Evidence map›Paper›PMID 41445616›Full record

ArticlemedRxiv : the preprint server for health sciences2025

Host Genetic Architecture between Epstein-Barr Virus Activity and Multiple Sclerosis Reveals Shared Pathways.

Yoshiaki Yasumizu, Namkwon Kim, Cyprien A Rivier, Jeonghyeon Moon, Shohei Kojima, Heng-Le Chen, Nicholas Buitrago-Pocasangre, Elizabeth Quinn, Stephen Vaughn, Annalisa Morgan and 7 more

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2025. 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

17 authors.

Yoshiaki YasumizuDepartment of Neurology, Yale School of Medicine, New Haven, CT, 06510, USA.ORCID 0000-0002-9872-4909
Namkwon KimDepartment of Neurology, Yale School of Medicine, New Haven, CT, 06510, USA.
Cyprien A RivierDepartment of Neurology, Yale School of Medicine, New Haven, CT, 06510, USA.ORCID 0000-0002-1148-1829
Jeonghyeon MoonDepartment of Neurology, Yale School of Medicine, New Haven, CT, 06510, USA.
Shohei KojimaKeio University Human Biology-Microbiome-Quantum Research Center (WPI-Bio2Q), Tokyo, 160-8582, Japan.ORCID 0000-0002-6764-4818
Heng-Le ChenDepartment of Neurology, Yale School of Medicine, New Haven, CT, 06510, USA.
Nicholas Buitrago-PocasangreDepartment of Neurology, Yale School of Medicine, New Haven, CT, 06510, USA.ORCID 0000-0002-1333-4435
Elizabeth QuinnDepartment of Neurology, Yale School of Medicine, New Haven, CT, 06510, USA.
Stephen VaughnDepartment of Neurology, Yale School of Medicine, New Haven, CT, 06510, USA.ORCID 0009-0003-7515-8638
Annalisa MorganDepartment of Neurology, Yale School of Medicine, New Haven, CT, 06510, USA.ORCID 0000-0002-8843-5564
Shufan HuoDepartment of Neurology, Yale School of Medicine, New Haven, CT, 06510, USA.ORCID 0000-0002-0119-7517
Andrew SilberfeldDepartment of Neurology, Yale School of Medicine, New Haven, CT, 06510, USA.
Tomokazu S SumidaDepartment of Neurology, Yale School of Medicine, New Haven, CT, 06510, USA.ORCID 0000-0002-9806-2642
Kazuyoshi IshigakiKeio University Human Biology-Microbiome-Quantum Research Center (WPI-Bio2Q), Tokyo, 160-8582, Japan.ORCID 0000-0003-2881-0657
Erin E LongbrakeDepartment of Neurology, Yale School of Medicine, New Haven, CT, 06510, USA.
Guido J FalconeDepartment of Neurology, Yale School of Medicine, New Haven, CT, 06510, USA.ORCID 0000-0002-6407-0302
David A HaflerDepartment of Neurology, Yale School of Medicine, New Haven, CT, 06510, USA.ORCID 0000-0003-4664-535X

Funding

Role of Negative Costimulation in Regulation of AutoimmunityP01AI039671 · NIAID · YALE UNIVERSITY · PI David A. Hafler · 1996 to 2026
$51.7M
Zoledronic Acid in Treatment of Osteoporosis in PostmenoM01RR002635 · NCRR · BRIGHAM AND WOMEN'S HOSPITAL · PI LUDWIG, DAVID S · 1985 to 2008
$48.4M
Yale SPORE in Skin CancerP50CA121974 · NCI · YALE UNIVERSITY · PI DAVID F STERN · 2006 to 2026
$43.9M
Yale Study Support Suite (YES3): Dashboard and Web Portal Software Supporting Research Workflow through integrated, customizable REDCap External ModulesP30AG021342 · NIA · YALE UNIVERSITY · PI Thomas Michael Gill · 2002 to 2026
$37.9M
TCR recognition of MHC class II peptide compexes in multiple sclerosisP01AI045757 · NIAID · DANA-FARBER CANCER INSTITUTE · PI KUCHROO, VIJAY K., LOVE, JOHN CHRISTOPHER · 1999 to 2017
$22.8M
Transgenic / Knock-out mouse coreP01AI073748 · NIAID · BRIGHAM AND WOMEN'S HOSPITAL · PI KUCHROO, VIJAY K. · 2008 to 2019
$17.1M
(8) Mechanisms of autoimmune endocrine diseases in patients receiving checkpoint inhibitorsR01CA227473 · NCI · YALE UNIVERSITY · PI HEROLD, KEVAN C, KLUGER, HARRIET M. · 2018 to 2022
$3.2M
NCI NIH HHS P50 CA121974NCI NIH HHS R01 CA227473NCRR NIH HHS M01 RR002635NIAID NIH HHS P01 AI039671NIAID NIH HHS P01 AI045757NIAID NIH HHS P01 AI073748NIA NIH HHS P30 AG021342
6 · The paper itself

Abstract

Epstein-Barr virus (EBV) is strongly implicated as an essential environmental trigger of multiple sclerosis (MS), yet the host genetic mechanisms governing EBV activity and how infection triggers the disease are not known. We developed a pipeline to quantify EBV DNA from whole-genome sequencing data and applied it to population-scale cohorts. Using this pipeline, we performed a cross-ancestry genome-wide association study (GWAS) of EBV DNA positivity in 617,186 individuals and identified 39 independent susceptibility risk loci, with the strongest associations in the HLA region. We validated this finding in our independent cohort (

Identifiers

PMID41445616
PMCPMC12723777

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.