Abstract The Personalized Environment and Genes Study (PEGS) is a unique resource comprising genetic and environmental exposure data linked to geospatial data. The PEGS cohort contains 19,445 demographically diverse participants who provided phenotype and exposure data by completing three surveys. Whole-genome sequencing was performed for a subset of 4,737 participants to interrogate common and rare variants and structural variations, including high-resolution human leukocyte antigen (HLA) variants. Geographic coordinates were assigned to participant addresses, enabling the use of distance to contaminant sources and area-level air-pollutant concentrations as surrogates for exposure. Several available tools are available to explore these data and results of exposome-wide association studies (ExWAS) conducted in the data. The i2b2 Query and Analysis Tool enables approved users to build customizable queries for exploring basic statistics from de-identified and aggregated PEGS data. PEGS Explorer allows users to explore published ExWAS results and rigorously calculated exposure correlations. Globe visualizations in this tool reflect the complex mixtures involved in the exposome and allow users to visualize correlations between exposures and common, complex diseases.
Akhtari et al. (Thu,) studied this question.