| Literature DB >> 28068484 |
Arjun K Manrai1, Yuxia Cui2, Pierre R Bushel2, Molly Hall3, Spyros Karakitsios4, Carolyn J Mattingly5, Marylyn Ritchie3,6, Charles Schmitt7, Denis A Sarigiannis4, Duncan C Thomas8, David Wishart9, David M Balshaw2, Chirag J Patel1,10.
Abstract
The complexity of the human exposome-the totality of environmental exposures encountered from birth to death-motivates systematic, high-throughput approaches to discover new environmental determinants of disease. In this review, we describe the state of science in analyzing the human exposome and provide recommendations for the public health community to consider in dealing with analytic challenges of exposome-based biomedical research. We describe extant and novel analytic methods needed to associate the exposome with critical health outcomes and contextualize the data-centered challenges by drawing parallels to other research endeavors such as human genomics research. We discuss efforts for training scientists who can bridge public health, genomics, and biomedicine in informatics and statistics. If an exposome data ecosystem is brought to fruition, it will likely play a role as central as genomic science has had in molding the current and new generations of biomedical researchers, computational scientists, and public health research programs.Entities:
Keywords: bioinformatics; data standards; environment-wide association studies; exposures; genomics
Mesh：
Year: 2016 PMID： 28068484 PMCID： PMC5774331 DOI： 10.1146/annurev-publhealth-082516-012737
Source DB: PubMed Journal: Annu Rev Public Health ISSN： 0163-7525 Impact factor: 21.981