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

Date

2013-07-01

Author

Rajabli, Farid
Goktas, Unal
İnan, Gül

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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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

Subject Keywords

Algorithm design and analysis, Biology and genetics, Knowledge and data engineering tools and techniques, Probabilistic algorithms

URI

https://hdl.handle.net/11511/52258

Journal

IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS

DOI

https://doi.org/10.1109/tcbb.2013.85

Collections

Department of Statistics, Article

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Citation Formats

F. Rajabli, U. Goktas, and G. İnan, “Application of Dempster-Schafer Method in Family-Based Association Studies,” IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS, pp. 1071–1075, 2013, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/52258.