Variance components/major locus likelihood approximation for quantitative, polychotomous, and multivariate data.
Variance components/major locus likelihood approximation for quantitative, polychotomous, and multivariate data.
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定量、多分类和多变量数据的方差分量/主轨迹似然近似。
DOI：
10.1002/gepi.1370100302
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发表时间：
1993
影响因子：
2.1
通讯作者：
Hasstedt,SJ
中科院分区：
文献类型：
--
作者：
Hasstedt,SJ
王晓明，王晓明，王晓明，等。基于多因子模型的二分型遗传变异研究[j] .中国生物医学工程学报，2000,19(2):1 - 6,2003。族谱分析软件包，第3版。[J]和Demenais [J]， 1991]将算法扩展到包含主基因座。在这里，我将算法扩展到多基因、定量和多变量表型，在模型中添加一个主要基因座，并描述和评估所得到的方差成分/主要基因座模型的近似值的准确性。©1993 Wiley‐Liss, Inc。
Pearson [Philos Trans R Soc Lond[A] 200:1–66, 1903], Mendell and Elston [Biometrics30:41–57, 1974], and Rice et al. [Biometrics35:451–459, 1979] approximated the likelihood of the multifactorial model on a dichotomous phenotype by a procedure of successive univariate computation and conditioning. Hasstedt [Pap: Pedigree Analysis Package, Rev. 3. 1989] and Demenais [Am J Hum Genet49:773–785, 1991] extended the algorithm to include a major locus. Here I extend the algorithm to polychotomous, quantitative, and multivariate phenotypes, add a major locus to the model, and describe and evaluate the accuracy of an approximation of the resulting variance components/major locus model. © 1993 Wiley‐Liss, Inc.