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Informatics and Data Analytics to Support Exposome-Based Discovery for Public Health
Arjun K Manrai1, Yuxia Cui2, Pierre R Bushel2
1Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts 02115;
Annual Review of Public Health
|January 10, 2017
Summary
Analyzing the human exposome (all environmental exposures) requires advanced methods to find disease causes. This review guides public health on exposome data challenges and future research directions.
Area of Science:
- Environmental Health Sciences
- Biomedical Research
- Public Health Informatics
Background:
- The human exposome, encompassing all environmental exposures from birth to death, presents complex challenges for disease determinant research.
- High-throughput, systematic approaches are crucial for understanding the exposome's impact on health.
- Existing research highlights the need for advanced analytical methods to link exposome data with health outcomes.
Purpose of the Study:
- To review the current state of human exposome analysis.
- To provide recommendations for the public health community regarding analytical challenges in exposome-based research.
- To identify novel analytical methods for associating exposome data with critical health outcomes.
Main Methods:
- Review of extant and novel analytical methodologies for exposome research.
- Comparative analysis of data-centered challenges in exposome research, drawing parallels with human genomics.
- Discussion of training needs for scientists in public health, genomics, and biomedicine, focusing on informatics and statistics.
Main Results:
- The review outlines the current scientific landscape of human exposome analysis.
- It identifies key analytical challenges and proposes strategies to address them.
- The importance of developing an integrated exposome data ecosystem is emphasized.
Conclusions:
- Systematic, high-throughput analysis of the human exposome is essential for discovering environmental disease determinants.
- Addressing analytical and data-centered challenges is critical for advancing exposome-based biomedical research.
- An exposome data ecosystem has the potential to be as transformative as genomic science in shaping future biomedical research and public health.
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