Personalized Environment and Genes Study (PEGS) Dataset-a resource for genomic, exposomic, and geospatial data

Area of Science:

• Environmental Health Sciences
• Genomics
• Epidemiology

Background:

• The exposome, encompassing environmental exposures, is crucial for understanding complex diseases.
• Integrating genetic and environmental data provides a comprehensive view of health determinants.

Purpose of the Study:

• To introduce the Personalized Environment and Genes Study (PEGS) as a unique resource for exposome research.
• To detail the data types and accessibility of the PEGS cohort.

Main Methods:

• Collected phenotype and exposure data via surveys from 19,445 participants.
• Performed whole-genome sequencing on 4,737 participants, including high-resolution HLA variants.
• Utilized geospatial data to estimate environmental exposures like air pollutants and proximity to contaminants.

Main Results:

• The PEGS cohort links genetic data with detailed environmental exposure and geospatial information.
• Tools like i2b2 Query and Analysis Tool and PEGS Explorer are available for data exploration.
• Exposome-wide association studies (ExWAS) have been conducted, with results accessible for exploring exposure-disease correlations.

Conclusions:

• PEGS provides a valuable, multi-dimensional dataset for investigating gene-environment interactions in complex diseases.
• Available tools facilitate user-friendly exploration of exposome data and ExWAS findings.
• The resource supports research into the impact of environmental exposures on human health.