2022
DOI: 10.1007/s00438-021-01837-3
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The genomic history of southwestern Chinese populations demonstrated massive population migration and admixture among proto-Hmong–Mien speakers and incoming migrants

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Cited by 17 publications
(27 citation statements)
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“…We found the longest ROH indexes in Yao people than that in other populations (Figure 4e). Miao people have recently mixed with Han Chinese population and tended to have the shortest ROH values, which was consistent with previously evidenced admixture processes via admixture model reconstruction [37]. We also estimated the effective population size among HM people (Figure 5a), and all studied populations experienced different tracts of population bottleneck followed by population expansion.…”
Section: Fine-scale Population Differentiation Between Inland and Coa...supporting
confidence: 87%
See 1 more Smart Citation
“…We found the longest ROH indexes in Yao people than that in other populations (Figure 4e). Miao people have recently mixed with Han Chinese population and tended to have the shortest ROH values, which was consistent with previously evidenced admixture processes via admixture model reconstruction [37]. We also estimated the effective population size among HM people (Figure 5a), and all studied populations experienced different tracts of population bottleneck followed by population expansion.…”
Section: Fine-scale Population Differentiation Between Inland and Coa...supporting
confidence: 87%
“…To analyze the complete admixture and interaction landscape between HM people and other ancestral source groups, we merged our dataset with ancient eastern Eurasians included in the 1240K dataset. The Illumina reference populations included two AA Blang and Wa, nine Mongolic-speaking Baoan, Dongxiang, Mongolian, and Yugur, Sinitic-speaking Han and Hui populations from Shaanxi, Sichuan, Gansu, Guizhou, and Fujian provinces, six TB-speaking Pumi, Bai, Hani, Tibetan and Tujia, one Tungusic Manchu, and two Turkicspeaking Kazakh and Salar (Figure 1d) [13,20,21,37,38,[63][64][65][66][67][68][69] Mongolic people from 18 populations, 62 Tungusic people from 62 populations [18,40,41]. Ancient eastern Eurasians were included in both the HO dataset and the 1240K dataset, which included 48 ancient Yellow River Basin farmers from 20 populations in Shandong, Henan, Shaanxi, and Gansu [15,18,70]; 30 ancient people from 13 populations in Amur River Basin or West Liao River Basin [2,70]; 23 ancient people from 9 population in Guangxi province [3]; 54 ancient people from 9 populations in Fujian province and Taiwan island [15]; 26 ancient people from 10 populations in Japan and Korea Peninsula [17]; 33 ancient people from 7 populations in Nepal in the Tibetan Plateau [54,71]; 54 ancient people from 9 populations southern Russia around Baikal lake regions [1,16,72]; 243 ancient people from 20 populations in the Mongolia Plateau [1]; 18 ancient people from 4 populations in Xinjiang [73].…”
Section: Data Set and Reference Populationsmentioning
confidence: 99%
“…Still, a recent study of genome-wide SNPs in the present-day HM populations showed that the Libo Yao is more representative of the ancestral lineage of HM groups than the 500-year-old Gaohuahua [ 27 ]. There is a growing number of genome-wide studies of HM-speaking populations, and they all revealed a north–south mixing pattern of HM-speaking people and the existence of genetic substructures among HM-speaking populations from different regions [ 27 29 ]. Gao et al extrapolated the divergence time of HM-speaking people and found that the separation of Yao from other HM groups was earlier than that between Miao and She.…”
Section: Introductionmentioning
confidence: 99%
“…PanAsia project used a 50K SNP dataset from Asian populations and identi ed the association between genetic structure, geographic isolation, and linguistic a liation 31 . Most previous genetic studies also used the merged dataset (50K ~ 190K) to explore the genetic relationship and admixture models of their focused populations, which has limited the use of most of the genetic diversity of the missing SNPs in Human Origins and 1240K SNP panel [32][33][34][35] . Thus, we used three different datasets (Original high-density worldwide modern population dataset, mediatedensity and low-density modern and ancient dataset) to characterize Guizhou populations' genetic features comprehensively.…”
Section: Discussionmentioning
confidence: 99%