Genetic legacy of ancient hunter-gatherer Jomon in Japanese populations
Yamamoto KPapers in this archive, Namba SPapers in this archive, Sonehara KPapers in this archive, Suzuki KPapers in this archive, Sakaue SPapers in this archive, Cooke NPPapers in this archive, Higashiue SPapers in this archive, Kobayashi SPapers in this archive, Afuso HPapers in this archive, Matsuura KPapers in this archive, Mitsumoto YPapers in this archive, Fujita YPapers in this archive, Tokuda TPapers in this archive, Biobank Japan ProjectPapers in this archive, Matsuda KPapers in this archive, Gakuhari TPapers in this archive, Yamauchi TPapers in this archive, Kadowaki TPapers in this archive, Nakagome SPapers in this archive, Okada YPapers in this archive
Abstract
The tripartite ancestral structure is a recently proposed model for the genetic origin of modern Japanese, comprising indigenous Jomon hunter-gatherers and two additional continental ancestors from Northeast Asia and East Asia. To investigate the impact of the tripartite structure on genetic and phenotypic variation today, we conducted biobank-scale analyses by merging Biobank Japan (BBJ; n = 171,287) with ancient Japanese and Eurasian genomes (n = 22). We demonstrate the applicability of the tripartite model to Japanese populations throughout the archipelago, with an extremely strong correlation between Jomon ancestry and genomic variation among individuals. We also find that the genetic legacy of Jomon ancestry underlies an elevated body mass index (BMI). Genome-wide association analysis with rigorous adjustments for geographical and ancestral substructures identifies 132 variants that are informative for predicting individual Jomon ancestry. This prediction model is validated using independent Japanese cohorts (Nagahama cohort, n = 2993; the second cohort of BBJ, n = 72,695). We further confirm the phenotypic association between Jomon ancestry and BMI using East Asian individuals from UK Biobank (n = 2286). Our extensive analysis of ancient and modern genomes, involving over 250,000 participants, provides valuable insights into the genetic legacy of ancient hunter-gatherers in contemporary populations. Subject terms: Evolutionary biology, Genetic variation, Evolutionary genetics, Genome informatics, Risk factors
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