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.
Original language | English |
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Article number | 6570482 |
Pages (from-to) | 1071-1075 |
Number of pages | 5 |
Journal | IEEE/ACM Transactions on Computational Biology and Bioinformatics |
Volume | 10 |
Issue number | 4 |
DOIs | |
Publication status | Published - Jul 2013 |
Externally published | Yes |
Keywords
- Algorithm design and analysis
- biology and genetics
- knowledge and data engineering tools and techniques
- probabilistic algorithms