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

Farid Rajabli, Unal Goktas, Gul Inan

Research output: Contribution to journalArticlepeer-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 languageEnglish (US)
Article number6570482
Pages (from-to)1071-1075
Number of pages5
JournalIEEE/ACM Transactions on Computational Biology and Bioinformatics
Volume10
Issue number4
DOIs
StatePublished - Jul 2013
Externally publishedYes

Keywords

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

ASJC Scopus subject areas

  • Biotechnology
  • Genetics
  • Applied Mathematics

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