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Research Publication

Ancient Genomes from the Qing Dynasty Reveal Unbroken Genetic Continuity in China's Central Plains.

Yawei Zhou, Yukai Lin, Hao Ma et al.

41479132 PubMed ID
22 Authors
2026-01-02 Published
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Chapter I

Publication Details

Comprehensive information about this research publication

Authors

YZ
Yawei Zhou
YL
Yukai Lin
HM
Hao Ma
RW
Rui Wang
HZ
Hongbo Zhai
ZQ
Ziwei Qin
YZ
Yuding Zeng
YL
Yiqiang Lou
YX
Yu Xu
HC
Haodong Chen
TB
Tianyou Bai
WS
Wang Shen
TC
Ting Chen
XY
Xiaomin Yang
JZ
Jiajing Zheng
LT
Le Tao
HH
Haifeng He
KZ
Kongyang Zhu
JL
Jinxi Li
LC
Lu Chen
FY
Fei Yan
CW
Chuan-Chao Wang
Chapter II

Abstract

Summary of the research findings

The Central Plain of China, the cradle of Chinese civilization, experienced major demographic upheavals during the Qing era (1644 - 1912 AD), yet its population's genetic history during this critical period remains largely uncharacterized. Here, we generated genome-wide data for 46 Qing Dynasty individuals from the Sanzhiyuan cemetery in Sanmenxia, Henan province. The Sanzhiyuan population exhibits remarkable genetic homogeneity and shows substantial genetic continuity with preceding populations of the Yellow River region dating back to the Late Neolithic. We successfully model them as direct descendants of Tang Dynasty populations. Notably, despite the Qing being ruled by the ethnically distinct Manchu elite, we detected no evidence of large-scale genetic admixture with Manchu, Mongol, or other northern or West Eurasian groups. Furthermore, we demonstrate that these Qing-era individuals are direct ancestors of the modern Han population in Henan, completing an unbroken multi-millennial genetic lineage. Our findings further demonstrate the stability of the genetic profile of the Central Plains population-a stability that has persisted for millennia and remained profoundly unaffected by major historical upheaval.

Chapter III

Analysis

Comprehensive review of ancestry and genetic findings

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Summary

Key Findings

Ancestry Insights

Traits Analysis

Historical Context

Scientific Assessment