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
Link To Document :
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