用于连续基因型和环境因素的埃尔森-斯图尔特算法。

The Elston-Stewart algorithm for continuous genotypes and environmental factors.

作者信息

Elston R C, George V T, Severtson F

机构信息

Department of Biometry and Genetics, Louisiana State University Medical Center, New Orleans 70112.

出版信息

Hum Hered. 1992;42(1):16-27. doi: 10.1159/000154043.

DOI:10.1159/000154043

PMID:1555844

Abstract

The Elston-Stewart algorithm for a normally distributed trait under a polygenic model is explained in detail and extended to allow for other continuous environmental variables. This formulation is especially useful for large pedigrees, as it avoids the need to invert matrices. Whereas it may not be feasible by this method to estimate all the various components of previously suggested models for polygenic inheritance, it can allow for a reasonably flexible pedigree correlational structure under which valid tests can be performed for fixed effects that may affect the phenotype.

摘要

详细解释了多基因模型下正态分布性状的埃尔斯顿 - 斯图尔特算法，并进行了扩展以纳入其他连续环境变量。这种公式化方法对于大型家系特别有用，因为它避免了矩阵求逆的需要。虽然用这种方法估计先前提出的多基因遗传模型的所有不同组成部分可能不可行，但它可以允许一个相当灵活的家系相关结构，在此结构下可以对可能影响表型的固定效应进行有效检验。