Summary
Objectives:
Epidemiologists are reformulating their classical approaches to diseases by considering
various issues associated to “omics” areas and technologies. Traditional differences
between epidemiology and genetics include background, training, terminologies, study
designs and others. Public health and epidemiology are increasingly looking forward
to using methodologies and informatics tools, facilitated by the Bioinformatics community,
for managing genomic information. Our aim is to describe which are the most important
implications related with the increasing use of genomic information for public health
practice, research and education. To review the contribution of bioinformatics to
these issues, in terms of providing the methods and tools needed for processing genetic
information from pathogens and patients. To analyze the research challenges in biomedical
informatics related with the need of integration of clinical, environmental and genetic
data and the new scenarios arisen in public health.
Methods:
Review of the literature, Internet resources and material and reports generated by
internal and external research projects.
Results:
New developments are needed to advance in the study of the interactions between environmental
agents and genetic factors involved in the development of diseases. The use of biomarkers,
biobanks, and integrated genomic/clinical databases poses serious challenges for informaticians
in order to extract useful information and knowledge for public health, biomedical
research and healthcare.
Conclusions:
From an informatics perspective, integrated medical/biological ontologies and new
semantic-based models for managing information provide new challenges for research
in areas such as genetic epidemiology and the “omics” disciplines, among others. In
this regard, there are various ethical, privacy, informed consent and social implications,
that should be carefully addressed by researchers, practitioners and policy makers.
Keywords
Public health - bioinformatics - epidemiology - genomics - medical informatics