Application of dempster-schafer method in family-based association studies

Farid Rajabli; Unal Goktas; Gul Inan

doi:10.1109/TCBB.2013.85

Application of dempster-schafer method in family-based association studies

Farid Rajabli, Unal Goktas, Gul Inan

Research output: Contribution to journal › Article › peer-review

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

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10.1109/TCBB.2013.85

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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.",

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author = "Farid Rajabli and Unal Goktas and Gul Inan",

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AB - 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.

KW - Algorithm design and analysis

KW - biology and genetics

KW - knowledge and data engineering tools and techniques

KW - probabilistic algorithms

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JF - IEEE/ACM Transactions on Computational Biology and Bioinformatics

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ER -

Application of dempster-schafer method in family-based association studies

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Keywords

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