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Detecting individual ancestry in the human genome

机译:检测人类基因组中的个体血统

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Detecting and quantifying the population substructure present in a sample of individuals are of main interest in the fields of genetic epidemiology, population genetics, and forensics among others. To date, several algorithms have been proposed for estimating the amount of genetic ancestry within an individual. In the present review, we introduce the most widely used methods in population genetics for detecting individual genetic ancestry. We further show, by means of simulations, the performance of popular algorithms for detecting individual ancestry in various controlled demographic scenarios. Finally, we provide some hints on how to interpret the results from these algorithms.
机译:检测和量化个体样本中存在的种群亚结构是遗传流行病学,种群遗传学和法医学等领域的主要兴趣。迄今为止,已经提出了几种算法来估计个体中遗传祖先的数量。在本文中,我们介绍了群体遗传学中检测个体遗传谱系最广泛使用的方法。通过仿真,我们进一步展示了在各种受控的人口统计情况下用于检测个人血统的流行算法的性能。最后,我们对如何解释这些算法的结果提供了一些提示。

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