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Corrigendum to "Revisiting the modifiable areal unit problem in the era of exposome-wide association studies: Assessing the performance of the CDC/ATSDR social vulnerability index at privacy-protecting spatial scales" [Environ. Res. (2026) 124912].

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Advancing Exposomics: From Concept to Practice in Environmental Health Sciences.

Alison A Motsinger-Reif1, David M Balshaw2, Linda S Birnbaum3

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Exposomics research integrates environmental exposures and health impacts across a lifetime. National Institutes of Health (NIH) initiatives are crucial for standardizing methods and building capacity in this field for better health outcomes.

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Area of Science:

  • Environmental Health Sciences
  • Precision Medicine
  • Exposomics Research

Background:

  • Exposomics is a framework linking environmental exposures to human health across the life course.
  • It shifts from single-pollutant studies to an integrated approach considering diverse exposures.
  • The exposome concept was introduced in 2005 to understand environmental impacts on health.

Purpose of the Study:

  • To explore efforts in operationalizing the exposome concept.
  • To highlight National Institutes of Health (NIH) initiatives in exposomics research.
  • To examine the integration of life-course exposure data into health research.

Main Methods:

  • Structured review of NIH funding opportunities and strategic documents.
  • Analysis of NIH-supported projects, grant announcements, and program descriptions.
  • Inclusion of insights from relevant literature and international research activities.

Main Results:

  • NIH initiatives aim to build capacity and standardize methodologies in exposomics.
  • Efforts focus on integrating life-course exposure data into health research.
  • International collaborations are key to advancing exposomics research.

Conclusions:

  • Operationalizing the exposome is vital for environmental health and precision medicine.
  • Standardizing methods, developing tools, and promoting interdisciplinary research are key goals.
  • Integrating diverse datasets and global coordination will drive innovation in human health.