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单探针多位点DNA指纹杂合性的估计

Estimation of heterozygosity for single-probe multilocus DNA fingerprints.

作者信息

Stephens J C, Gilbert D A, Yuhki N, O'Brien S J

机构信息

Laboratory of Viral Carcinogenesis, Frederick Cancer Research and Development Center, Maryland 21702-1201.

出版信息

Mol Biol Evol. 1992 Jul;9(4):729-43. doi: 10.1093/oxfordjournals.molbev.a040755.

Abstract

In spite of the increasing application of DNA fingerprinting to natural populations and to the genetic identification of humans, explicit methods for estimation of basic population genetic parameters from DNA fingerprinting data have not been developed. Contributing to this omission is the inability to determine, for multilocus fingerprinting probes, relatively important genetic information, such as the number of loci, the number of alleles, and the distribution of these alleles into specific loci. One of the most useful genetic parameters that could be derived from such data would be the average heterozygosity, which has traditionally been employed to measure the level of genetic variation within populations and to compare genetic variation among different loci. We derive here explicit formulas for both the estimation of average heterozygosity at multiple hypervariable loci and a maximum value for this estimate. These estimates are based upon the DNA restriction-pattern matrices that are typical for fingerprinting studies of humans and natural populations. For several empirical data sets from our laboratory, estimates of average and maximal heterozygosity are shown to be relatively close to each other. Furthermore, variances of these statistics based on simulation studies are relatively small. These observations, as well as consideration of the effect of missing alleles and alternate numbers of loci, suggest that the average heterozygosity can be accurately estimated using phenotypic DNA fingerprint patterns, because this parameter is relatively insensitive to the lack of certain genetic information.

摘要

尽管DNA指纹技术在自然种群和人类基因鉴定中的应用日益广泛,但尚未开发出从DNA指纹数据估计基本种群遗传参数的明确方法。造成这种遗漏的原因是,对于多位点指纹探针,无法确定相对重要的遗传信息,如位点数量、等位基因数量以及这些等位基因在特定位点的分布。可以从此类数据中得出的最有用的遗传参数之一是平均杂合度,传统上它被用于衡量种群内的遗传变异水平,并比较不同位点之间的遗传变异。我们在此推导出了多个高变位点平均杂合度估计值以及该估计值最大值的明确公式。这些估计值基于人类和自然种群指纹研究中典型的DNA限制性图谱矩阵。对于我们实验室的几个经验数据集,平均杂合度和最大杂合度的估计值显示彼此相对接近。此外,基于模拟研究的这些统计量的方差相对较小。这些观察结果,以及对缺失等位基因和位点数量变化影响的考虑,表明使用表型DNA指纹图谱可以准确估计平均杂合度,因为该参数对某些遗传信息的缺失相对不敏感。

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