Geographic Population Structure in Epstein-Barr Virus Revealed by Comparative Genomics
Chiara Buscarinu, Maria
D’Erchia, Anna Maria
Horner, David S.Note: Order does not necessarily reflect citation order of authors.
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CitationChiara, 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.
AbstractEpstein-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.
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