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

Articolo
Data di Pubblicazione:
2016
Citazione:
Geographic Population Structure in Epstein-Barr Virus Revealed by Comparative Genomics / M. Chiara, C. Manzari, C. Lionetti, R. Mechelli, E. Anastasiadou, M. Chiara Buscarinu, G. Ristori, M. Salvetti, E. Picardi, A.M. D'Erchia, G. Pesole, D.S. Horner. - In: GENOME BIOLOGY AND EVOLUTION. - ISSN 1759-6653. - 8:11(2016 Nov), pp. 3284-3291.
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.
Tipologia IRIS:
01 - Articolo su periodico
Keywords:
Epstein-Barr virus; comparative genomics; genome sequence; population structure
Elenco autori:
M. Chiara, C. Manzari, C. Lionetti, R. Mechelli, E. Anastasiadou, M. Chiara Buscarinu, G. Ristori, M. Salvetti, E. Picardi, A.M. D'Erchia, G. Pesole, D.S. Horner
Autori di Ateneo:
CHIARA MATTEO ( autore )
HORNER DAVID STEPHEN ( autore )
Link alla scheda completa:
https://air.unimi.it/handle/2434/482165
Link al Full Text:
https://air.unimi.it/retrieve/handle/2434/482165/819645/MatteoHorner_GENOMEBIOLOGYEVOLUTION_GeographicPopulation_2016.pdf
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