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

作者：Rajabli Farid^*; Goktas Unal; Inan Gul

来源：IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2013, 10(4): 1071-1075.

DOI：10.1109/TCBB.2013.85

• Algorithm design and analysis
• biology and genetics
• knowledge and data engineering tools and techniques
• probabilistic algorithms

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%26apos; 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.

• 出版日期2013-8