Background: Multiple sclerosis (MS) treatment response varies significantly, hindering effective management and necessitating better predictive biomarkers. Pharmacogenomics offers a promising avenue to identify genetic markers that, combined with clinico-demographic predictors, could enhance personalized therapeutic decisions. Objectives: This multi-center study investigated genetic determinants of response to interferon-beta (IFN-β) and glatiramer acetate (GA) in European ancestry patients with relapsing–remitting MS (RRMS). Methods: After harmonization and quality control, we tested over 6 million genetic variants. We used negative binomial regression, meta-analysis, and gene-set enrichment to link variants, genes, and biological pathways to treatment response. Results: In 679 GA and 1614 IFN-β patients, the top GA variant was rs2053696A in MAP3 K1 (p = 3.97*10−9), involved in key signaling pathways. Another significant GA signal was in WWOX. For IFN-β, no genome-wide significant variants were found, but suggestive signals emerged near ZMIZ1, ZCCHC7, and other genes linked to immune function and interferon signaling. Gene-set analysis revealed IL-17 regulation for GA and ion channel pathways for IFN-β. Conclusion: This study identified novel genetic variants for GA response, implicating genes in crucial pathways. For IFN-β, suggestive signals point to immune and interferon-related genes. These findings enhance our understanding of genetic influences on RRMS treatment response, while highlighting pharmacogenomic research challenges.

Pharmacogenomics of response to interferon-beta and glatiramer acetate in Multiple Sclerosis: A multi-centric study / Corona, A.; Clarelli, F.; Paakkonen, K.; Harroud, A.; Shchetynsky, K.; Zollo, A.; Mingione, A.; Sorosina, M.; Mascia, E.; Giordano, A.; Rocca, M. A.; Piehl, F.; Stridh, P.; Hemmer, B.; Goris, A.; Dubois, B.; Sondergaard, H. B.; Sellebjerg, F.; D'Alfonso, S.; Harbo, H. F.; Olsson, T.; Saarela, J.; Priori, A.; Filippi, M.; Kockum, I.; Esposito, F.; Martinelli Boneschi, F.. - In: MULTIPLE SCLEROSIS. - ISSN 1352-4585. - (2026). [Epub ahead of print] [10.1177/13524585261417130]

Pharmacogenomics of response to interferon-beta and glatiramer acetate in Multiple Sclerosis: A multi-centric study

Mascia E.;Giordano A.;Rocca M. A.;Filippi M.;
2026-01-01

Abstract

Background: Multiple sclerosis (MS) treatment response varies significantly, hindering effective management and necessitating better predictive biomarkers. Pharmacogenomics offers a promising avenue to identify genetic markers that, combined with clinico-demographic predictors, could enhance personalized therapeutic decisions. Objectives: This multi-center study investigated genetic determinants of response to interferon-beta (IFN-β) and glatiramer acetate (GA) in European ancestry patients with relapsing–remitting MS (RRMS). Methods: After harmonization and quality control, we tested over 6 million genetic variants. We used negative binomial regression, meta-analysis, and gene-set enrichment to link variants, genes, and biological pathways to treatment response. Results: In 679 GA and 1614 IFN-β patients, the top GA variant was rs2053696A in MAP3 K1 (p = 3.97*10−9), involved in key signaling pathways. Another significant GA signal was in WWOX. For IFN-β, no genome-wide significant variants were found, but suggestive signals emerged near ZMIZ1, ZCCHC7, and other genes linked to immune function and interferon signaling. Gene-set analysis revealed IL-17 regulation for GA and ion channel pathways for IFN-β. Conclusion: This study identified novel genetic variants for GA response, implicating genes in crucial pathways. For IFN-β, suggestive signals point to immune and interferon-related genes. These findings enhance our understanding of genetic influences on RRMS treatment response, while highlighting pharmacogenomic research challenges.
2026
glatiramer acetate
interferons
Multiple sclerosis
pharmacogenomics
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.11768/197043
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