2022
DOI: 10.1016/j.jneuroim.2021.577760
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Burden of rare coding variants in an Italian cohort of familial multiple sclerosis

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Cited by 4 publications
(3 citation statements)
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“…However recent mapping of established MS susceptibility genes onto multiple single cell RNA sequencing datasets from MS brain tissue, has revealed enrichment of MS-susceptibility genes in astrocytes, vascular cells and excitatory neurons (Absinta et al, 2021). Additionally, family-based studies and a novel machine learning approach implicate variants in CNS related genes in affecting MS susceptibility and progression, respectively (Fazia et al, 2021;Jokubaitis et al, 2022;Mascia et al, 2022). This supports the idea that cells of the CNS, not only immune cells, are involved in MS development.…”
Section: Are Brain Cells Intrinsically Different Between People With ...mentioning
confidence: 62%
“…However recent mapping of established MS susceptibility genes onto multiple single cell RNA sequencing datasets from MS brain tissue, has revealed enrichment of MS-susceptibility genes in astrocytes, vascular cells and excitatory neurons (Absinta et al, 2021). Additionally, family-based studies and a novel machine learning approach implicate variants in CNS related genes in affecting MS susceptibility and progression, respectively (Fazia et al, 2021;Jokubaitis et al, 2022;Mascia et al, 2022). This supports the idea that cells of the CNS, not only immune cells, are involved in MS development.…”
Section: Are Brain Cells Intrinsically Different Between People With ...mentioning
confidence: 62%
“…To assess the aggregate contribution of multiple rare genes in the disease processes studied, the authors performed burden testing analysis using high confidence variants and potentially pathogenic variants based on MAF or protein-prediction algorithms. Variants were identified by literature driven review in multiple sclerosis as other, more rare disorders, did not have sufficient genetic investigation to warrant phenotype/ genotype differentiation [11][12][13]. Variants meeting criteria were considered qualifying variants and were applied in Test Rare vAriants with Public Data (TRAPD) [14] as a pathogenicity filter and subsequently analyzed against the gnomeAD database.…”
Section: Burden Test Analysismentioning
confidence: 99%
“…Such a phenomenon can be explained in different ways, including a poor representation of rare variants in typed arrays, epigenetic mechanisms and interaction between genetic and environmental factors, whose role can be better explored in family-based studies that offer a privileged setting of higher prevalence of the disease. This strategy allowed the identification of several rare variants with a possible role in MS susceptibility [ 5 , 6 , 7 , 8 , 9 , 10 , 11 , 12 , 13 , 14 , 15 , 16 , 17 , 18 , 19 , 20 , 21 ], and several genes were implicated, such as TYK2 [ 15 ], also confirmed in sporadic case [ 4 ], UBR2 and DST [ 11 ], and more recently, among others, MBP, MECP2, and CPT1A [ 13 ].…”
Section: Introductionmentioning
confidence: 99%