• DocumentCode
    60022
  • Title

    Application of Dempster-Schafer Method in Family-Based Association Studies

  • Author

    Rajabli, Farid ; Goktas, Unal ; Inan, Gul

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Turgut Ozal Univ., Ankara, Turkey
  • Volume
    10
  • Issue
    4
  • fYear
    2013
  • fDate
    July-Aug. 2013
  • Firstpage
    1071
  • Lastpage
    1075
  • Abstract
    In experiments designed for family-based association studies, methods such as transmission disequilibrium test require large number of trios to identify single-nucleotide polymorphisms associated with the disease. However, unavailability of a large number of trios is the Achilles´ heel of many complex diseases, especially for late-onset diseases. In this paper, we propose a novel approach to this problem by means of the Dempster-Shafer method. The simulation studies show that the Dempster-Shafer method has a promising overall performance, in identifying single-nucleotide polymorphisms in the correct association class, as it has 90 percent accuracy even with 60 trios.
  • Keywords
    diseases; genetics; molecular biophysics; molecular configurations; statistical analysis; Dempster-Schafer method; complex diseases; disease associated SNP; family based association studies; late onset diseases; single nucleotide polymorphisms; transmission disequilibrium test; Accuracy; Bioinformatics; Computational biology; Diseases; Genetics; IEEE transactions; Mathematical model; Algorithm design and analysis; biology and genetics; knowledge and data engineering tools and techniques; probabilistic algorithms;
  • fLanguage
    English
  • Journal_Title
    Computational Biology and Bioinformatics, IEEE/ACM Transactions on
  • Publisher
    ieee
  • ISSN
    1545-5963
  • Type

    jour

  • DOI
    10.1109/TCBB.2013.85
  • Filename
    6570482