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用于检测复杂性状基因座的方差分量法。

Variance component methods for detecting complex trait loci.

作者信息

Blangero J, Williams J T, Almasy L

机构信息

Department of Genetics, Southwest Foundation for Biomedical Research, San Antonio, Texas 78245, USA.

出版信息

Adv Genet. 2001;42:151-81. doi: 10.1016/s0065-2660(01)42021-9.

Abstract

Variance component-based linkage analysis has become a major statistical tool for the localization and evaluation of quantitative trait loci influencing complex phenotypes. The variance component approach has many benefits--it can, for example, be used to analyze large pedigrees, and it is able to accommodate multiple loci simultaneously in a true oligogenic model. Important biological phenomena such as genotype-environment interaction and epistasis are also examined easily in a variance component framework. In this chapter, we review the basic statistical features of variance component linkage analysis, with an emphasis on its power and robustness to distributional violations.

摘要

基于方差成分的连锁分析已成为定位和评估影响复杂表型的数量性状基因座的主要统计工具。方差成分法有许多优点——例如,它可用于分析大型家系,并且能够在真正的寡基因模型中同时考虑多个基因座。诸如基因型-环境相互作用和上位性等重要生物学现象也能在方差成分框架中轻松进行研究。在本章中,我们回顾方差成分连锁分析的基本统计特征,重点关注其功效以及对分布违背情况的稳健性。

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