首页> 美国卫生研究院文献>Genetics >Empirical Evaluation Reveals Best Fit of a Logistic Mutation Model for Human Y-Chromosomal Microsatellites
【2h】

Empirical Evaluation Reveals Best Fit of a Logistic Mutation Model for Human Y-Chromosomal Microsatellites

机译:经验评估显示人类Y染色体微卫星的逻辑突变模型的最佳拟合。

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

The rate of microsatellite mutation is dependent upon both the allele length and the repeat motif, but the exact nature of this relationship is still unknown. We analyzed data on the inheritance of human Y-chromosomal microsatellites in father–son duos, taken from 24 published reports and comprising 15,285 directly observable meioses. At the six microsatellites analyzed (DYS19, DYS389I, DYS390, DYS391, DYS392, and DYS393), a total of 162 mutations were observed. For each locus, we employed a maximum-likelihood approach to evaluate one of several single-step mutation models on the basis of the data. For five of the six loci considered, a novel logistic mutation model was found to provide the best fit according to Akaike’s information criterion. This implies that the mutation probability at the loci increases (nonlinearly) with allele length at a rate that differs between upward and downward mutations. For DYS392, the best fit was provided by a linear model in which upward and downward mutation probabilities increase equally with allele length. This is the first study to empirically compare different microsatellite mutation models in a locus-specific fashion.
机译:微卫星突变的速率取决于等位基因长度和重复基序,但是这种关系的确切性质仍然未知。我们分析了父子二人中人类Y染色体微卫星遗传的数据,该数据取自24篇公开报告,包括15285个直接可观察到的基因组。在分析的六个微卫星(DYS19,DYS389I,DYS390,DYS391,DYS392和DYS393)上,总共观察到162个突变。对于每个基因座,我们根据数据采用最大似然法来评估几个单步突变模型之一。对于所考虑的六个基因座中的五个,根据Akaike的信息标准,发现了一种新的逻辑突变模型可以提供最佳拟合。这意味着基因座处的突变概率随等位基因长度的增加(非线性)增加,且在向上和向下突变之间有所不同。对于DYS392,线性模型提供了最佳拟合,其中向上和向下突变概率随等位基因长度的增加而相等。这是第一项以基因座特异性方式经验比较不同微卫星突变模型的研究。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号