Evidence map›Paper›PMID 42706308›Full record

ArticleNature genetics2026

Multiancestry genome-wide association and multiomics analyses elucidate spatiocellular features of multiple sclerosis genetics.

Rintaro Fujimoto, Kotaro Ogawa, Shinichi Namba, Yosuke Ogawa, Ryuya Edahiro, Kyuto Sonehara, Shiori Tagawa, Mitsuru Watanabe, Tomohiro Yata, Yuya Shirai and 25 more

Abstract read
In one paragraph

Article in Nature genetics, 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

35 authors.

Rintaro Fujimoto *Department of Genome Informatics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.ORCID http://orcid.org/0009-0008-8345-6324
Kotaro Ogawa *Department of Neurology, Graduate School of Medicine, The University of Osaka, Suita, Japan.ORCID http://orcid.org/0000-0002-2566-7675
Shinichi NambaDepartment of Genome Informatics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.ORCID http://orcid.org/0000-0002-7486-3146
Yosuke OgawaDepartment of Genome Informatics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.ORCID http://orcid.org/0000-0002-5049-5764
Ryuya EdahiroDepartment of Statistical Genetics, Graduate School of Medicine, The University of Osaka, Suita, Japan.ORCID http://orcid.org/0000-0001-5009-6408
Kyuto SoneharaDepartment of Genome Informatics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.ORCID http://orcid.org/0000-0002-4536-1761
Shiori TagawaDepartment of Genome Informatics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Mitsuru WatanabeDepartment of Neurology, Neurological Institute, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.ORCID http://orcid.org/0000-0003-0831-623X
Tomohiro YataDepartment of Neurology, Graduate School of Medicine, The University of Osaka, Suita, Japan.
Yuya ShiraiDepartment of Statistical Genetics, Graduate School of Medicine, The University of Osaka, Suita, Japan.ORCID http://orcid.org/0000-0002-0518-9020
Yuji YamamotoDepartment of Statistical Genetics, Graduate School of Medicine, The University of Osaka, Suita, Japan.ORCID http://orcid.org/0000-0002-5489-5079
Go SatoDepartment of Genome Informatics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.ORCID http://orcid.org/0009-0000-1251-8403
Chifune KaiDepartment of Statistical Genetics, Graduate School of Medicine, The University of Osaka, Suita, Japan.
Tatsuhiko NaitoDepartment of Genome Informatics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.ORCID http://orcid.org/0000-0002-2779-4600
Akiko HosokawaDepartment of Neurology, Graduate School of Medicine, The University of Osaka, Suita, Japan.
Mamoru YamamotoDepartment of Neurology, Faculty of Medicine, University of Toyama, Toyama, Japan.
Japan MS/NMOSD Biobank
BioBank Japan Project
Koichi MatsudaLaboratory of Clinical Genome Sequencing, Graduate School of Frontier Sciences, The University of Tokyo, Tokyo, Japan.
Fumitaka ShimizuDepartment of Neurology, Yamaguchi University Graduate School of Medicine, Ube, Japan.
Makoto KinoshitaDepartment of Neurology, Graduate School of Medicine, The University of Osaka, Suita, Japan.
Masahito MiharaDepartment of Neurology, Kawasaki Medical School, Kurashiki, Japan.
Masayuki NakamoriDepartment of Neurology, Yamaguchi University Graduate School of Medicine, Ube, Japan.ORCID http://orcid.org/0000-0003-4714-3044
Yuko ShimizuDepartment of Neurology, Tokyo Women's Medical University, Tokyo, Japan.
Izumi KawachiDepartment of Neurology, Brain Research Institute, Niigata University, Niigata, Japan.ORCID http://orcid.org/0000-0002-7140-8500
Katsuichi MiyamotoDepartment of Neurology, Wakayama Medical University, Wakayama, Japan.ORCID http://orcid.org/0000-0002-0349-9842
Masaaki NiinoDepartment of Clinical Research, National Hospital Organization Hokkaido Medical Center, Sapporo, Japan.ORCID http://orcid.org/0000-0001-5722-920X
Atsushi KumanogohDepartment of Respiratory Medicine and Clinical Immunology, Graduate School of Medicine, The University of Osaka, Suita, Japan.ORCID http://orcid.org/0000-0003-4749-7117
Yuji NakatsujiDepartment of Neurology, Faculty of Medicine, University of Toyama, Toyama, Japan.
Takuya MatsushitaDepartment of Neurology, Kochi Medical School, Kochi University, Nankoku, Japan.
Hideki MochizukiDepartment of Neurology, Graduate School of Medicine, The University of Osaka, Suita, Japan.ORCID http://orcid.org/0000-0002-0874-7542
Jun-Ichi KiraDepartment of Neurology, Neurological Institute, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
Tatsusada OkunoDepartment of Neurology, Graduate School of Medicine, The University of Osaka, Suita, Japan. okuno@neurol.med.osaka-u.ac.jp.ORCID http://orcid.org/0000-0002-1208-936X
Noriko IsobeDepartment of Neurology, Neurological Institute, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan. isobe.noriko.342@m.kyushu-u.ac.jp.ORCID http://orcid.org/0000-0001-9525-4254
Yukinori OkadaDepartment of Genome Informatics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan. yuki-okada@m.u-tokyo.ac.jp.ORCID http://orcid.org/0000-0002-0311-8472

Funding

Wellcome Trust
6 · The paper itself

Abstract

Multiple sclerosis (MS) is a chronic inflammatory disease of the central nervous system characterized by demyelination disseminated in space and time. Here we performed a genome-wide association study (GWAS) using 688 MS cases and 205,199 controls from the Japanese population and identified significant associations in the major histocompatibility complex region and a population-specific risk variant in 11q24. Through cross-population GWAS meta-analyses using a total of 29,374 cases and 1,843,563 controls from 4 ancestral populations, we identified 22 novel susceptibility loci. Integration of GWAS and single-cell and single-nucleus RNA sequencing of peripheral blood mononuclear cells and subcortical lesions from patients with MS revealed enrichment of genetic risk factors for MS in CD4

Indexed as

Genetic Predisposition to DiseaseGenome-Wide Association StudyMultiple SclerosisCase-Control StudiesFemaleHumansMultiomicsPolymorphism, Single NucleotideRisk FactorsSpatial Transcriptomics

Identifiers

PMID42706308
PMCPMC13553293

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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.