Evidence map›Paper›PMID 41969426›Full record

ArticleNAR molecular medicine2026

EBV genome analysis in multiple sclerosis shows extensive viral diversity and links to autoimmunity.

Joonas Lehikoinen, Leo Hannolainen, Osma S Rautila, Zachery W Dickson, Lari Pyöriä, Liane Dieterich, Lilja Jansson, Silja Tammi, Klaus Hedman, Maria F Perdomo and 1 more

Abstract read
In one paragraph

Article in NAR molecular medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Joonas LehikoinenTranslational Immunology Research Program, University of Helsinki, Helsinki, P.O 63, 00014,  Finland.ORCID https://orcid.org/0000-0002-6709-1563
Leo HannolainenDepartment of Virology, Medicum, Faculty of Medicine, University of Helsinki, Helsinki, 00290,  Finland.ORCID https://orcid.org/0009-0005-5982-413X
Osma S RautilaTranslational Immunology Research Program, University of Helsinki, Helsinki, P.O 63, 00014,  Finland.
Zachery W DicksonDepartment of Virology, Medicum, Faculty of Medicine, University of Helsinki, Helsinki, 00290,  Finland.ORCID https://orcid.org/0000-0002-6976-1823
Lari PyöriäDepartment of Virology, Medicum, Faculty of Medicine, University of Helsinki, Helsinki, 00290,  Finland.ORCID https://orcid.org/0000-0001-9504-5807
Liane DieterichTranslational Immunology Research Program, University of Helsinki, Helsinki, P.O 63, 00014,  Finland.
Lilja JanssonTranslational Immunology Research Program, University of Helsinki, Helsinki, P.O 63, 00014,  Finland.
Silja TammiResearch and Development, Finnish Red Cross Blood Service, Helsinki, 01730,  Finland.
Klaus HedmanDepartment of Virology, Medicum, Faculty of Medicine, University of Helsinki, Helsinki, 00290,  Finland.ORCID https://orcid.org/0000-0003-1779-7960
Maria F PerdomoDepartment of Virology, Medicum, Faculty of Medicine, University of Helsinki, Helsinki, 00290,  Finland.ORCID https://orcid.org/0000-0002-9031-4251
Pentti J TienariTranslational Immunology Research Program, University of Helsinki, Helsinki, P.O 63, 00014,  Finland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Epstein-Barr virus (EBV) is a major risk factor for multiple sclerosis (MS), yet the contribution of specific viral variants remains unclear. Complete EBV genome analysis of wild-type variants has not been performed previously. In a pilot-study, targeted EBV sequencing of B cells did not yield adequate coverages due to excess of human DNA. Thus, we developed an

Identifiers

PMID41969426
PMCPMC13064507

What OpenQuestion holds

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Registered trials

None linked

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.