Journal of neurology, neurosurgery, and psychiatry · 2026
Genetic subtypes associated with multiple sclerosis severity and response to treatment.
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Kreft Karim L, Mekkes Nienke J, Uzochukwu Emeka, Loveless Sam, Wynford-Thomas Ray, Harding Katharine Elizabeth, Wardle Mark, Holmans Peter, Brown J William L, Lawton Michael, Tallantyre Emma Clare, Holtman Inge R, Robertson Neil P
Аннотация
BACKGROUND: Predicting response to treatment and long-term disability in multiple sclerosis (MS) remains challenging. In other complex diseases, combining genetic risk variants has enabled the detection of relevant clinical endophenotypes associated with important outcomes, but this strategy has never been applied to MS.
METHODS: We applied unsupervised hierarchical clustering to genomic risk scores in a prospective Welsh MS cohort (n=1455) and replicated the findings in the postmortem Netherlands Brain Bank (NBB) MS (NBB-MS) cohort (n=272). Disease progression was assessed using survival analysis to determine the time to Expanded Disability Status Scale (EDSS) milestones.
RESULTS: Three genomic clusters were identified, each with similar genetic profiles. Baseline demographics did not differ between clusters. Welsh patients in cluster 1 attained EDSS 6 and EDSS 8 significantly later than clusters 2 and 3 (by 6 years, p=3×10-3 and 13 years, p=0.02, respectively). These findings were replicated in the NBB-MS cohort (6-year delay to EDSS 6 for cluster 1 vs 2, p=0.04). Genomic clustering independently predicted disease progression (HRs 1.3-2.0, all p<0.05), beyond established risk factors. Clusters 2 and 3 showed a greater annual increase in T2 lesion load on serial MR imaging (p=0.04). In cluster 2, patients receiving disease-modifying treatments had delayed progression to EDSS 6 (p=3×10-³), while no such benefit was observed in clusters 1 or 3. Cluster 2 patients also had earlier onset of symptoms, including dysphagia (p=0.02) and spasticity (p=8×10-⁴) in the NBB-MS cohort.
CONCLUSIONS: Genetic clustering reveals clinically meaningful MS subtypes with distinct prognoses and treatment responses, highlighting its potential role in precision medicine for MS management.
METHODS: We applied unsupervised hierarchical clustering to genomic risk scores in a prospective Welsh MS cohort (n=1455) and replicated the findings in the postmortem Netherlands Brain Bank (NBB) MS (NBB-MS) cohort (n=272). Disease progression was assessed using survival analysis to determine the time to Expanded Disability Status Scale (EDSS) milestones.
RESULTS: Three genomic clusters were identified, each with similar genetic profiles. Baseline demographics did not differ between clusters. Welsh patients in cluster 1 attained EDSS 6 and EDSS 8 significantly later than clusters 2 and 3 (by 6 years, p=3×10-3 and 13 years, p=0.02, respectively). These findings were replicated in the NBB-MS cohort (6-year delay to EDSS 6 for cluster 1 vs 2, p=0.04). Genomic clustering independently predicted disease progression (HRs 1.3-2.0, all p<0.05), beyond established risk factors. Clusters 2 and 3 showed a greater annual increase in T2 lesion load on serial MR imaging (p=0.04). In cluster 2, patients receiving disease-modifying treatments had delayed progression to EDSS 6 (p=3×10-³), while no such benefit was observed in clusters 1 or 3. Cluster 2 patients also had earlier onset of symptoms, including dysphagia (p=0.02) and spasticity (p=8×10-⁴) in the NBB-MS cohort.
CONCLUSIONS: Genetic clustering reveals clinically meaningful MS subtypes with distinct prognoses and treatment responses, highlighting its potential role in precision medicine for MS management.