Institute of Zoology, Zoological Society of London, London NW1 4RY, UK.
Mol Ecol. 2010 Nov;19(22):5061-78. doi: 10.1111/j.1365-294X.2010.04865.x. Epub 2010 Oct 21.
Genetic markers are widely used to determine the parentage of individuals in studies of mating systems, reproductive success, dispersals, quantitative genetic parameters and in the management of conservation populations. These markers are, however, imperfect for parentage analyses because of the presence of genotyping errors and undetectable alleles, which may cause incompatible genotypes (mismatches) between parents and offspring and thus result in false exclusions of true parentage. Highly polymorphic markers widely used in parentage analyses, such as microsatellites, are especially prone to genotyping errors. In this investigation, I derived the probabilities of excluding a random (related) individual from parentage and the probabilities of Mendelian-inconsistent errors (mismatches) and Mendelian-consistent errors (which do not cause mismatches) in parent-offspring dyads, when a marker having null alleles, allelic dropouts and false alleles is used in a parentage analysis. These probabilities are useful in evaluating the impact of various types of genotyping errors on the information content of a set of markers in and thus the power of a parentage analysis, in determining the threshold number of genetic mismatches that is appropriate for a parentage exclusion analysis and in estimating the rates of genotyping errors and frequencies of null alleles from observed mismatches between known parent-offspring dyads. These applications are demonstrated by numerical examples using both hypothetical and empirical data sets and discussed in the context of practical parentage exclusion analyses.
遗传标记被广泛用于研究交配系统、繁殖成功、扩散、数量遗传参数以及保护种群管理中的个体亲子关系。然而,由于存在基因分型错误和不可检测的等位基因,这些标记并不完美,因为这些错误和等位基因可能导致亲子之间的基因型不匹配(不匹配),从而导致真正亲子关系的错误排除。在亲子关系分析中广泛使用的高度多态性标记,如微卫星,尤其容易发生基因分型错误。在这项研究中,我推导了当在亲子关系分析中使用具有无效等位基因、等位基因缺失和假等位基因的标记时,亲子对中随机(相关)个体的排除概率以及孟德尔不一致错误(不匹配)和孟德尔一致错误(不匹配)的概率(不会导致不匹配)。这些概率有助于评估各种类型的基因分型错误对一组标记信息含量的影响,从而评估亲子关系分析的效力,确定适合亲子关系排除分析的遗传不匹配数量阈值,并从已知亲子对之间观察到的不匹配中估计基因分型错误的速率和无效等位基因的频率。这些应用通过使用假设和经验数据集的数值示例进行演示,并在实际亲子关系排除分析的背景下进行讨论。