2021
DOI: 10.3389/fgene.2021.685285
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Genomic Insights Into the Admixture History of Mongolic- and Tungusic-Speaking Populations From Southwestern East Asia

Abstract: As a major part of the modern Trans-Eurasian or Altaic language family, most of the Mongolic and Tungusic languages were mainly spoken in northern China, Mongolia, and southern Siberia, but some were also found in southern China. Previous genetic surveys only focused on the dissection of genetic structure of northern Altaic-speaking populations; however, the ancestral origin and genomic diversification of Mongolic and Tungusic–speaking populations from southwestern East Asia remain poorly understood because of… Show more

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Cited by 25 publications
(34 citation statements)
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“…Genetic analysis based on the unlinked SNPs can only capture the major information of population history encoded in the genomes. Thus, to further identify, date, and describe the fine-scale admixture events and decode more detailed information of population demographic history of Guizhou Hans, we merged population data with previous published East Asians genotyped using the same array (700K), including 11 Han populations from Shaanxi Province ( He G.-L. et al, 2020 ), Lanzhou Hans from Gansu Province ( Yao et al, 2021 ), Boshu Huis and Nanchong Hans ( Liu et al, 2021b ) from Sichuan Province, officially unrecognized populations [Chuanqings, Gejias, Dongjias, and Xijias ( Lu et al, 2020 )], and Manchus and Mongolians from Guizhou Province ( Chen et al, 2021 ). We used SHAPEIT to phase the genome-wide data and obtain the phased SNPs.…”
Section: Resultsmentioning
confidence: 99%
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“…Genetic analysis based on the unlinked SNPs can only capture the major information of population history encoded in the genomes. Thus, to further identify, date, and describe the fine-scale admixture events and decode more detailed information of population demographic history of Guizhou Hans, we merged population data with previous published East Asians genotyped using the same array (700K), including 11 Han populations from Shaanxi Province ( He G.-L. et al, 2020 ), Lanzhou Hans from Gansu Province ( Yao et al, 2021 ), Boshu Huis and Nanchong Hans ( Liu et al, 2021b ) from Sichuan Province, officially unrecognized populations [Chuanqings, Gejias, Dongjias, and Xijias ( Lu et al, 2020 )], and Manchus and Mongolians from Guizhou Province ( Chen et al, 2021 ). We used SHAPEIT to phase the genome-wide data and obtain the phased SNPs.…”
Section: Resultsmentioning
confidence: 99%
“…Genetic origins and admixture history of four geographically different Guizhou Hans and the finer-scale substructure among Han Chinese based on the genome-wide data were the main studied focus. We also included minorities (Geijia, Dongjia, Xijia, Manchu, and Mongolian) residing in Guizhou Province and other Hans from the surrounding provinces as our references ( Lu et al, 2020 ; Chen et al, 2021 ; Liu et al, 2021b ). PCA and ADMIXTURE results clustered Guizhou Hans in the intermediated position between northern East Asians and southern East Asians, consistent with the clustering patterns in the TreeMix-based phylogeny and the geographical location.…”
Section: Discussionmentioning
confidence: 99%
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“…We subsequently explored the genetic similarities and differences within and between Tanka people and their adjacent East Asians(Chen et al, 2021; He et al, 2021; Y. Liu et al, 2021; Lu et al, 2020; Jin Sun et al, 2020; Q.…”
Section: Resultsmentioning
confidence: 99%
“…Missing SNPs and missing individuals were checked using the Plink 1.9 (Purcell et al, 2007) with the two parameters (mind: 0.01 and geno: 0.01). We then merged the quality-controlled data with previously published modern and ancient Eurasian populations included in the Human Origin dataset or 1240K dataset publicly shared from Reich Lab and other published genetic studies (Chen et al, 2021; Guanglin He et al, 2020; He et al, 2021; Lipson et al, 2018; D. Liu et al, 2020; Y.…”
Section: Methodsmentioning
confidence: 99%