1. Genetic biomarkers in multiple sclerosis: An umbrella review of meta-analyses of observational studies
- Author
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Adelaide Tempest, Sajesh K. Veettil, Mari Kannan Maharajan, Jacob Craig Earl, Surachat Ngorsuraches, and Nathorn Chaiyakunapruk
- Subjects
Genetic Markers ,Observational Studies as Topic ,Multiple Sclerosis ,Neurology ,Meta-Analysis as Topic ,Humans ,Neurology (clinical) ,General Medicine ,Biomarkers - Abstract
Multiple sclerosis (MS) is multifactorial in nature, with both genetic and environmental factors contributing to disease risk. In this umbrella review, we aimed to summarize various non-HLA genes that have been investigated for their association with MS risk in meta-analyses (MAs) of observational studies.Medline, Embase, Epistemonikos, and Cochrane Database of Systematic Reviews were searched for MAs up to July 2021. Evidence of association was ranked according to established criteria as follows: convincing, highly suggestive, suggestive, weak, or not significant.From 1,533 publications, 85 full-text articles were evaluated for eligibility, and 15 articles were selected that described 114 genetic associations. No associations were supported by convincing evidence. One association between the rs2104286 (A vs G contrast) polymorphism of the interleukin 2RA (IL2RA) gene and increased MS susceptibility was initially supported by highly suggestive evidence (OR 1.17; 95% CI 1.10-1.25) but it was downgraded to suggestive in the sensitivity and subgroup analyses. We also found six associations supported by suggestive evidence in the main analysis.The findings of this study imply that the cytokines genes interleukin IL2RA and IL7R may play a role in the development of MS. Data from more and better-designed studies are needed to establish robust evidence.
- Published
- 2021