The resolution of genotype × environment interaction in segregation analysis of nuclear families
The resolution of genotype × environment interaction in segregation analysis of nuclear families
复制标题
核心家庭分离分析中基因型×环境相互作用的解析
作者：
L. Eaves;D. Rao
提出了一个模型，用于描述一个或两个基因座的影响、环境的测量指数以及不连续性状风险的基因型×环境（G×E）相互作用。针对单基因座情况探索了模型的初始属性，有或没有环境和 G×E 相互作用的影响。模拟了七个数据集，每个数据集包含 500 个核心家庭，对其环境指数进行了测量。使用最大似然估计程序来获得每个数据集的七个模型下的参数估计。构建了似然比检验，并且在所有情况下都可以识别模拟数据的“正确”模型。实现的信息矩阵表明，可以以可接受的精度估计参数，并且可以在模拟群体中解决基因、环境和 G×E 相互作用的影响。考虑了忽略环境和G×E对常规偏析分析的影响。
A model is presented for the effects of one or two loci, a measured index of the environment and genotype × environment (G×E) interaction of risk for a discontinuous trait. Initial properties of the model are explored for the single locus case, with and without the effects of environment and G×E interaction. Seven data sets were simulated, each comprising 500 nuclear families on whom an environmental index has been measured. Maximum‐likelihood estimation procedures were used to obtain parameter estimates under seven models for each data set. Likelihood ratio tests were constructed, and in all cases it was possible to identify the “correct” model for the simulated data. The matrices of information realized showed that the parameters could be estimated with acceptable precision and that the effects of genes, environment, and G×E interaction could be resolved in the simulated populations. The effects on conventional segregation analysis of ignoring the environment and G×E are considered.
影响因子：
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作者：
C. Robert Cloninger;S. Sigvardsson;M. Bohman;A. V. von Knorring
通讯作者：
C. Robert Cloninger;S. Sigvardsson;M. Bohman;A. V. von Knorring
用于确定数量性状遗传模式的结构化探索性数据分析（SEDA）。
影响因子：
9.8
作者：
Karlin,S;Williams,PT;Carmelli,D
通讯作者：
Carmelli,D