Multiple sclerosis risk variants regulate gene expression in innate and adaptive immune cells
Details
Publication Year 2020-07, Volume 3, Issue #7, Page e202000650
Journal Title
Life Science Alliance
Abstract
At least 200 single-nucleotide polymorphisms (SNPs) are associated with multiple sclerosis (MS) risk. A key function that could mediate SNP-encoded MS risk is their regulatory effects on gene expression. We performed microarrays using RNA extracted from purified immune cell types from 73 untreated MS cases and 97 healthy controls and then performed Cis expression quantitative trait loci mapping studies using additive linear models. We describe MS risk expression quantitative trait loci associations for 129 distinct genes. By extending these models to include an interaction term between genotype and phenotype, we identify MS risk SNPs with opposing effects on gene expression in cases compared with controls, namely, rs2256814 MYT1 in CD4 cells (q = 0.05) and rs12087340 RF00136 in monocyte cells (q = 0.04). The rs703842 SNP was also associated with a differential effect size on the expression of the METTL21B gene in CD8 cells of MS cases relative to controls (q = 0.03). Our study provides a detailed map of MS risk loci that function by regulating gene expression in cell types relevant to MS.
Keywords
*Adaptive Immunity/genetics; Alleles; Case-Control Studies; Gene Expression; *Genetic Predisposition to Disease; *Genetic Variation; Genome-Wide Association Study; Genotype; Humans; *Immunity, Innate/genetics; Multiple Sclerosis/*etiology/metabolism/pathology; Polymorphism, Single Nucleotide; Quantitative Trait Loci; Quantitative Trait, Heritable; Risk Assessment; Risk Factors
WEHI Research Division(s)
Population Health And Immunity; Bioinformatics
PubMed ID
32518073
Open Access at Publisher's Site
https://doi.org/10.26508/lsa.202000650
Rights Notice
Refer to copyright notice on published article.


Creation Date: 2021-07-20 11:18:05
Last Modified: 2021-07-20 11:56:09
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