Suppr超能文献

利用基因组数据评估种群关系和历史的方法。

Methods for Assessing Population Relationships and History Using Genomic Data.

机构信息

Department of Molecular and Cell Biology and Center for Computational Biology, University of California, Berkeley, California, USA; email:

UCL Genetics Institute and Research Department of Genetics, Evolution, and Environment, University College London, London, United Kingdom; email:

出版信息

Annu Rev Genomics Hum Genet. 2023 Aug 25;24:305-332. doi: 10.1146/annurev-genom-111422-025117. Epub 2023 May 23.

Abstract

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.

摘要

遗传数据记录了我们的进化历史。大规模的人类群体数据集在不同的地理区域和时间尺度上的可用性,以及分析这些数据的计算方法的进步,改变了我们利用遗传数据了解过去进化的能力。在这里,我们回顾了一些广泛使用的统计方法,这些方法利用基因组数据来探索和描述群体关系和历史。我们描述了常用方法的基本原理、解释和重要的局限性。为了说明问题,我们将这些技术应用于人类基因组多样性计划中 929 名代表 53 个全球群体的全基因组常染色体数据。最后,我们讨论了基因组方法在研究人口历史方面的新前沿。总之,本综述强调了 DNA 推断人类进化历史特征的强大功能(和局限性),补充了考古学、人类学和语言学等其他学科的知识。

相似文献

1
Methods for Assessing Population Relationships and History Using Genomic Data.利用基因组数据评估种群关系和历史的方法。
Annu Rev Genomics Hum Genet. 2023 Aug 25;24:305-332. doi: 10.1146/annurev-genom-111422-025117. Epub 2023 May 23.
5
8
Harnessing deep learning for population genetic inference.利用深度学习进行群体遗传推断。
Nat Rev Genet. 2024 Jan;25(1):61-78. doi: 10.1038/s41576-023-00636-3. Epub 2023 Sep 4.
9
Formal linguistics as a cue to demographic history.形式语言学作为人口历史的线索。
J Anthropol Sci. 2016 Jun 20;94:147-55. doi: 10.4436/JASS.94031. Epub 2015 Apr 11.
10
Archaeogenomic distinctiveness of the Isthmo-Colombian area.伊斯地峡-哥伦比亚地区的古基因组独特性。
Cell. 2021 Apr 1;184(7):1706-1723.e24. doi: 10.1016/j.cell.2021.02.040. Epub 2021 Mar 23.

本文引用的文献

7
A roadmap to increase diversity in genomic studies.增加基因组研究多样性的路线图。
Nat Med. 2022 Feb;28(2):243-250. doi: 10.1038/s41591-021-01672-4. Epub 2022 Feb 10.

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验