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Robust genetic linkage analysis based on a score test of homogeneity: The weighted pairwise correlation statistic

✍ Scribed by D. Commenges


Publisher
John Wiley and Sons
Year
1994
Tongue
English
Weight
589 KB
Volume
11
Category
Article
ISSN
0741-0395

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✦ Synopsis


Abstract

In testing genetic linkage using large or complex pedigrees, robust methods may be preferred to the Lod‐score method. The affected‐pedigree‐member method is robust but does not use the information available in nonaffected subjects, which results in a loss of power. We propose a new test of genetic linkage based on a score test of homogeneity derived from a random effect model. The statistic is simple and uses only pairs of subjects. In contrast with the affected‐pedigree‐method, it uses all the available pairs and does not depend on the marker alleles frequencies. A rank version of this weighted pairwise correlation statistic is proposed, its exact first and second moment derived. We show that for age‐dependent diseases, it provides a simple nonparametric test. © 1994 Wiley‐Liss, Inc.


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Improving the robustness of the weighted
✍ Daniel Commenges; Laurent Abel 📂 Article 📅 1996 🏛 John Wiley and Sons 🌐 English ⚖ 854 KB

The weighted pairwise correlation (WPC) approach provides simple and flexible tests for genetic linkage which may be adapted to qualitative, quantitative, or agedependent traits. These tests also seem to have good power. However, when working with large pedigrees, a disease susceptibility gene not l