Geographic Population Structure in Epstein-Barr Virus Revealed by Comparative Genomics

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Geographic Population Structure in Epstein-Barr Virus Revealed by Comparative Genomics

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Title: Geographic Population Structure in Epstein-Barr Virus Revealed by Comparative Genomics
Author: Chiara, Matteo; Manzari, Caterina; Lionetti, Claudia; Mechelli, Rosella; Anastasiadou, Eleni; Chiara Buscarinu, Maria; Ristori, Giovanni; Salvetti, Marco; Picardi, Ernesto; D’Erchia, Anna Maria; Pesole, Graziano; Horner, David S.

Note: Order does not necessarily reflect citation order of authors.

Citation: Chiara, M., C. Manzari, C. Lionetti, R. Mechelli, E. Anastasiadou, M. Chiara Buscarinu, G. Ristori, et al. 2016. “Geographic Population Structure in Epstein-Barr Virus Revealed by Comparative Genomics.” Genome Biology and Evolution 8 (11): 3284-3291. doi:10.1093/gbe/evw226. http://dx.doi.org/10.1093/gbe/evw226.
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Abstract: Epstein-Barr virus (EBV) latently infects the majority of the human population and is implicated as a causal or contributory factor in numerous diseases. We sequenced 27 complete EBV genomes from a cohort of Multiple Sclerosis (MS) patients and healthy controls from Italy, although no variants showed a statistically significant association with MS. Taking advantage of the availability of ∼130 EBV genomes with known geographical origins, we reveal a striking geographic distribution of EBV sub-populations with distinct allele frequency distributions. We discuss mechanisms that potentially explain these observations, and their implications for understanding the association of EBV with human disease.
Published Version: doi:10.1093/gbe/evw226
Other Sources: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5203774/pdf/
Terms of Use: This article is made available under the terms and conditions applicable to Other Posted Material, as set forth at http://nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of-use#LAA
Citable link to this page: http://nrs.harvard.edu/urn-3:HUL.InstRepos:30371005
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