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模拟 Y 染色体单倍型数据。

Simulation of Y-chromosomal haplotype data.

机构信息

Department of Statistics, University of the Western Cape, Cape, South Africa.

出版信息

Math Biosci. 2010 Mar;224(1):24-8. doi: 10.1016/j.mbs.2009.12.002. Epub 2009 Dec 5.

Abstract

The non-recombining nature of the Y-chromosome determines the non-independence of alleles between loci. The evolution of short tandem repeat (STR) loci in the Y-chromosome is the result of different factors such as differential mutation rates, mutation modes, gene conversion, selection and demographic processes. The degree of correlation between loci is dependent on the magnitude of these processes. The simulation of data is a routine tool used for testing hypotheses in population and evolutionary studies. The most basic parameters hitherto used in lineage haplotype simulations are the allele frequency distributions and mutation rates, assuming either full independence or linkage between loci. In this study we introduce use of the Spearman correlation coefficient to estimate the degree of dependence between non-recombining loci. Then, both the interdependence between loci and the allele frequency distributions at multi-allelic loci are incorporated in an algorithm for simulating haplotypes. We illustrate the method using published and unpublished Y-chromosome STR data.

摘要

Y 染色体的非重组性质决定了基因座之间等位基因的非独立性。Y 染色体上短串联重复(STR)基因座的进化是由不同因素导致的,如突变率的差异、突变模式、基因转换、选择和人口过程。基因座之间的相关程度取决于这些过程的大小。数据模拟是用于检验群体和进化研究中假设的常规工具。迄今为止,在线系单倍型模拟中使用的最基本参数是等位基因频率分布和突变率,假设基因座之间完全独立或连锁。在这项研究中,我们引入了使用斯皮尔曼相关系数来估计非重组基因座之间的依赖程度。然后,在模拟单倍型的算法中同时考虑了基因座之间的相互依赖关系和多等位基因座的等位基因频率分布。我们使用已发表和未发表的 Y 染色体 STR 数据来说明该方法。

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