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ZENODO
Software . 2025
License: CC BY
Data sources: Datacite
ZENODO
Software . 2025
License: CC BY
Data sources: Datacite
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Code for review "Ancient genomes give insight into 160,000 years of East Asian population dynamics and biological adaptation"

Authors: Guanglin, He; Yuntao, Sun; Shuhan, Duan; Lintao, Luo; Qiuxia, Sun; Bowen, Li; Libing, Yun; +2 Authors

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

Abstract

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.

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average