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Titlebook: Computational Methods for SNPs and Haplotype Inference; DIMACS/RECOMB Satell Sorin Istrail,Michael Waterman,Andrew Clark Conference proceed

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Simulating a Coalescent Process with Recombination and Ascertainmentr, or more prevalent, disease mutations, as expected. The marker polymorphism cutoff level also has an important influence on LD. Potential applications of the method for predicting the power of genome-wide marker-disease association studies are discussed.
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https://doi.org/10.1007/978-3-662-54937-7 considerations. Extensions of the algorithms for analysis of genotype data from unrelated individuals as well as genotype data from general pedigrees are considered. Finally, we discuss the implications of haplotype blocks and tag SNPs in association studies to search for complex disease genes.
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Otto Ernst Kempen,Gotlind Ulshöferdition to the pairwise association terms of the single marker tests, marker haplotype associations depend on the weighted sum of multi-locus disequilibria and genotypic susceptibilities. Several tests of haplotype association are presented here, along with a comparison of these tests within different LD contexts.
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Trisomic Phase Inference21 confounded. A variety of methods including EM and Bayesian analysis have provided useful solutions for haplotype phasing of disomic genotypes. Here we provide an extension to the Bayesian approach for inferring linkage phase in trisomic samples.
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An Overview of Combinatorial Methods for Haplotype Inference2002. It reviews several combinatorial approaches to the haplotype inference problem that we have investigated over the last several years. In addition, it updates some of the work presented earlier, and discusses the current state of our work.
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