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M Beurton-Aimar

Publications and source records attributed to M Beurton-Aimar.

2 recordsLinked to original sources

Multipoint linkage analysis using the weighted-pairwise correlation statistic.

The weighted pairwise correlation (WPC) approach provides simple and flexible non-parametric tests for genetic linkage which may be adapted to qualitative, quantitative or age-dependent traits. Although this statistic has often been used with identity-by-state (IBS) information, there is much to gain by using multipoint identity-by-descent (IBD) information. The purpose of this paper is to use the unified multipoint approach of Kruglyak et al. [1996] with the WPC statistic. We used the simulated data of a complex disease proposed in GAW11 (problem 2) to validate this approach and to compare the multipoint WPC to the IBS-WPC and to the multilocus approach using the conventional non-parametric statistics S(pairs) and S(all). The results suggest that the multipoint WPC may be the most powerful approach.

Genetic Linkage↗

WPC test based on randomization for analyzing quantitative traits on simulated pedigrees.

The weighted pairwise correlation (WPC) approach provides simple and flexible tests for genetic linkage which may be adapted to qualitative, quantitative or age-dependent traits. These tests also seem to have good power. However, when working with large pedigrees, a disease susceptibility gene not linked to the marker studied induces correlations of the trait values, leading to inflated type I errors for these tests. We propose here a new approach for inference based on the randomization of the alleles following the Mendelian laws and conditioning on the alleles of the founders. This approach is applied to the analysis of the quantitative traits in a set of simulated pedigrees. The alpha posteriori comparison of the findings to the true model indicates directions for future work.

Aging↗