Analysis of genes, pathways and networks involved in disease severity and age at onset in primary-progressive multiple sclerosis

Background: The role of genetic factors in influencing the clinical expression of multiple sclerosis (MS) is unclear. Objective: The objective of this paper is to identify genes, pathways and networks implicated in age at onset (AAO) and severity, measured using the Multiple Sclerosis Severity Score...

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Published in:	Multiple sclerosis Vol. 21; no. 11; pp. 1431 - 1442
Main Authors:	Giacalone, G, Clarelli, F, Osiceanu, AM, Guaschino, C, Brambilla, P, Sorosina, M, Liberatore, G, Zauli, A, Esposito, F, Rodegher, M, Ghezzi, A, Galimberti, D, Patti, F, Barizzone, N, Guerini, F, Martinelli, V, Leone, M, Comi, G, D’Alfonso, S, Martinelli Boneschi, F
Format:	Journal Article
Language:	English
Published:	London, England SAGE Publications 01-10-2015 Sage Publications Ltd
Subjects:	Adult Age of Onset Female Gene Regulatory Networks - genetics Genome-Wide Association Study Humans Italy Male Middle Aged Multiple Sclerosis, Chronic Progressive - epidemiology Multiple Sclerosis, Chronic Progressive - genetics Multiple Sclerosis, Chronic Progressive - physiopathology Severity of Illness Index Italy severity GWAS multiple sclerosis primary-progressive network analysis pathway analysis age at onset
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Summary:	Background: The role of genetic factors in influencing the clinical expression of multiple sclerosis (MS) is unclear. Objective: The objective of this paper is to identify genes, pathways and networks implicated in age at onset (AAO) and severity, measured using the Multiple Sclerosis Severity Score (MSSS), of primary-progressive MS (PPMS). Methods: We conducted a genome-wide association study (GWAS) of 470 PPMS patients of Italian origin:. Allelic association of 296,589 SNPs with AAO and MSSS was calculated. Pathway and network analyses were also conducted using different tools. Results: No single association signal exceeded genome-wide significance in AAO and MSSS analyses. Nominally associated genes to AAO and MSSS were enriched in both traits for 10 pathways, including: “oxidative phosphorylation” (FDRAAO=910−4; FDRMSSS=3.010−2), “citrate (TCA) cycle” (FDRAAO=1.610−2; FDRMSSS=3.210−3), and “B cell receptor signaling” (FDRAAO=3.110−2; FDRMSSS=2.210−3). In addition, an enrichment of “chemokine signaling pathway” (FDR=910−4) for AAO and of “leukocyte transendothelial migration” (FDR=2.410−3) for MSSS trait was observed, among others. Network analysis revealed that p53 and CREB1 were central hubs for AAO and MSSS traits, respectively. Conclusions: Despite the fact that no major effect signals emerged in the present GWAS, our data suggest that genetic variants acting in the context of oxidative stress and immune dysfunction could modulate the onset and severity of PPMS.
Bibliography:	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23
ISSN:	1352-4585 1477-0970
DOI:	10.1177/1352458514564590