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Correspondence: caroline.johnson@yale.edu; vasilis.vasiliou@yale.edu 1 Department of Environmental Health Sciences, Yale School of Public Health, New Haven, CT, USA

All authors were involved in writing and contributing to the manuscript.

All authors read and approved the final manuscript.

We would like to thank the Waters Corporation for their support and sponsorship for the Symposium Drs. Dustin Yaworksy and Ray Chen.

We would also like to thank Ms. Donna Cropley and Ms. Damaris Faustine for their invaluable help in organizing the Symposium.

The authors declare that they have no competing interests.

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.


Research Funding:

The authors would like to acknowledge the following funding sources: NIH R01 EY017963 (VV), NIH U01 AA021724 (VV), NIH R24 AA022057 (VV), NIH R00 ES023504 (CP), R21 ES025052 (CP), R01 ES023485 (DJ), R21 ES025632 (DJ), P30 ES019776 (DJ), NIH S10 OD018006 (DJ), U2C ES026560 (DJ), Women’s Health Research at Yale (CJ), and Yale Comprehensive Cancer Center (CJ),


  • Science & Technology
  • Life Sciences & Biomedicine
  • Genetics & Heredity

Yale school of public health symposium on lifetime exposures and human health: the exposome; summary and future reflections


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Human Genomics


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The exposome is defined as "the totality of environmental exposures encountered from birth to death" and was developed to address the need for comprehensive environmental exposure assessment to better understand disease etiology. Due to the complexity of the exposome, significant efforts have been made to develop technologies for longitudinal, internal and external exposure monitoring, and bioinformatics to integrate and analyze datasets generated. Our objectives were to bring together leaders in the field of exposomics, at a recent Symposium on "Lifetime Exposures and Human Health: The Exposome," held at Yale School of Public Health. Our aim was to highlight the most recent technological advancements for measurement of the exposome, bioinformatics development, current limitations, and future needs in environmental health. In the discussions, an emphasis was placed on moving away from a one-chemical one-health outcome model toward a new paradigm of monitoring the totality of exposures that individuals may experience over their lifetime. This is critical to better understand the underlying biological impact on human health, particularly during windows of susceptibility. Recent advancements in metabolomics and bioinformatics are driving the field forward in biomonitoring and understanding the biological impact, and the technological and logistical challenges involved in the analyses were highlighted. In conclusion, further developments and support are needed for large-scale biomonitoring and management of big data, standardization for exposure and data analyses, bioinformatics tools for co-exposure or mixture analyses, and methods for data sharing.

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© 2017 The Author(s).

This is an Open Access work distributed under the terms of the Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/).
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