Human Exposome Data Standards

Builds standards to help researchers share and combine data on environmental exposures that affect human health

Environmental exposures such as air pollution, diet, physical activity, and social stress can influence the onset of disease. These effects often accumulate slowly over time and can depend on multiple factors such as lifestyle, occupation, and living conditions. Currently, environmental data is captured in different ways by research groups internationally, making it hard to compare or combine this information.

The Human Exposome Data Standards Study Group is working to solve a big problem in global health research: there are not yet consistent, shared ways to describe how the environment affects human health — especially over long periods of time and across different populations.

This Study Group aims to create international standards to help researchers capture and share environmental exposure data more easily and accurately. These standards will help combine genetic and environmental data in population cohorts (e.g. UK Biobank and All of Us Research Program), making it possible to uncover new insights into how one’s surroundings shape health and disease over time.

Benefits

  • Enables harmonised, interoperable exposure data capture across global cohorts for gene-environment research
  • Facilitates virtual cohort creation and AI-driven analyses by standardising complex exposome data

Target users

Researchers, and clinicians

Product Leads
  • Amy Louise Foreman
  • Carlos Cardenas-Iniguez
Staff Contact
Community Engagement

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