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Updated: Dec 31, 2025

Describing a Transcription Factor Dependent Regulation of the MicroRNA Transcriptome
Published on: June 15, 2016
Transcript specific regulation of expression influences susceptibility to multiple sclerosis
Maria Ban1, Wenjia Liao2, Amie Baker2
1Department of Clinical Neurosciences, Cambridge Biomedical Campus, University of Cambridge, Box 165, Hills Road, Cambridge, CB2 0QQ, UK. mb531@medschl.cam.ac.uk.
Multiple sclerosis (MS) risk variants may alter gene function by changing the balance of gene transcripts, not just overall expression levels. This finding offers new insights into MS pathogenesis and potential therapeutic targets.
Area of Science:
- Genetics
- Immunology
- Neuroscience
Background:
- Genome-wide association studies (GWAS) have identified over 100 genetic loci associated with multiple sclerosis (MS) risk.
- Most MS-associated loci are in non-coding regulatory regions, suggesting they influence risk by altering gene expression in immune cells.
Purpose of the Study:
- To investigate whether MS-associated variants affect gene expression by modulating allele-specific expression (ASE) of coding variants.
- To explore the mechanism by which genetic variants influence multiple sclerosis risk.
Main Methods:
- Screened genes near MS-associated variants for allele-specific expression (ASE) using coding variants in linkage disequilibrium with MS-associated single nucleotide variants (SNVs).
- Analyzed 200 coding variants in CD4+ and CD8+ T cells from MS patients and controls.
- Replicated findings for the LIME1 gene using quantitative PCR (qPCR).
Main Results:
- Identified 56 coding variants (in 43 genes) with significant ASE in T cells.
- Demonstrated that the MS-associated variant rs2256814 in the LIME1 gene alters the balance of alternate LIME1 transcripts.
- Replicated the effect of rs2256814 on LIME1 transcript balance in an independent cohort.
Conclusions:
- MS-associated SNVs likely influence disease risk by altering the balance of gene transcripts, rather than solely changing overall gene expression levels.
- These findings provide a new mechanistic understanding of how genetic risk factors contribute to multiple sclerosis.
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