YanHuang Paternal Genomic Resource Suggested A Weakly-Differentiated Multi-Source Admixture Model for the Formation of Han’s Founding Ancestral Lineages Article Swipe
YOU?
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· 2025
· Open Access
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· DOI: https://doi.org/10.1093/gpbjnl/qzaf049
The revolution in large-scale human genomics and advancements in statistical methods have profoundly refined our understanding of genetic diversity and structure within human populations. Y-chromosome variations, with their distinct evolutionary characteristics, play crucial roles in reconstructing the origins and interactions of ancient East Asian paternal lineages. We launched the YanHuang cohort employing a high-resolution capture sequencing panel to explore the evolutionary trajectory of Han Chinese, one of the world’s largest ethnic groups. We generated paternal genomic data for 5020 Han Chinese individuals across 29 Chinese administrative regions. We observed that multiple founding paternal lineages originating from ancient western Eurasia, Siberia, and East Asia contributed significantly to the Han Chinese gene pool. We identified fine-scale paternal genetic structures shaped by interactions among ancient populations and geographic barriers like the Qinling-Huaihe line and the Nanling Mountains. This structure reflects both isolation-enhanced and admixture-driven genetic differentiation, underscoring the complexity of Han Chinese genomic diversity. We observed a strong correlation between the frequency of multiple founding lineages and subsistence-related ancestral sources, including western pastoralists, Holocene Mongolian Plateau populations, and ancient East Asians. This relationship highlights the impact of ancient migrations and admixture on Chinese paternal genomic diversity. We introduce the Weakly-Differentiated Multi-Source Admixture model to clarify the intricate interactions among multiple ancestral sources influencing the Han Chinese paternal landscape. This study provides a comprehensive uniparental genomic resource from the YanHuang cohort, proposes a novel admixture model, and delineates the complex genomic landscape shaped by ancient herders, hunter-gatherers, and farmers integral to Han Chinese ancestry.
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- article
- Language
- en
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- https://doi.org/10.1093/gpbjnl/qzaf049
- https://academic.oup.com/gpb/advance-article-pdf/doi/10.1093/gpbjnl/qzaf049/63437596/qzaf049.pdf
- OA Status
- gold
- Cited By
- 11
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4411075241
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https://openalex.org/W4411075241Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1093/gpbjnl/qzaf049Digital Object Identifier
- Title
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YanHuang Paternal Genomic Resource Suggested A Weakly-Differentiated Multi-Source Admixture Model for the Formation of Han’s Founding Ancestral LineagesWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2025Year of publication
- Publication date
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2025-06-04Full publication date if available
- Authors
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Zhiyong Wang, K. F. Liu, Haibing Yuan, Shuhan Duan, Yunhui Liu, Lintao Luo, Xiucheng Jiang, Shijia Chen, Lan‐Hai Wei, Renkuan Tang, L Hu, Jing Chen, Xiangping Li, Qing Yang, Yuntao Sun, Qiuxia Sun, Yuguo Huang, Huang Su, Jie Zhong, Hongbing Yao, Libing Yun, Jianbo Li, Jeng-Gung Yang, Yan Cai, Deng Hong, Jiangwei Yan, Bofeng Zhu, Guanglin He, Chao Liu, Mengge Wang, Renkuan Tang, Libing Yun, Junbao Yang, Chuan‐Chao Wang, Jiangwei Yan, Bofeng Zhu, Liping Hu, Shengjie Nie, Hongbing Yao, Kun Zhou, Shengjie Nie, Chao Liu, Mengge Wang, Guanglin HeList of authors in order
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https://doi.org/10.1093/gpbjnl/qzaf049Publisher landing page
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https://academic.oup.com/gpb/advance-article-pdf/doi/10.1093/gpbjnl/qzaf049/63437596/qzaf049.pdfDirect link to full text PDF
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YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
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https://academic.oup.com/gpb/advance-article-pdf/doi/10.1093/gpbjnl/qzaf049/63437596/qzaf049.pdfDirect OA link when available
- Concepts
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Evolutionary biology, Biology, Geography, East Asia, Genetic diversity, Diversity (politics), Genomics, Lineage (genetic), Demography, Genetics, Gene, Population, China, Archaeology, Genome, Anthropology, SociologyTop concepts (fields/topics) attached by OpenAlex
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11Total citation count in OpenAlex
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2025: 11Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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