RT Journal Article
SR Electronic
T1 <em>In silico</em> analysis of coding SNPs and 3′-UTR associated miRNAs in <em>DCAF17</em> gene that may affect the regulation and pathogenesis of Woodhouse-Sakati Syndrome
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 601310
DO 10.1101/601310
A1 Abdelrahman H. Abdelmoneim
A1 Asia M. Elrashied
A1 Alaa I. Mohammed
A1 Sara A. Mirghani
A1 Rania E. Osman
A1 Esraa O. Gadim
A1 Mohamed A. Salih
YR 2019
UL http://biorxiv.org/content/early/2019/04/07/601310.abstract
AB Background Woodhouse-Sakati Syndrome refers to a group of inherited disorders characterized by alopecia, hypogonadism, diabetes mellitus, hypothyroidism and progressive extrapyramidal signs. The aim of this study is to identify the pathogenic SNPs in the DCAF17 gene with their related mciroRNAs and their effect on the structure and function of the protein.Material and Methods We used different bioinformatics tools to predict the effect of each SNP on the structure and function of the protein. After that we defined the miRNAs founded in the 3′-UTR region on the DCAF17 gene and studied the annotations relative to it.Results Ten deleterious SNPs out of 339 were found to have a damaging effect on the protein structure and function, with one significant micoRNA in the 3′-UTR region.Conclusion This was the first in silico analysis of DCAF17 gene, in which 10 novel mutations were found using different bioinformatics tools that could be used as a diagnostic markers for Woodhouse-Sakati syndrome, with one relevant microRNA that can regulate the function of the protein.