TY - JOUR
T1 - Informatics and Data Analytics to Support Exposome-Based Discovery for Public Health
AU - Manrai, Arjun K.
AU - Cui, Yuxia
AU - Bushel, Pierre R.
AU - Hall, Molly
AU - Karakitsios, Spyros
AU - Mattingly, Carolyn J.
AU - Ritchie, Marylyn
AU - Schmitt, Charles
AU - Sarigiannis, Denis A.
AU - Thomas, Duncan C.
AU - Wishart, David
AU - Balshaw, David M.
AU - Patel, Chirag J.
N1 - Funding Information:
This research was supported, in part, by the Intramural Research Program of the National Institutes ofHealth (NIH), National Institute of Environmental Health Sciences (NIEHS). C.J.P. was supported by R00 ES023504, R21 ES025052, NIH/BD2K U54HG007963, and a PhRMA Foundation fellowship. D.C.T. was supported by R01 ES019876, P30 ES 07048, and P30 CA014089. A.K.M. was supported by NIH/BD2K U54 HG007963. C.J.M. was supported by R01 ES014065 and R01 ES019604. M.H. was supported by F31 HG008588
PY - 2017/3/20
Y1 - 2017/3/20
N2 - 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.
AB - 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.
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U2 - 10.1146/annurev-publhealth-082516-012737
DO - 10.1146/annurev-publhealth-082516-012737
M3 - Review article
C2 - 28068484
AN - SCOPUS:85017186712
VL - 38
SP - 279
EP - 294
JO - Annual Review of Public Health
JF - Annual Review of Public Health
SN - 0163-7525
ER -