Summary-data-based Mendelian randomization prioritizes potential druggable targets for multiple sclerosis.

ABSTRACT: Multiple sclerosis is a complex autoimmune disease caused by a combination of genetic and environmental factors. Translation of Genome-Wide Association Study findings into therapeutics and effective preventive strategies has been limited to date. We used summary-data-based Mendelian randomization to synthesize findings from public expression quantitative trait locus, methylation quantitative trait locus and Multiple Sclerosis Genome-Wide Association Study datasets. By correlating the effects of methylation on multiple sclerosis, methylation on expression and expression on multiple sclerosis susceptibility, we prioritize genetic loci with evidence of influencing multiple sclerosis susceptibility. We overlay these findings onto a list of 'druggable' genes, i.e. genes which are currently, or

SUBMITTER: Jacobs BM 

PROVIDER: S-EPMC7519728 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature