Resultants in genetic linkage analysis

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Resultants in genetic linkage analysis

Statistical models for genetic linkage analysis of k locus diseases are k-dimensional subvarieties of a (3 − 1)-dimensional probability simplex. We determine the algebraic invariants of these models with general characteristics for k = 1, in particular we recover, and generalize, the Hardy-Weinberg curve. For k = 2, the algebraic invariants are presented as determinants of 32 × 32-matrices of l...

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non-parametric methods in genetic linkage analysis

one of the most important goals for researchers in the clinic is to try to find newer and more effective ways to diagnose and cure the diseases. these clinical advances can create new points of view in other sciences and their combination with basic sciences such as statistics can improve these researches. in statistical genetics, linkage analysis is a way of finding the exact locus of a diseas...

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Genetic linkage analysis.

Genetic linkage analysis is a powerful tool to detect the chromosomal location of disease genes. It is based on the observation that genes that reside physically close on a chromosome remain linked during meiosis. For most neurologic diseases for which the underlying biochemical defect was not known, the identification of the chromosomal location of the disease gene was the first step in its ev...

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Genetic Linkage Analysis

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Testing for Homogeneity in Genetic Linkage Analysis

We apply the modified likelihood ratio test to two binomial mixture models arising in genetic linkage analysis. The limiting distribution of the test statistic for both models is shown to be a mixture of chi-squared distributions. A consideration of random family sizes for both models gives similar results. We also explore the power properties under local alternatives. Simulation studies show t...

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ژورنال

عنوان ژورنال: Journal of Symbolic Computation

سال: 2006

ISSN: 0747-7171

DOI: 10.1016/j.jsc.2005.04.012