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中世纪早期欧洲的高分辨率基因组历史。

High-resolution genomic history of early medieval Europe.

作者信息

Speidel Leo, Silva Marina, Booth Thomas, Raffield Ben, Anastasiadou Kyriaki, Barrington Christopher, Götherström Anders, Heather Peter, Skoglund Pontus

机构信息

Ancient Genomics Laboratory, Francis Crick Institute, London, UK.

Genetics Institute, University College London, London, UK.

出版信息

Nature. 2025 Jan;637(8044):118-126. doi: 10.1038/s41586-024-08275-2. Epub 2025 Jan 1.

Abstract

Many known and unknown historical events have remained below detection thresholds of genetic studies because subtle ancestry changes are challenging to reconstruct. Methods based on shared haplotypes and rare variants improve power but are not explicitly temporal and have not been possible to adopt in unbiased ancestry models. Here we develop Twigstats, an approach of time-stratified ancestry analysis that can improve statistical power by an order of magnitude by focusing on coalescences in recent times, while remaining unbiased by population-specific drift. We apply this framework to 1,556 available ancient whole genomes from Europe in the historical period. We are able to model individual-level ancestry using preceding genomes to provide high resolution. During the first half of the first millennium CE, we observe at least two different streams of Scandinavian-related ancestry expanding across western, central and eastern Europe. By contrast, during the second half of the first millennium CE, ancestry patterns suggest the regional disappearance or substantial admixture of these ancestries. In Scandinavia, we document a major ancestry influx by approximately 800 CE, when a large proportion of Viking Age individuals carried ancestry from groups related to central Europe not seen in individuals from the early Iron Age. Our findings suggest that time-stratified ancestry analysis can provide a higher-resolution lens for genetic history.

摘要

许多已知和未知的历史事件一直低于基因研究的检测阈值,因为细微的血统变化很难重建。基于共享单倍型和罕见变异的方法提高了检测能力,但没有明确的时间维度,并且无法应用于无偏的血统模型。在这里,我们开发了Twigstats,一种时间分层血统分析方法,通过关注近期的合并事件,可以将统计能力提高一个数量级,同时不受特定人群漂移的影响而保持无偏性。我们将这个框架应用于历史时期欧洲的1556个可用古代全基因组。我们能够使用先前的基因组对个体水平的血统进行建模,以提供高分辨率。在公元1世纪上半叶,我们观察到至少有两股与斯堪的纳维亚相关的不同血统流在西欧、中欧和东欧扩展。相比之下,在公元1世纪下半叶,血统模式表明这些血统在该地区消失或大量混合。在斯堪的纳维亚,我们记录了大约在公元800年左右的一次主要血统流入,当时很大一部分维京时代的个体携带了来自与中欧相关群体的血统,而在早期铁器时代的个体中没有发现这种血统。我们的研究结果表明,时间分层血统分析可以为遗传历史提供一个更高分辨率的视角。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f8ac/11693606/e940e1c83973/41586_2024_8275_Fig1_HTML.jpg

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