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Multiple regression analysis of sib-pair data on reading to detect quantitative trait loci

✍ Scribed by D. W. Fulker; L. R. Cardon; J. C. Defries; W. J. Kimberling; B. F. Pennington; S. D. Smith

Publisher: Springer Netherlands
Year: 1991
Tongue: English
Weight: 736 KB
Volume: 3
Category: Article
ISSN: 0922-4777
DOI: 10.1007/bf00354964

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✦ Synopsis

A simple extension of the DeFries and Fulker multiple regression model for twin analysis is applied to the problem of detecting linkage in a quantitative trait. The method, employing sib pairs, is based on that of Haseman and Elston. Reading data from 19 extended pedigrees were analyzed employing RLFPs as markers on chromosome 15 and using the widely available statistical applications software package, SAS. A number of possible linkages were detected, indicating that this approach is both powerful and effective, especially in the case of selected samples. Detecting genotype-environment interaction and the issue of power are briefly discussed. The programs used are available upon request.

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Power and robustness of a score test for linkage analysis of quantitative traits using identity by descent data on sib pairs

✍ Darlene R. Goldstein; Sandrine Dudoit; Terence P. Speed 📂 Article 📅 2001 🏛 John Wiley and Sons 🌐 English ⚖ 137 KB 👁 2 views

## Abstract Identification of genes involved in complex traits by traditional (lod score) linkage analysis is difficult due to many complicating factors. An unfortunate drawback of non‐parametric procedures in general, though, is their low power to detect genetic effects. Recently, Dudoit and Speed