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Burden of rare coding variants in an Italian cohort of familial multiple sclerosis.

Authors :
Mascia E
Clarelli F
Zauli A
Guaschino C
Sorosina M
Barizzone N
Basagni C
Santoro S
Ferrè L
Bonfiglio S
Biancolini D
Pozzato M
Guerini FR
Protti A
Liguori M
Moiola L
Vecchio D
Bresolin N
Comi G
Filippi M
Esposito F
D'Alfonso S
Martinelli-Boneschi F
Source :
Journal of neuroimmunology [J Neuroimmunol] 2022 Jan 15; Vol. 362, pp. 577760. Date of Electronic Publication: 2021 Nov 05.
Publication Year :
2022

Abstract

Background: Multiple Sclerosis (MS) is a chronic inflammatory and neurodegenerative demyelinating disease of the central nervous system. It is a complex and heterogeneous disease caused by a combination of genetic and environmental factors, and it can cluster in families.<br />Objective: to evaluate at gene-level the aggregate contribution of predicted damaging low-frequency and rare variants to MS risk in multiplex families.<br />Methods: We performed whole exome sequencing (WES) in 28 multiplex MS families with at least 3 MS cases (81 affected and 42 unaffected relatives) and 38 unrelated healthy controls. A gene-based burden test was then performed, focusing on two sets of candidate genes: i) literature-driven selection and ii) data-driven selection.<br />Results: We identified 11 genes enriched with predicted damaging low-frequency and rare variants in MS compared to healthy individuals. Among them, UBR2 and DST were the two genes with the strongest enrichment (p = 5 × 10 <superscript>-4</superscript> and 3 × 10 <superscript>-4</superscript> , respectively); interestingly enough the association signal in UBR2 is driven by rs62414610, which was present in 25% of analysed families.<br />Conclusion: Despite limitations, this is one of the first studies evaluating the aggregate contribution of predicted damaging low-frequency and rare variants in MS families using WES data. A replication effort in independent cohorts is warranted to validate our findings and to evaluate the role of identified genes in MS pathogenesis.<br /> (Copyright © 2021 Elsevier B.V. All rights reserved.)

Details

Language :
English
ISSN :
1872-8421
Volume :
362
Database :
MEDLINE
Journal :
Journal of neuroimmunology
Publication Type :
Academic Journal
Accession number :
34922125
Full Text :
https://doi.org/10.1016/j.jneuroim.2021.577760