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- W2157989889 abstract "Rapid research progress in genotyping techniques have allowed large genomewide disease association studies. Existing methods often focus on determining associations between single loci and the disease. However, most diseases involve complex relationships between multiple loci an the environment. Here we describe a method for flnding interacting loci by combining the traditionally used single-locus search with a search for multiway interactions on contingency tables. First, we develop an extended Fisher’s exact test for multidimensional contingency tables. To do so, we introduce toric ideals and construct a Markov chain on the space of multidimensional contingency tables with flxed margins. Second, we test our methods on simulated data, showing that we can detect interacting loci where single locus methods fail to do so." @default.
- W2157989889 created "2016-06-24" @default.
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- W2157989889 date "2008-01-01" @default.
- W2157989889 modified "2023-09-27" @default.
- W2157989889 title "A Strategy for Detecting Multiple Trait Loci in Disease Association Studies" @default.
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