Williams Matthew P, Huber Christian D
Department of Biology, The Pennsylvania State University, University Park, PA, 16802, USA.
Genome Biol. 2025 Jul 16;26(1):206. doi: 10.1186/s13059-025-03664-w.
Ancient DNA has emerged as a powerful tool for studying human migration through the detection of admixture signatures. Here, we present the theoretical principles and methodologies for admixture analysis, with an emphasis on f-statistics and qpAdm. We review case studies from the literature demonstrating how these methods uncover patterns of human mobility, and discuss challenges related to data quality, demographic complexity, and sample representativeness on admixture and migration inferences. Finally, we highlight promising advancements in admixture analysis and underscore the importance of integrating genetic, archaeological, and historical data to achieve a more interdisciplinary and nuanced reconstruction of human history.
通过检测混合特征,古代DNA已成为研究人类迁徙的有力工具。在此,我们介绍混合分析的理论原理和方法,重点介绍f统计量和qpAdm。我们回顾文献中的案例研究,展示这些方法如何揭示人类流动模式,并讨论在混合和迁徙推断中与数据质量、人口复杂性和样本代表性相关的挑战。最后,我们强调混合分析中前景广阔的进展,并强调整合遗传、考古和历史数据对于实现更具跨学科性和细致入微的人类历史重建的重要性。