Rajabli, FaridGoktas, UnalInan, Gul2025-10-242025-10-2420131545-59631557-9964https://doi.org/10.1109/TCBB.2013.85https://hdl.handle.net/20.500.12899/3595In 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.eninfo:eu-repo/semantics/openAccessAlgorithm design and analysis; biology and genetics; knowledge and data engineering tools and techniques; probabilistic algorithmsArticle10.1109/TCBB.2013.8510410711075243343982-s2.0-84890445305Q1WOS:000328640700022Q1