期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2011
卷号：27
期号：1
出版社：Journal of Theoretical and Applied
摘要：Diabetes mellitus, simply referred to as diabetes, is a group of metabolic diseases. There exits more than one type of diabetes, with each type having its own risks. Among the different types, types 1 and 2 are the most common ones. The cause of diabetes depends on the type. In each case, combinations of genetic and environmental influences are responsible for causing diabetes. Type 2 diabetes is primarily due to lifestyle factors and genetics. Microarray analysis is a method for analyzing expression levels of multiple genes at once. This method is especially suitable for identifying and classifying genes whose expression level differs in two samples. The present work focuses on identifying and classifying genes that cause type-II diabetes with two different samples, one with parental history and other without parental history. Mahalanobis Distance, Minimum Co-variance Determinant are the statistical methods used for identifying multivariate and univariate outliers for the identified inflammatory genes, the functional classification is performed by using Gene Ontology and pathway analysis. It is observed that 38 differentially expressed genes were identified out of 39400 genes tested between diabetes with and without parental history.
