一种利用标记信息和多个数量性状分析同胞协方差结构的多变量模型。
A multivariate model for the analysis of sibship covariance structure using marker information and multiple quantitative traits.
作者信息
Vogler G P, Tang W, Nelson T L, Hofer S M, Grant J D, Tarantino L M, Fernandez J R
机构信息
Department of Biobehavioral Health, Pennsylvania State University, University Park 16802, USA.
出版信息
Genet Epidemiol. 1997;14(6):921-6. doi: 10.1002/(SICI)1098-2272(1997)14:6<921::AID-GEPI60>3.0.CO;2-N.
A model was developed to detect effects of quantitative trait loci (QTLs) in sibships from simulated nuclear family data using the full covariance structure of the data and analyzing all five quantitative traits simultaneously in a multivariate model. Evidence of the presence of loci was detected on chromosomes 4, 8, 9, and 10. The method provided stable results and is worth further exploration for its performance and optimal sample size requirements under realistic conditions.
利用模拟核心家系数据的完整协方差结构，开发了一种模型，用于检测同胞对中数量性状位点（QTL）的效应，并在多变量模型中同时分析所有五个数量性状。在4号、8号、9号和10号染色体上检测到了基因座存在的证据。该方法提供了稳定的结果，鉴于其在实际条件下的性能和最佳样本量要求，值得进一步探索。
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