Chronic diseases, such as type 2 diabetes (T2D) and heart disease, arise out of both environmental and genetic factors, it is postulated that over 70% of disease risk can be attributed to differences in environments. While we currently have means to systematically and comprehensively study disease genetics with the genome-wide association study (GWAS), we lack ways of comprehensively identifying environmental risk. Here, we describe new informatics methods of to considering the role of environment on health, introducing the first Environment-wide Association Studies (EWAS) on T2D and heart disease. Next, we describe and implement an integrative method GWAS and EWAS to investigate the interplay between the environment and genome. We propose that “enviromic”-based investigations are one way to discover new etiological risk factors.