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数量性状的多点寡基因连锁分析。

Multipoint oligogenic linkage analysis of quantitative traits.

作者信息

Blangero J, Almasy L

机构信息

Department of Genetics, Southwest Foundation for Biomedical Research, San Antonio, TX 78245-0549, USA.

出版信息

Genet Epidemiol. 1997;14(6):959-64. doi: 10.1002/(SICI)1098-2272(1997)14:6<959::AID-GEPI66>3.0.CO;2-K.

DOI:10.1002/(SICI)1098-2272(1997)14:6<959::AID-GEPI66>3.0.CO;2-K
PMID:9433607
Abstract

We present an overview of pedigree-based variance component linkage methods and discuss their extension to oligogenic inheritance. As an example, oligogenic linkage analyses were performed using the quantitative trait Q4 from the GAW10 simulated data set. A strategy involving sequential oligogenic analyses was found to have increased power to detect the three quantitative trait loci (QTL) influencing Q4 when compared to the classical marginal approach of requiring each locus to have a lod score > or = 3. However, it is shown that requiring conditional lod scores > or = 3 in the sequential analyses may be overly conservative and alternative criteria for the acceptance of multilocus models are discussed.

摘要

我们概述了基于家系的方差成分连锁分析方法,并讨论了这些方法向寡基因遗传的扩展。作为一个例子,我们使用GAW10模拟数据集的数量性状Q4进行了寡基因连锁分析。与要求每个位点的对数优势比分值大于或等于3的经典边际方法相比,发现一种涉及顺序寡基因分析的策略在检测影响Q4的三个数量性状基因座(QTL)时具有更高的效能。然而,研究表明,在顺序分析中要求条件对数优势比分值大于或等于3可能过于保守,并讨论了接受多位点模型的替代标准。

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