithmical and computational) and the potential benefits that a network
approach can provide in this field.