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Geographic Population Structure in Epstein-Barr Virus Revealed by Comparative Genomics
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 showe...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5203774/ https://www.ncbi.nlm.nih.gov/pubmed/27635051 http://dx.doi.org/10.1093/gbe/evw226 |
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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. |
author_facet | 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. |
author_sort | Chiara, Matteo |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-5203774 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-52037742017-01-06 Geographic Population Structure in Epstein-Barr Virus Revealed by Comparative Genomics 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. Genome Biol Evol Genome Report 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. Oxford University Press 2016-11-09 /pmc/articles/PMC5203774/ /pubmed/27635051 http://dx.doi.org/10.1093/gbe/evw226 Text en © The Author 2016. Published by Oxford University Press on behalf of the Society for Molecular Biology and Evolution. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Genome Report 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. Geographic Population Structure in Epstein-Barr Virus Revealed by Comparative Genomics |
title | Geographic Population Structure in Epstein-Barr Virus Revealed by Comparative Genomics |
title_full | Geographic Population Structure in Epstein-Barr Virus Revealed by Comparative Genomics |
title_fullStr | Geographic Population Structure in Epstein-Barr Virus Revealed by Comparative Genomics |
title_full_unstemmed | Geographic Population Structure in Epstein-Barr Virus Revealed by Comparative Genomics |
title_short | Geographic Population Structure in Epstein-Barr Virus Revealed by Comparative Genomics |
title_sort | geographic population structure in epstein-barr virus revealed by comparative genomics |
topic | Genome Report |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5203774/ https://www.ncbi.nlm.nih.gov/pubmed/27635051 http://dx.doi.org/10.1093/gbe/evw226 |
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