ArticleFrontiers in genetics2018
Interpreting Non-coding Genetic Variation in Multiple Sclerosis Genome-Wide Associated Regions.
Article in Frontiers in genetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.
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Who cites it
26 citing papers in PubMed, 38 citations in OpenAlex.
- Emerging roles of circular RNAs and enhancer RNAs: new insights into the development and management of neurodegenerative disorders.Biomarker research · 2026Review
- circRNA/TLR interaction: key players in immune regulation and autoimmune diseases.Naunyn-Schmiedeberg's archives of pharmacology · 2025Review
- Circular RNAs in Immune-Related Diseases.Advances in experimental medicine and biology · 2025Review
- Circular RNAs as disease modifiers of complex neurologic disorders.Frontiers in pharmacology · 2025Review
- Identification of the microglia-associated signature in experimental autoimmune encephalomyelitis.Frontiers in immunology · 2025Article
- Identification ofCells · 2024Article
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- Genetics of ischemic stroke functional outcome.Journal of neurology · 2024Review
- Multiple Sclerosis: Roles of miRNA, lcnRNA, and circRNA and Their Implications in Cellular Pathways.International journal of molecular sciences · 2024Review
- Circular RNAs: A New Approach to Multiple Sclerosis.Biomedicines · 2023Review
- Circular RNA in Multiple Sclerosis: Pathogenicity and Potential Biomarker Development: A Systematic Review.Epigenetics insights · 2023Review
- Evidence for correlations between BMI-associated SNPs and circRNAs.Scientific reports · 2022Article
- Regulation of Non-Coding RNA in the Growth and Development of Skeletal Muscle in Domestic Chickens.Genes · 2022Review
- Emerging Biomarkers of Multiple Sclerosis in the Blood and the CSF: A Focus on Neurofilaments and Therapeutic Considerations.International journal of molecular sciences · 2022Review
- Impact of Diminished Expression of circRNA on Multiple Sclerosis Pathomechanisms.Frontiers in immunology · 2022Article
- Scavenging the hidden impacts of non-coding RNAs in multiple sclerosis.Non-coding RNA research · 2021Article
- Inflammation-Related circRNA Polymorphism and Ischemic Stroke Prognosis.Journal of molecular neuroscience : MN · 2021Article
- Multiple Sclerosis: circRNA Profile Defined Reveals Links to B-Cell Function.Neurology(R) neuroimmunology & neuroinflammation · 2021Article
- The circular RNA circINPP4B acts as a sponge of miR-30a to regulate Th17 cell differentiation during progression of experimental autoimmune encephalomyelitis.Cellular & molecular immunology · 2021Article
- circTAF8 Regulates Myoblast Development and Associated Carcass Traits in Chicken.Frontiers in genetics · 2021Article
Corrections and comments
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Multiple sclerosis (MS) is the most common neurological disorder in young adults. Despite extensive studies, only a fraction of MS heritability has been explained, with association studies focusing primarily on protein-coding genes, essentially for the difficulty of interpreting non-coding features. However, non-coding RNAs (ncRNAs) and functional elements, such as super-enhancers (SE), are crucial regulators of many pathways and cellular mechanisms, and they have been implicated in a growing number of diseases. In this work, we searched for possible enrichments in non-coding elements at MS genome-wide associated loci, with the aim to highlight their possible involvement in the susceptibility to the disease. We first reconstructed the linkage disequilibrium (LD) structure of the Italian population using data of 727,478 single-nucleotide polymorphisms (SNPs) from 1,668 healthy individuals. The genomic coordinates of the obtained LD blocks were intersected with those of the top hits identified in previously published MS genome-wide association studies (GWAS). By a bootstrapping approach, we hence demonstrated a striking enrichment of non-coding elements, especially of circular RNAs (circRNAs) mapping in the 73 LD blocks harboring MS-associated SNPs. In particular, we found a total of 482 circRNAs (annotated in publicly available databases) vs. a mean of 194 ± 65 in the random sets of LD blocks, using 1,000 iterations. As a proof of concept of a possible functional relevance of this observation, we experimentally verified that the expression levels of a circRNA derived from an MS-associated locus, i.e., hsa_circ_0043813 from the
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