Methods for Assessing Population Relationships and History Using Genomic Data.

Methods for Assessing Population Relationships and History Using Genomic Data.
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使用基因组数据评估人口关系和历史的方法。

DOI:
10.1146/annurev-genom-111422-025117
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发表时间:
2023
影响因子:
8.7
通讯作者:
Hellenthal,Garrett
Hellenthal,Garrett
中科院分区:
生物学2区
文献类型:
--
作者:
Moorjani,Priya;Hellenthal,Garrett

文献摘要

相似文献

基因数据包含了我们进化历史的记录。来自不同地理区域和时间尺度的大规模人口数据集的可用性,加上分析这些数据的计算方法的进步,已经改变了我们使用遗传数据来了解我们进化历史的能力。在这里,我们回顾了一些广泛使用的统计方法来探索和描述人口关系和历史的基因组数据。我们描述了常用方法背后的直觉,它们的解释和重要的限制。为了说明,我们将这些技术应用于来自929个个体的全基因组常染色体数据,这些个体代表了人类基因组多样性项目的53个全球人群。最后,我们讨论了新的前沿基因组方法来了解人口的历史。总之,这篇评论强调了DNA推断人类进化历史特征的能力(和局限性),补充了从其他学科(如考古学,人类学和语言学)收集的知识。
Genetic data contain a record of our evolutionary history. The availability of large-scale datasets of human populations from various geographic areas and timescales, coupled with advances in the computational methods to analyze these data, has transformed our ability to use genetic data to learn about our evolutionary past. Here, we review some of the widely used statistical methods to explore and characterize population relationships and history using genomic data. We describe the intuition behind commonly used approaches, their interpretation, and important limitations. For illustration, we apply some of these techniques to genome-wide autosomal data from 929 individuals representing 53 worldwide populations that are part of the Human Genome Diversity Project. Finally, we discuss the new frontiers in genomic methods to learn about population history. In sum, this review highlights the power (and limitations) of DNA to infer features of human evolutionary history, complementing the knowledge gleaned from other disciplines, such as archaeology, anthropology, and linguistics.