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bioRxiv · 10.1101/552596

In Silico Analysis and Modeling of Novel Pathogenic Single Nucleotide Polymorphisms (SNPs) in Human CD40LG Gene

Abdelmoneim, A. H.·Mustafa, M. I.·Mahmoud, T. A.·Murshed, N. S.·Hassan, M. A.
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Abstract

AbstractO_ST_ABSBackgroundC_ST_ABSThe X-linked hyper-immunoglobulin M syndrome (XHIGM) is a rare, inherited immune deficiency disorder. It is more common in males. Characterized by elevated serum IgM levels and low to undetectable levels of serum IgG, IgA and IgE. Hyper-IgM syndrome is caused by mutations in the CD40LG gene. Located in human Xq26. CD40LG acts as an immune modulator in activated T cells. MethodWe used different bioinformatics tools to predict the effect of each SNP on the structure and function of the protein. Result8 novel SNPs out of 233 were found to have most deleterious effect on the protein structure and function. While modeling of nsSNPs was studied by Project HOPE software. ConclusionBetter understanding of Hyper-IgM syndrome caused by mutations in CD40LG gene was achieved using in silico analysis. This is the first in silico functional analysis of CD40LG gene and 8 novel mutations were found using different bioinformatics tools, and they could be used as diagnostic markers for hyper-IgM syndrome. These 8 novel SNPs may be important candidates for the cause of different types of human diseases by CD40LG gene.

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Abdelmoneim, A. H., Mustafa, M. I., Mahmoud, T. A., Murshed, N. S., Hassan, M. A.. 2019-02-17. In Silico Analysis and Modeling of Novel Pathogenic Single Nucleotide Polymorphisms (SNPs) in Human CD40LG Gene. https://doi.org/10.1101/552596

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