DocumentCode :
534572
Title :
Genome-wide gene-gene interaction analysis of rheumatoid arthritis
Author :
Hua, Lin ; Zheng, Weiying ; Liu, Hong ; Yan, Yan
Author_Institution :
Dept. of Bioinf., Capital Univ. of Med. Sci., Beijing, China
Volume :
5
fYear :
2010
fDate :
16-18 Oct. 2010
Firstpage :
2206
Lastpage :
2209
Abstract :
There is a growing consideration that gene-gene interactions may play important roles in complex diseases etiology. The simultaneous genotyping of hundreds of thousands of single nucleotide polymorphisms (SNP) have provided an excellent chance to study genetic epidemiology from molecular network. In this paper, we performed genome-wide gene-gene interaction associated with rheumatoid arthritis (RA) using RA datasets provided by the Genetic Analysis Workshop 15 (GAW 15) Problem 2. The results reported here that there were 14 significant SNP-SNP pairs associated with RA and the interaction between rs744877 and rs238510 was the strongest SNP-SNP pair contributing to disease with the maximal interaction score defined in our paper.
Keywords :
diseases; genetics; genomics; medical computing; molecular biophysics; polymorphism; Genetic Analysis Workshop 15 Problem 2; complex diseases etiology; disease; genetic epidemiology; genome-wide gene-gene interaction analysis; genotyping; molecular network; rheumatoid arthritis; single nucleotide polymorphisms; Arthritis; Bioinformatics; Diseases; Genomics; Humans; Joints; RA; SNP; gene-gene network;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical Engineering and Informatics (BMEI), 2010 3rd International Conference on
Conference_Location :
Yantai
Print_ISBN :
978-1-4244-6495-1
Type :
conf
DOI :
10.1109/BMEI.2010.5639532
Filename :
5639532
Link To Document :
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