Issue No. 04 - July-Aug. (2013 vol. 10)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/TCBB.2013.85
Farid Rajabli , Dept. of Electr. & Electron. Eng., Turgut Ozal Univ., Ankara, Turkey
Unal Goktas , Dept. of Comput. Eng., Turgut Ozal Univ., Ankara, Turkey
Gul Inan , Dept. of Stat., Middle East Tech. Univ., Ankara, Turkey
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.
Diseases, Accuracy, Bioinformatics, Genetics, Mathematical model, IEEE transactions, Computational biology
F. Rajabli, U. Goktas and G. Inan, "Application of Dempster-Schafer Method in Family-Based Association Studies," in IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol. 10, no. 4, pp. 1071-1075, 2013.