Title :
The Application of Apriori-Gen Algorithm in the Association Study in Type 2 Diabetes
Author :
Mao, Weidong ; Mao, Jinghe
Author_Institution :
Dept. of Math. & Comput. Sci., Virginia State Univ., Petersburg, VA, USA
Abstract :
Study shows type 2 diabetes is a genetic disease and evidence of a statistical interaction among several SNPs has been reported. Gene-gene interaction analysis has been used to identify common disease susceptibility genes. This paper explores the application of Apriori-Gen algorithm on the association study among SNPs. The algorithm has been applied to SNP data of type 2 diabetes for association study. The result shows the interaction among 5 SNPs with support s of 50% and confidence alpha of 60%. The risk rate RR and odds ratio OR are 2.14 and 2.92, respectively. The experiment results indicate that the interaction among those SNPs is associated with the disease.
Keywords :
diseases; genetic algorithms; genetics; medical computing; risk analysis; statistical analysis; Apriori-Gen algorithm; SNP; association rule; gene-gene interaction analysis; genetic disease susceptibility; risk rate; statistical interaction; type 2 diabetes; Bioinformatics; Blood; Cells (biology); DNA; Diabetes; Diseases; Genetics; Genomics; Insulin; Sugar;
Conference_Titel :
Bioinformatics and Biomedical Engineering , 2009. ICBBE 2009. 3rd International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-2901-1
Electronic_ISBN :
978-1-4244-2902-8
DOI :
10.1109/ICBBE.2009.5163574
