TITLE:
Comprehensive Analysis of rsSNPs Associated with Hypertension Using In-Silico Bioinformatics Tools
AUTHORS:
Alsadig Gassoum, Nahla E. Abdelraheem, Nehad Elsadig
KEYWORDS:
Hypertension, SNPs, In-Silico
JOURNAL NAME:
Open Access Library Journal,
Vol.3 No.7,
July
29,
2016
ABSTRACT: Genetic epidemiological studies have suggested that several genetic
variants increase the risk for hypertension.
It is likely that a number of genes rather than a single gene account for
the heritability of this complex disorder. However, the genetic analysis of
hypertension produced complex, inconsistent
and nonreproducible results, which makes it difficult to draw conclusions
about the association between specific genes
and hypertension. Material and methods: In this study, we aimed to analyze SNPs that had been investigated in
hypertension. These SNPs were collected from text-mind hypertension, obesity
and diabetic (T-HOD) data base program, during the period of 31 may 2016. SNPs lists which were reported
with hypertension were collected in excel file sheet and processed for analysis using different types of
bioinformatics tools and programs. Results: SNPs were evaluated for
their deleterious effect on the protein function and stability, in the present study, 7 SNPs were predicted deleterious
(A288S, M731T, R172C, R50Q, G460W, K197N, G75V). Mutation3D server showed 3 of mutations (STEA4, PLD2,
AZIN2, rs28933400, rs2286672, rs16835244
genes and corresponding rsSNPs respectively) were found to increase risk
to hypertension.