Evidence map›Paper›PMID 27635051›Full record

ArticleGenome biology and evolution2016

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

Matteo Chiara, Caterina Manzari, Claudia Lionetti, Rosella Mechelli, Eleni Anastasiadou, Maria Chiara Buscarinu, Giovanni Ristori, Marco Salvetti, Ernesto Picardi, Anna Maria D'Erchia and 2 more

Registry-linked trialAbstract read
In one paragraph

Article in Genome biology and evolution, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05245344 (Effects of Ozanimod on Immune-mediated Mechanisms of Neurodegeneration in Multiple Sclerosis - a Preclinical Study), which is not on this map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT05245344 unknown statusnot on this mapstarted 2022, after this paper: background citation

Effects of Ozanimod on Immune-mediated Mechanisms of Neurodegeneration in Multiple Sclerosis - a Preclinical Study

TypeobservationalSponsorNeuromed IRCCSRan2022 to 2023Enrolled154ConditionsRelapsing-Remitting Multiple Sclerosis (RRMS), Neuromyelitis Optica, HealthyArmsPeripheral blood withdrawal
3 · Its place in the literature

Who cites it

26 citing papers in PubMed.

  1. Trial
  2. Article
  3. A disease-specific convergence of host and Epstein-Barr virus genetics in multiple sclerosis.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Human herpesvirus diversity is altered in HLA class I binding peptides.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  11. Article
  12. Article
  13. When Viruses Cross Developmental Pathways.Frontiers in cell and developmental biology · 2021
    Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Matteo ChiaraDepartment of Biosciences, University of Milan, Milan, Italy.
Caterina ManzariInstitute of Biomembranes and Bioenergetics, Consiglio Nazionale delle Ricerche, Bari, Italy.
Claudia LionettiInstitute of Biomembranes and Bioenergetics, Consiglio Nazionale delle Ricerche, Bari, Italy.
Rosella MechelliCentre for Experimental Neurological Therapies, S. Andrea Hospital-site, Department of Neuroscience, Mental Health and Sensory Organs (NESMOS), Faculty of Medicine and Psychology, Sapienza University, Rome, Italy.
Eleni AnastasiadouDepartment of Pathology, Beth Israel Deaconess Medical Center/Harvard Medical School, Boston, Massachusetts.
Maria Chiara BuscarinuCentre for Experimental Neurological Therapies, S. Andrea Hospital-site, Department of Neuroscience, Mental Health and Sensory Organs (NESMOS), Faculty of Medicine and Psychology, Sapienza University, Rome, Italy.
Giovanni RistoriCentre for Experimental Neurological Therapies, S. Andrea Hospital-site, Department of Neuroscience, Mental Health and Sensory Organs (NESMOS), Faculty of Medicine and Psychology, Sapienza University, Rome, Italy.
Marco SalvettiCentre for Experimental Neurological Therapies, S. Andrea Hospital-site, Department of Neuroscience, Mental Health and Sensory Organs (NESMOS), Faculty of Medicine and Psychology, Sapienza University, Rome, Italy.
Ernesto PicardiInstitute of Biomembranes and Bioenergetics, Consiglio Nazionale delle Ricerche, Bari, Italy.
Anna Maria D'ErchiaInstitute of Biomembranes and Bioenergetics, Consiglio Nazionale delle Ricerche, Bari, Italy.
Graziano PesoleInstitute of Biomembranes and Bioenergetics, Consiglio Nazionale delle Ricerche, Bari, Italy.
David S HornerDepartment of Biosciences, University of Milan, Milan, Italy david.horner@unimi.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Genome, ViralCase-Control StudiesCell LineCells, CulturedEpstein-Barr Virus InfectionsFemaleGene FrequencyHerpesvirus 4, HumanHumansItalyMaleMultiple Sclerosis, Relapsing-RemittingPolymorphism, Geneticcomparative genomicsEpstein-Barr virusgenome sequencepopulation structure

Identifiers

PMID27635051
PMCPMC5203774

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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.