Chiara, MatteoManzari, CaterinaLionetti, ClaudiaMechelli, RosellaAnastasiadou, EleniChiara Buscarinu, MariaRistori, GiovanniSalvetti, MarcoPicardi, ErnestoD’Erchia, Anna MariaPesole, GrazianoHorner, David S.2017-02-182016Chiara, 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/evw226.1759-6653http://nrs.harvard.edu/urn-3:HUL.InstRepos:30371005Epstein-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.en-UScomparative genomicsgenome sequencepopulation structureEpstein-Barr virusJournal Article2017-02-1810.1093/gbe/evw226