Concurrency of mutations, microsatellites and predicted domains in
kcnq1, kcnh2 and scn5a genes causing long qt syndrome disease |
Allam Appa Rao*, G Venkata Swamy, B L V Vinay Kumar, Ch S U Ravi Kumar |
| Department of Computer Sciences and System Engineering, Andhra University, Visakhapatnam, India |
| *Corresponding author: |
Dr. Allam Appa Rao, Andhra University College of Engineering (Autonomous),
Visakhapatnam-530003, INDIA,
Fax: +91-891-2747969,
Phone: +91-891-2844204,
E-mail: principal@aucevizag.ac.in,
Web: http://aucevizag.ac.in |
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| Received April 20, 2008; Accepted May 15, 2008; Published May 25, 2008 |
| Citation: Allam AR, Swamy GV, Kumar BLVV, Kumar Ch SUR (2008) Concurrency of Mutations, Microsatellites and
Predicted Domains in kcnq1, kcnh2 and scn5a Genes Causing Long qt Syndrome Disease. J Proteomics Bioinform S1: S012-
S016. doi:10.4172/jpb.s1000003 |
| Copyright: ©2008 Allam AR, etal. This is an open-access article distributed under the terms of the Creative Commons
Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author
and source are credited. |
| Abstract |
Bioinformatics is the field of science in which biology, computer science, and information technology merge to form a single
discipline. The revolutionary growth in the computation speed and memory storage capability has fueled a new era in the
analysis of biological data. The ultimate goal of the field is to enable the discovery of new biological insights as well as to create
a global perspective from which unifying principles in biology can be discerned. Bioinformatics, also known as genomics, computational
genomics, or computational molecular biology is a rate.We have used the analogy of genome analysis and VIRUS
(vital information recourse under siege) and analyzed KCNQ1, KCNH2 and SCN5A genes, which are playing an important role
in LQTS disease. We tried to find out whether the presence of microsatellites or simple sequence repeats in the KCNQ1, KCNH2
and SCN5A genes, are having any significance in the generation of these mutations and checked whether these mutations are
fallen in the regions of those microsatillites and if so, is there any significance of these microsatillites in the functional domains of
the each gene?.Our analysis revealed that 24 of the 26 mutations of the KCNQ1 gene, 19 of the 21 mutations of the KCNH2 gene
and 3 of the 7 mutations of the SCN5A gene, which are existing in the microsatellite regions are fallen in the domain regions of
the respective genes and thus indicating a positive role of microsatellites in mutagenesis. |
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