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Application of Dempster-Schafer Method in Family-Based Association Studies
Date
2013-07-01
Author
Rajabli, Farid
Goktas, Unal
İnan, Gül
Metadata
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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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In experiments designed for family-based association studies, methods such as transmission disequilibrium test (TDT) require large number of trios to identify single nucleotide polymorphisms (SNPs) associated with the disease. However, unavailability of large number of trios is the Achilles' heel of many complex disease studies, especially for the late-onset diseases since parents might have passed away or unavailable. This problem motivated us to look for new approaches that require smaller number of trios...
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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.