A MIXED-MODEL LIKELIHOOD APPROXIMATION ON LARGE PEDIGREES
A MIXED-MODEL LIKELIHOOD APPROXIMATION ON LARGE PEDIGREES
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DOI：
10.1016/0010-4809(82)90064-7
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发表时间：
1982-01-01
期刊：
影响因子：
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通讯作者：
HASSTEDT, SJ
中科院分区：
文献类型：
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作者：
HASSTEDT, SJ
混合模型是主基因和多基因的独立组合。提出了一种定量数据混合模型似然的近似方法。近似的对数似然和最大似然估计被证明是非常接近的确切值。这种方法所需的计算机时间与计算主基因模型的可能性相当，从而使大谱系的分析变得实用。主效基因组分可被建模为具有多于1个基因座、多于2个等位基因或连锁标记基因座。
The mixed model is an independent combination of major loci and polygenes. A method of approximating the likelihood of the mixed model on quantitative data is presented. The approximated log likelihood and maximum likelihood estimates are demonstrated to be very close to the exact values. The computer time needed for this method is comparable to that for computation of the likelihood of a major gene model, making analysis of large pedigrees practical. The major gene component may be modeled to have more than 1 locus, more than 2 alleles, or a linked marker locus.