INSILICO ANALYSIS OF A SINGLE NUCLEOTIDE POLYMORPHISM (SNPS) IN HUMAN GSTM1 GENE ASSOCIATED WITH CANCER DEVELOPMENT
Dalia Mursi Abdelhalim, Afra M. Albkrye, Mohammed Ahmed Salih, Amna Elsadig Elsafi Abodlaa, Hind Abdelaziz Elnasri and Mona A. M. Khaier*
ABSTRACT
Background: The gene for Glutathione-S-Transferase (GSTM1), is a member of the GST-superfamily, it encodes enzymes responsible for detoxification of free radicals and other carcinogens. The activity of these enzymes may differ due to polymorphisms which ultimately results in inter-individual susceptibility to cancer development. Aim: This study was carried out to analyse the nsSNPs in the GSTM1 gene, to identify the possible mutations and propose a modelled structure for the mutant protein. Methods: Through the in silico approach, using a combination of SIFT, Poly Phen-2, I-Mutant Suite, SNPs & Go and Project Hope software. Results: Among the 62 nsSNPs, only 21 were found to be deleterious. From these seven SNPs (rs371083091, rs376564748, rs553341658, rs758844606, rs142484086, rs533860247, and rs777299993) were reported to be highly damaging. A modelled structure of the seven highly deleterious and highly damaging mutant proteins were proposed. Conclusions: These results provide useful information in selecting target SNPs that are likely to have an impact on GSTM1 gene activity and contribute to an individual's susceptibility to the disease.
Keywords: GSTM1 gene, In Silico, SIF, Polyphen-2, I-Mutant Suite, SNPs & Go, Project Hope.
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