Ancient genomes reveal an extensive kinship network and endogamy in a Three-Kingdoms period society in Korea.

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Title: Ancient genomes reveal an extensive kinship network and endogamy in a Three-Kingdoms period society in Korea.
Authors: Moon H; School of Biological Sciences, Seoul National University, Seoul 08826, Republic of Korea.; Institute for Data Innovation in Science, Seoul National University, Seoul 08826, Republic of Korea., Kim D; Museum of Yeungnam University, Yeungnam University, Gyeongsan 38541, Republic of Korea., Hiss AN; Department of Archaeogenetics, Max Planck Institute for Evolutionary Anthropology, 04103 Leipzig, Germany., Lee DN; School of Biological Sciences, Seoul National University, Seoul 08826, Republic of Korea., Lee J; School of Biological Sciences, Seoul National University, Seoul 08826, Republic of Korea.; Institute for Data Innovation in Science, Seoul National University, Seoul 08826, Republic of Korea., Skourtanioti E; Department of Archaeogenetics, Max Planck Institute for Evolutionary Anthropology, 04103 Leipzig, Germany., Gnecchi-Ruscone GA; Department of Archaeogenetics, Max Planck Institute for Evolutionary Anthropology, 04103 Leipzig, Germany., Krause J; Department of Archaeogenetics, Max Planck Institute for Evolutionary Anthropology, 04103 Leipzig, Germany., Woo EJ; Department of History, Sejong University, Seoul 05006, Republic of Korea., Jeong C; School of Biological Sciences, Seoul National University, Seoul 08826, Republic of Korea.; Institute for Data Innovation in Science, Seoul National University, Seoul 08826, Republic of Korea.
Source: Science advances [Sci Adv] 2026 Apr 10; Vol. 12 (15), pp. eady8614. Date of Electronic Publication: 2026 Apr 08.
Publication Type: Journal Article; Historical Article
Journal Info: Publisher: American Association for the Advancement of Science Country of Publication: United States NLM ID: 101653440 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2375-2548 (Electronic) Linking ISSN: 23752548 NLM ISO Abbreviation: Sci Adv Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2375-2548
DOI:10.1126/sciadv.ady8614