It is a priority to identify multiple environmental factors, or mixtures, associated with disease phenotypes in human populations. However, highthroughput computational methods to identify mixtures that are important in human disease are lacking. This chapter describes the "environment-wide association study" (EWAS) analytic approach to identify a number of environmental exposures in human disease. With the advent of high-throughput environmental exposure information (e.g., exposome), methods such as EWAS will be instrumental to accelerate discovery in disease.
CITATION STYLE
Patel, C. J. (2018). Introduction to environment and exposome-wide association studies: A data-driven method to identify multiple environmental factors associated with phenotypes in human populations. In Chemical Mixtures and Combined Chemical and Nonchemical Stressors: Exposure, Toxicity, Analysis, and Risk (pp. 129–149). Springer International Publishing. https://doi.org/10.1007/978-3-319-56234-6_5
Mendeley helps you to discover research relevant for your work.