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Network modeling and analysis in health informatics and bioinformatics (Wien), 2020-12, Vol.9 (1), p.48, Article 48
2020
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Autor(en) / Beteiligte
Titel
Multiple sclerosis: an associated single-nucleotide polymorphism study on Egyptian population
Ist Teil von
  • Network modeling and analysis in health informatics and bioinformatics (Wien), 2020-12, Vol.9 (1), p.48, Article 48
Ort / Verlag
Vienna: Springer Vienna
Erscheinungsjahr
2020
Quelle
Alma/SFX Local Collection
Beschreibungen/Notizen
  • Multiple Sclerosis (MS) is an autoimmune disease that severely impacts the central nervous system. Thanks to the evolutionary genetic information studied and published, researches have started to study MS from a genetic perspective. This paper provides a study of six single-nucleotide polymorphisms (SNPs)—MIR137HG (rs1625579), GAS5 (rs2067079), MIR3142HG (rs57095329), MIR146A (rs2910164), MIR155HG (rs767649) and IRAK1 (rs3027898)—and demonstrates their association with MS. This study was applied over an Egyptian dataset of 38 MS patients and 35 controls. Hence, different models were applied, Dominant, Recessive and Genotypic models along with Fisher’s Exact method, Basic case–control analysis and Logistic regression analysis. This paper shows that the SNPs rs1625579, rs57095329, rs767649 and rs3027898 are associated with MS ( p value < 0.05) according to all tested models except for Recessive model, that has add-in the relevance of rs1625579, rs57095329, rs2910164 and rs767649 with MS disease.

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