Evidence map›Paper›PMID 36997638›Full record

ArticleCommunications biology2023

Integration of epigenetic and genetic profiles identifies multiple sclerosis disease-critical cell types and genes.

Qin Ma, Hengameh Shams, Alessandro Didonna, Sergio E Baranzini, Bruce A C Cree, Stephen L Hauser, Roland G Henry, Jorge R Oksenberg

Open access · goldAbstract read
In one paragraph

Article in Communications biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
8.7field-weighted citation impact, top 2% of its field
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

24 citing papers in PubMed, 34 citations in OpenAlex.

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  16. GWAS highlights the neuronal contribution to multiple sclerosis susceptibility.medRxiv : the preprint server for health sciences · 2024
    Article
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  18. Article
  19. Interaction between miR-142-3p andInternational journal of molecular sciences · 2024
    Article
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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

8 authors at 2 institutions in 1 country.

Qin Ma *Weill Institute for Neurosciences, Department of Neurology, University of California San Francisco, San Francisco, CA, 94158, USA.ORCID 0000-0001-6642-0858
Hengameh Shams *Weill Institute for Neurosciences, Department of Neurology, University of California San Francisco, San Francisco, CA, 94158, USA.
Alessandro DidonnaDepartment of Anatomy and Cell Biology, Brody School of Medicine, East Carolina University, Greenville, NC, 27834, USA.
Sergio E BaranziniWeill Institute for Neurosciences, Department of Neurology, University of California San Francisco, San Francisco, CA, 94158, USA.ORCID 0000-0003-0067-194X
Bruce A C CreeWeill Institute for Neurosciences, Department of Neurology, University of California San Francisco, San Francisco, CA, 94158, USA.
Stephen L HauserWeill Institute for Neurosciences, Department of Neurology, University of California San Francisco, San Francisco, CA, 94158, USA.ORCID 0000-0002-4932-4001
Roland G HenryWeill Institute for Neurosciences, Department of Neurology, University of California San Francisco, San Francisco, CA, 94158, USA.ORCID 0000-0002-8232-7562
Jorge R OksenbergWeill Institute for Neurosciences, Department of Neurology, University of California San Francisco, San Francisco, CA, 94158, USA. jorge.oksenberg@ucsf.edu.ORCID 0000-0002-3613-9544
University of California, San Francisco · USEast Carolina University · US

Funding

The Role of B cells in the Origin and Progression of Multiple SclerosisR35NS111644 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI STEPHEN L HAUSER · 2019 to 2026
$9.1M
DNA methylation in the development of multiple sclerosisR01NS128277 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Jorge R. Oksenberg · 2023 to 2026
$2.6M
NINDS NIH HHS R01 NS128277NINDS NIH HHS R35 NS111644
6 · The paper itself

Abstract

Genome-wide association studies (GWAS) successfully identified multiple sclerosis (MS) susceptibility variants. Despite this notable progress, understanding the biological context of these associations remains challenging, due in part to the complexity of linking GWAS results to causative genes and cell types. Here, we aimed to address this gap by integrating GWAS data with single-cell and bulk chromatin accessibility data and histone modification profiles from immune and nervous systems. MS-GWAS associations are significantly enriched in regulatory regions of microglia and peripheral immune cell subtypes, especially B cells and monocytes. Cell-specific polygenic risk scores were developed to examine the cumulative impact of the susceptibility genes on MS risk and clinical phenotypes, showing significant associations with risk and brain white matter volume. The findings reveal enrichment of GWAS signals in B cell and monocyte/microglial cell-types, consistent with the known pathology and presumed targets of effective MS therapeutics.

Indexed as

B-LymphocytesMicrogliaMonocytesMultiple SclerosisBlood CellsBrainChromatinEnhancer Elements, GeneticEpigenesis, GeneticGenetic Predisposition to DiseaseGenetic Risk ScoreGenetic VariationHumansSingle-Cell Gene Expression AnalysisUK BiobankChromatin

Identifiers

PMID36997638
PMCPMC10063586
OpenAlexW4361274054

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.