Informatics and Data Analytics to Support Exposome-Based Discovery for Public Health.
Annu Rev Public Health
; 38: 279-294, 2017 Mar 20.
Article
en En
| MEDLINE
| ID: mdl-28068484
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.
Palabras clave
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Contexto en salud:
1_ASSA2030
/
2_ODS3
Problema de salud:
1_medicamentos_vacinas_tecnologias
/
2_quimicos_contaminacion
Asunto principal:
Salud Pública
/
Biología Computacional
/
Investigación Biomédica
/
Exposición a Riesgos Ambientales
Tipo de estudio:
Etiology_studies
/
Risk_factors_studies
Aspecto:
Determinantes_sociais_saude
Límite:
Humans
Idioma:
En
Revista:
Annu Rev Public Health
Año:
2017
Tipo del documento:
Article