Article

Genetic subtypes predict multiple sclerosis severity and response to treatment

2025-04-17

Abstract excerpt

<h4>Background</h4> Predicting response to treatment and risk of long-term disability in multiple sclerosis (MS) is challenging. In other disease areas, combining genetic risk variants enabled detection of relevant clinical endophenotypes associated with important outcomes, but this has never been applied to MS. <h4>Methods</h4> We applied unsupervised hierarchical clustering to genomic risk scores of two cohorts...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: b67c56ce-9426-53c6-a7df-a3f0b30728c5
DOI: 10.1101/2025.04.15.25325853

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Genetic subtypes predict multiple sclerosis severity and response to treatmentDOI 10.1101/2025.04.15.25325853Read

Role of genetic susceptibility variants in predicting clinical course in multiple sclerosis: a cohort study.Semantic proximity Read

Genetic model of MS severity predicts future accumulation of disabilitySemantic proximity Read

Contrasting genetic architectures of multiple sclerosis susceptibility and outcome phenotypes.Semantic proximity Read

The Canadian Collaborative Project on Genetic Susceptibility to Multiple Sclerosis cohort population structure and disease etiologySemantic proximity Read

Multiple sclerosis risk loci and disease severity in 7,125 individuals from 10 studiesSemantic proximity Read

Not all roads lead to the immune system: The Genetic Basis of Multiple Sclerosis Severity Implicates Central Nervous System and Mitochondrial InvolvementSemantic proximity Read

Genetic modifiers of multiple sclerosis progression, severity and onset.Semantic proximity Read

Multiple sclerosis genetics--is the glass half full, or half empty?Semantic proximity Read

Genetics and functional genomics of multiple sclerosis.Semantic proximity Read

Predicting personalised risk of disability worsening in multiple sclerosis with machine learningSemantic proximity Read

Integration of genetic risk factors into a clinical algorithm for multiple sclerosis susceptibility: a weighted genetic risk score.Semantic proximity Read

Ensemble genetic machine learning identifies Multiple Sclerosis genetic loci associated with future worsening of disabilitySemantic proximity Read