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Research Publication

Ancient genomes give insight into 160,000 years of East Asian population dynamics and biological adaptation

Guanglin He, Yuntao Sun, Shuhan Duan et al.

9 Authors
2025-12-10 Published
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Chapter I

Publication Details

Comprehensive information about this research publication

Authors

GH
Guanglin He
YS
Yuntao Sun
SD
Shuhan Duan
LL
Lintao Luo
QS
Qiuxia Sun
BL
Bowen Li
LY
Libing Yun
CL
Chao Liu
MW
Mengge Wang
Chapter II

Abstract

Summary of the research findings

Advances in ancient DNA research have transformed our understanding of human evolution, admixture-driven adaptation, and genetic underpinnings of traits. However, the evolutionary dynamics of Paleolithic and Neolithic East Asian remain fragmented. This review synthesizes 160,000 years of population interactions, highlighting three waves of archaic introgression and extensive population admixtures. We examine how ancestral lineages and agricultural innovations shaped East Asian populations, while migrations and admixture events linked to shifting subsistence strategies contributed to genomic and phenotypic diversity. Adaptive signatures from ancient genomes further elucidate the underpinnings of high-altitude adaptation, pigmentation, and morphological traits, offering new insights into human evolutionary biology.

Chapter III

Analysis

Comprehensive review of ancestry and genetic findings

Important Disclaimer: This review has been performed semi-automatically and is provided for informational purposes only. While we strive for accuracy, this analysis may contain errors, omissions, or misinterpretations of the original research. DNA Genics disclaims all liability for any inaccuracies, errors, or consequences arising from the use of this information. Users should independently verify all information and consult original research publications before making any decisions based on this content. This analysis is not intended as a substitute for professional scientific review or medical advice.

Summary

Key Findings

Ancestry Insights

Traits Analysis

Historical Context

Scientific Assessment