A First-Stage Approximation to Identify New Imprinted Genes through Sequence Analysis of Its Coding Regions. (5th March 2009)

• Record Type: Journal Article
• Authors: Daura-Oller, Elias; Cabré, Maria; Montero, Miguel A.; Paternáin, José L.; Romeu, Antoni
• Other Names: Pesole Graziano Academic Editor.
• Is Part Of: Comparative and functional genomics. Volume 2009(2009)
• Publication Date: 2009-03-05
• Subjects: Genomics -- Periodicals; Genomes -- Periodicals; Cytogenetics -- Periodicals; 572.86
• DOI: 10.1155/2009/549387
• Languages: English
• ISSNs: 1531-6912

Abstract

Abstract : In the present study, a positive training set of 30 known human imprinted gene coding regions are compared with a set of 72 randomly sampled human nonimprinted gene coding regions (negative training set) to identify genomic features common to human imprinted genes. The most important feature of the present work is its ability to use multivariate analysis to look at variation, at coding region DNA level, among imprinted and non-imprinted genes. There is a force affecting genomic parameters that appears through the use of the appropriate multivariate methods (principle components analysis (PCA) and quadratic discriminant analysis (QDA) to analyse quantitative genomic data. We show that variables, such as CG content, [bp]% CpG islands, [bp]% Large Tandem Repeats, and [bp]% Simple Repeats, are able to distinguish coding regions of human imprinted genes.