Amalgamation of Molecular Genetics & Data Mining

Genetic studies have contributed much in establishing the linkage association for genetic disorders and in the identification of defective genes. Similarly over the last few years, Bioinformatics focus on determining motivating relationships in a given data set of biological objects from the plethora of literature related to particular biological problem. The major precursor to most of the metabolic disorders that poses huge burden and economy is Diabetes that is a burning issue of the research. In this book we described the work on linkage analysis to discover new diseased gene location on chromosomal loci which are not reported so far. To determine the linkage to known loci, a minimum of two microsatellite markers each of the candidate regions of these loci are genotyped. To identify genes involved in susceptibility and to discover new genes and mutations, Single Strand Conformation Polymorphism technique is used. In the second phase, the patterns of interest are detected by using the data set of particular biological objects by using APRIORI-SD. The reported genes are then sub grouped on the basis of association among them.