4.8 Article

Proximal and distal effects of genetic susceptibility to multiple sclerosis on the T cell epigenome

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NATURE COMMUNICATIONS
卷 12, 期 1, 页码 -

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NATURE PORTFOLIO
DOI: 10.1038/s41467-021-27427-w

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  1. Massachusetts Life Sciences Center

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By establishing a genome-wide map of DNA methylation quantitative trait loci in CD4(+) T-cells from multiple sclerosis patients, this study identified key loci where the same haplotype influences both multiple sclerosis susceptibility and local DNA methylation. Additionally, the study revealed distant methylation effects of multiple sclerosis susceptibility loci, shedding light on new gene targets for investigating predisposition to the disease. Integration of functional data with GWAS loci helped interpret genetic variants associated with multiple sclerosis.
Identifying the effects of genetic variation on the epigenome in disease-relevant cell types can help advance our understanding of the first molecular contributions of genetic susceptibility to disease onset. Here, we establish a genome-wide map of DNA methylation quantitative trait loci in CD4(+) T-cells isolated from multiple sclerosis patients. Utilizing this map in a colocalization analysis, we identify 19 loci where the same haplotype drives both multiple sclerosis susceptibility and local DNA methylation. We also identify two distant methylation effects of multiple sclerosis susceptibility loci: a chromosome 16 locus affects PRDM8 methylation (a chromosome 4 region not previously associated with multiple sclerosis), and the aggregate effect of multiple sclerosis-associated variants in the major histocompatibility complex influences DNA methylation near PRKCA (chromosome 17). Overall, we present a new resource for a key cell type in inflammatory disease research and uncover new gene targets for the study of predisposition to multiple sclerosis. Integrating functional data with GWAS loci can help interpret the function of genetic variants associated with disease. Here the authors map cis and trans methylation QTL in CD4 + T cells from patients and colocalize with GWAS loci in order to interpret genetic variants associated with multiple sclerosis.

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