Comparative analysis of 3 candidate genes in Type 2 diabetes for various species

Author

Dragan, Monica-Andreea ; Dan Cristea, Paul

Author_Institution

Comput. Sci. Dept., Univ. Politeh. of Bucharest, Bucharest, Romania

fYear

2013

fDate

7-9 July 2013

Firstpage

117

Lastpage

120

Abstract

This paper presents a comparative analysis of several genes associated with high risk of Type 2 Diabetes (TCF7L2, KCNJ11, PPARG) from various species. We used Nucleotide Genomic Signal (NuGS) for visual representation and rough comparison of the genes. For a more detailed analysis we built a phylogenetic tree and computed a statistical model by position-specific scoring matrix (PSSM) for each candidate gene. The result of the study may identify novel mutations involved in the pathology of Type 2 Diabetes by statistically analyzing mutually shared associations.

Keywords

diseases; genetics; medical computing; statistical analysis; KCNJ11; NuGS; Nucleotide Genomic Signal; PPARG; PSSM; TCF7L2; Type 2 Diabetes; candidate genes; gene rough comparison; mutations; mutually shared associations; pathology; phylogenetic tree; position-specific scoring matrix; statistical analysis; statistical model; visual representation; Bioinformatics; Diabetes; Diseases; Genomics; Graphics; Phylogeny; KCNJ11; Nucleotide Genomic Signal; PPARG; PSSM; Phylogenetics; Sequence alignment; TCF7L2; Type 2 Diabetes;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Signals and Image Processing (IWSSIP), 2013 20th International Conference on

Conference_Location

Bucharest

ISSN

2157-8672

Print_ISBN

978-1-4799-0941-4

Type

conf

DOI

10.1109/IWSSIP.2013.6623464

Filename

6623464