Advances in genomic technology and significant decrease in the associated costs are driving progress in genetic studies for disease gene identification. Studies of whole exome and genome sequences of complex traits in large samples will become increasingly common. Other sources of high-dimensional information, including expression, epigenetic, metabolic and microbiomic data, are also being commonly collected in disease and control samples. To fully understand the complex bases of human disease, all of these factors should be properly considered in a unified analytical framework, together with epidemiological data on environmental exposures and other risk factors. This meeting will discuss how to address the analytical challenges presented by these sources of data