Journal of Proteomics & Bioinformatics
Open Access
ISSN: 0974-276X
+44 1223 790975
ISSN: 0974-276X
+44 1223 790975
Mohanad Khalid Ali Abdelrahim1,2, Khalid El Khalid1, Mohammed Elamin Faris1, Mohamed A Hassan3,4 and Abbasher M Hussein1, 2
1University of Khartoum, Sudan 2Daoud Research Group, Sudan 3Africa City of Technology, Sudan 4University of Tuebingen, Germany
Posters-Accepted Abstracts: J Proteomics Bioinform
Marfan syndrome is a common autosomal dominant hereditary connective tissue disorder with variable presentations, mutations in FBN1 gene were found to be responsible for Marfan syndrome and other relate connective tissue disorders. SNPs contributes to gene mutations and expression variations justifying phenotypic variations among patients and hence such SNPs would be potential target for identification and analysis which may help in early diagnosis of such life threatening disorder. Computational methods were used on this work focusing on analysis of SNPs in the coding regions of FBN1 gene found as non-synonymous variants (ns- SNP) and those in the 3ΓΆΒ?Β?un-translated regions (3ΓΆΒ?Β?UTR) affecting miRNA binding using computational methods including SIFT and polyphen for analysis of (nsSNPs) while (3ΓΆΒ?Β?UTR) SNPs was analyzed using PolymiRTS tool functions and Interactions of FBN1 gene with functional similar genes was predicted using gene MANIA software. Out of 1134 ns-SNPs analyzed, 38 SNPs were found to damaging while analysis of 175 SNP in 3ΓΆΒ?Β?UTR prove that 24 SNPs are disturbing to their target sites and 46 SNPs are creating to new target sites. Using the damaging ns-SNPs predicted on this work may be helpful in early diagnosis and on screening of FBN1 related disorders.
Mohanad Khalid Ali Abdelrahim has completed his MBBS from University of Khartoum Faculty of Medicine in April 2015 and started working as teaching assistant at University of Khartoum Department of Human Anatomy on May 2015. He is a student of Master’s of Human Anatomy at faculty of medicine University of Elneelain. He is also member of Daoud Research Group.
Email: mohanadkhalid91@gmail.com