Integrative viral molecular epidemiology: hepatitis C virus modeling

Authors:
James Lara;Zoya Dimitrova;Yuri Khudyakov
Affiliations:
Molecular Epidemiology and Bioinformatics Laboratory, Division of Viral Hepatitis, Centers for Disease Control and Prevention, Atlanta, GA;Molecular Epidemiology and Bioinformatics Laboratory, Division of Viral Hepatitis, Centers for Disease Control and Prevention, Atlanta, GA;Molecular Epidemiology and Bioinformatics Laboratory, Division of Viral Hepatitis, Centers for Disease Control and Prevention, Atlanta, GA
Venue:
ISBRA'08 Proceedings of the 4th international conference on Bioinformatics research and applications
Year:
2008

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Abstract

Traditional molecular epidemiology of viral infections is based onidentifying genetic markers to assist in epidemiological investigation. The limitationsof early molecular technologies led to preponderance of analyticalmethodology focused on the viral agent itself. Computational analysis was almostexclusively used for phylogenetic inference. Embracing the approachesand achievements of the traditional molecular epidemiology, integrative molecularepidemiology of viral infections expands into a comprehensive analysisof all factors involved into defining outcomes of exposure of a person(s) to viralinfections. The major emphasis of this scientific discipline is on the developmentof predictive models that can be used in different clinical and publichealth settings. The current paper briefly reviews a few examples that illustratea new trend in integrative molecular epidemiology striving to quantitatively defineviral properties and parameters using primary structure of viral genomes.