Table 1.

Needs for Exposome Epidemiology

>Extension of environmental epidemiology to analysis of omics scale exposure data

>Improved environmental chemical and xenobiotic metabolite identification

>Improved quantification procedures for low abundance environmental chemicals

>Assembly of omics scale xenobiotics and metabolites data for pregnancy exposome of more than 10,000 individuals across multiple generations

>Coupling of exposome data to epigenetic data to develop systematic knowledge of the best characterized mechanism for exposure memory

>Maintenance of cohorts with coverage of critical developmental exposure windows and consequences for multiple subsequent generations to link ancestral developmental exposures to current health problems; Record exposures in real time, or link to resources to recorded exposures (e.g. newborn blood spots, stored prenatal sera) for multiple generations to comprehend E × E × G impacts on current populations

Expansion of high-resolution exposomics and metabolomics analyses

Initiation of pilot G × E and predictive modeling studies that result from exposomics studies

Integration of ‘omics within informative populations—tracing G × E revealed by the metabolome to track the epigenome, genome, proteome, transcriptome effects—use for pilot testing of approaches for mitigation