Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Whole-blood methylation signatures are associated with and accurately classify multiple sclerosis disease severity

1 Dec 2022

Abstract excerpt

BACKGROUND: The variation in multiple sclerosis (MS) disease severity is incompletely explained by genetics, suggesting genetic and environmental interactions are involved. Moreover, the lack of prognostic biomarkers makes it difficult for clinicians to optimise care. DNA methylation is one epigenetic mechanism by which gene-environment interactions can be assessed. Here, we aimed to identify DNA methylation...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Amyotrophic Lateral Sclerosis Research
Share to Epigenetics and DNA Methylation
Share to Multiple Sclerosis Research Studies

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 36585691
DOI: 10.1186/s13148-022-01397-2

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Whole-blood methylation signatures are associated with and accurately classify multiple sclerosis disease severityPMID 36585691Read ↗

DNA methylation signatures of Multiple Sclerosis occur independently of genetic risk and are primarily attributed to B cells and monocytesSemantic proximity Read ↗

Circulating cell-free DNA methylation profiles as noninvasive multiple sclerosis biomarkers: A proof-of-concept studySemantic proximity Read ↗

Combining evidence from four immune cell types identifies DNA methylation patterns that implicate functionally distinct pathways during Multiple Sclerosis progressionSemantic proximity Read ↗

Not all roads lead to the immune system: the genetic basis of multiple sclerosis severitySemantic proximity Read ↗

Utilising multi-large omics data to elucidate biological mechanisms within multiple sclerosis genetic susceptibility loci.Semantic proximity Read ↗

DNA methylation signatures of monozygotic twins clinically discordant for multiple sclerosisSemantic proximity Read ↗

Dissection of multiple sclerosis genetics identifies B and CD4+ T cells as driver cell subsetsSemantic proximity Read ↗

Identification of HLA-DQA1 and HLA-DRB5 as Risk Factors for Multiple Sclerosis: An Epigenome-Wide Methylation Haplotype Association Analysis.Semantic proximity Read ↗

Neuronal methylome reveals CREB-associated neuro-axonal impairment in multiple sclerosisSemantic proximity Read ↗

Genetic subtypes predict multiple sclerosis severity and response to treatmentSemantic proximity Read ↗

DNA Methylation Signatures of a Large Cohort Monozygotic Twins Clinically Discordant for Multiple SclerosisSemantic proximity Read ↗

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

⌁Select a neighboring publication to make it the new centre.