Environmental factors are just as important as genetics in the development of diseases.

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  • Last update: 11/30/2025
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For decades, genetic research dominated the biomedical field, but a major transformation is now underway. Scientists are increasingly concentrating on a concept known as exposomics. Much like the efforts to decode the human genome, this emerging discipline seeks to chart all chemical, physical, social, and biological exposures a person experiences over a lifetime.

Experts suggest that genetic mutations contribute to only about 10% of conditions such as Parkinson's disease, while the remaining 90% are believed to stem from environmental factors. This insight has driven researchers to expand their focus beyond DNA, according to the Association of American Medical Colleges (AAMC).

Exposomic data can encompass a wide array of influences, including light, temperature, biomarkers in blood or other bodily fluids, diet, environmental chemicals, physical activity, income, and education. The ultimate ambition is to transform this vast collection of individual exposure data into actionable, personalized healthcare solutions. Researchers foresee a future where a person's exposomic profile becomes part of their electronic medical records.

Gary Miller, vice dean for research strategy and innovation at the Columbia University Mailman School of Public Health in New York City, who helped introduce the term two decades ago, notes that the field is gaining momentum. The National Institutes of Health (NIH) supported this effort last year by awarding a $7.7 million grant to establish the Network for Exposomics in the United States (NEXUS), a national coordinating center.

Exposomics is a massive endeavor, requiring collaboration among experts in genetics, environmental science, and data science. The aim is to move beyond identifying a single disease cause and instead capture the full picture of a persons lifetime exposures.

New Technologies Fuel Progress

  • Geospatial data: Satellite imagery and social health data track location-specific exposures like air quality and water contamination.
  • Mass spectrometry: Sophisticated chemical analyses detect thousands of markers in biological samples such as blood and urine.
  • Wearable devices: Tools like the "exposometer" from Stanford Medicine gather chemical and biological data directly from individuals.

Chirag Patel, associate professor at Harvard Medical School and co-leader of NEXUS, explained that his lab employs computational models and artificial intelligence to systematically process enormous datasets. "We are moving away from targeted searches for disease causes and toward broad, non-targeted mass spectrometry approaches," Patel told AAMC.

Rima Habre, co-leader of NEXUS and associate professor at the University of Southern California Keck School of Medicine, believes exposomics can help doctors move past reliance on educated guesses. She describes the approach as "discovery-based," enabling researchers to scan broadly before forming hypotheses.

Miller emphasizes that this new paradigm integrates both genetics and exposomics, stating, "They complement each other."

The NIH provides additional information on the NEXUS grant and ongoing environmental health research initiatives.

Addition from the author

Author Analysis: Why Exposomics Marks a Structural Shift in Biomedical Research

From my perspective, the growing focus on exposomics reflects a data-driven correction in biomedical research rather than a trend. Evidence cited by experts and institutions such as the AAMC indicates that genetic factors explain only a limited share of complex diseases, while environmental and social exposures account for the majority.

The establishment of NEXUS with NIH funding formalizes this shift at a national level. The involvement of multidisciplinary teams and the use of non-targeted mass spectrometry, geospatial data, and wearable technologies demonstrate that exposomics is being built as a scalable research infrastructure, not a theoretical concept.

What distinguishes this approach is its intent to integrate lifetime exposure data into clinical systems. If exposomic profiles are incorporated into electronic medical records as proposed, this would materially change how risk assessment and prevention are conducted, complementing genetic data rather than replacing it.

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Author: Sophia Brooks

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