• 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