Extended pedigree patterned covariance matrix mixed models for quantitative phenotype analysis
Extended pedigree patterned covariance matrix mixed models for quantitative phenotype analysis
复制标题
用于定量表型分析的扩展谱系模式协方差矩阵混合模型
DOI：
10.1002/gepi.1370090202
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发表时间：
1992
影响因子：
2.1
通讯作者：
G. Vogler
中科院分区：
文献类型：
--
作者：
N. Schork;G. Vogler
为分析大量扩展家系数量性状数据而建立混合模型的公开计算限制，使人们能够可靠地表征和划分由各种来源引起的变异来源，已被证明是难以克服的。本文建议，通过将限制模式协方差矩阵法模拟和划分多基因和环境作用力引起的变异与Elston-Steward型算法方法相结合来模拟具有大表型效应的单个遗传座位引起的变异，可以产生一个直观、高效和可靠的模型。文中还讨论了该方法的扩展和变化，以及为验证该方法的准确性和计算效率而进行的一些仿真和时序研究。©1992 Wiley-Liss，Inc.
Overt computational constraints in the formation of mixed models for the analysis of large extended‐pedigree quantitative trait data which allow one to reliably characterize and partition sources of variation resulting from a variety sources have proven difficult to overcome. The present paper suggests that by combining a restricted patterned covariance matrix approach to modeling and partitioning the variation arising from polygenic and environmental forces with an Elston–Stewart like algorithmic approach to modeling variation resulting from a single genetic locus with large phenotypic effects one can produce a model that is at once intuitively appealing, efficient computationally, and reliable numerically. Extensions and variations of this approach are also discussed, as are some simulation and timing studies carried out in an effort to validate the accuracy and computational efficiency of the proposed methodology. © 1992 Wiley‐Liss, Inc.
用于复杂分离分析的统一模型。
影响因子：
9.8
作者：
Lalouel,JM;Rao,DC;Morton,NE;Elston,RC
通讯作者：
Elston,RC
DOI：
10.1016/0010-4809(82)90064-7
发表时间：
1982-01-01
期刊：
COMPUTERS AND BIOMEDICAL RESEARCH
影响因子：
--
作者：
HASSTEDT, SJ
通讯作者：
HASSTEDT, SJ