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评估用于估计基因数量的生物计量学方法:1. 样本量的影响。

Evaluation of biometrical methods for estimating the number of genes : 1. Effect of sample size.

机构信息

Crop Development Centre, University of Saskatchewan, S7N 0WO, Saskatoon, Saskatchewan, Canada.

出版信息

Theor Appl Genet. 1985 Mar;69(5-6):553-8. doi: 10.1007/BF00251103.

Abstract

The effect of sample size on estimating the number of genes by the inbred-backcross and genotype assay procedures was investigated. Modifications were proposed for each procedure. Ninety-five percent confidence intervals for estimated numbers of genes and the minimum sample size required to discriminate between various genetic hypotheses were calculated for both procedures. Sample size had a greater impact on the estimation of gene number by the genotype assay procedure than by the inbred-backcross procedure, especially for small sample sizes. For the inbred-backcross procedure, the optimal number of backcrosses varied with the number of genes. Estimates of the number of genes are theoretically less reliable when estimated by the genotype assay procedure than by the inbred-backcross procedure, and are sensitive to the choice of assay generation. Generally, the inbredbackcross procedure is preferred. Even with the fulfillment of all genetic assumptions for each method and absence of error in measuring genotypic values, substantial upward or downward biases in the estimates of the number of genes are expected from both the inbred-backcross and the genotype assay procedures.

摘要

研究了样本量对近交回交和基因型检测程序估算基因数的影响。针对每种程序都提出了改进方法。为两种程序计算了估计基因数的 95%置信区间和区分各种遗传假设所需的最小样本量。对于基因型检测程序,样本量对基因数估计的影响大于近交回交程序,尤其是对于小样本量。对于近交回交程序,回交的最佳次数随基因数而变化。通过基因型检测程序估计的基因数在理论上不如通过近交回交程序可靠,并且对检测世代的选择敏感。一般来说,更倾向于使用近交回交程序。即使两种方法都满足所有遗传假设,并且基因型值的测量没有误差,近交回交和基因型检测程序估计的基因数也会存在较大的向上或向下偏差。

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