Data Mining Analysis of ESCO2 Gene Single Nucleotide Polymorphisms Associated with Roberts’s Syndrome

Abstract

Roberts’s syndrome is a genetic disorder characterized by limb and facial abnormalities. Affected individuals also grow slowly before and after birth. This syndrome is associated with ESCO2 (Establishment of Sister Chromatid cohesion N- acetyltransferase 2) gene mutations. SNPs in the coding region (exonal SNPs) that are non-synonymous (nsSNPs), the SNPs and related ensembles protein (ESNP) were obtained from the SNPs database (dbSNP) for computational analysis. Bioinformatics analysis of ESCO2 exonal non-synonymous SNPs initiated by GeneMANIA, SIFT, Polyphen-2, PHD, SNP&GO, Provean and ProjctHope. There were 85 nsSNPs, they had been submitted to SIFT software to predict the tolerant and intolerant SNPs, they had been sorted to 65 Tolerated SNPs and 20 Deleterious SNPs. SIFT deleterious SNPs had been tested by polyphen-2 software and the result was 3 benign SNPs, 3 possibly damaging and 14 probably damaging SNPs. The same 20 SNPs were tested using SNP&GO software and gave the same result for PHD and SNP&GO (4 diseased and 16 neutral) and the result obtained when using Provean software was 12 SNPs were neutral while only 8 SNPs were deleterious. The total nsSNPs affecting the structure, function and causing disease in the tested software were 4 nsSNPs (rs80359868, rs146312522, rs200548692, rs373708669) Protein structural analysis was done using all of CPH server, Raptor X, Project HOPE and chimera for the 4 pathological SNPs (W539, C392Y, R427C and D403V) resulted in all function prediction software. and, these results are at use for further researches and studies on this gene and it`s mutations.