Literature DB >> 32123326

Inferring the population history of Tai-Kadai-speaking people and southernmost Han Chinese on Hainan Island by genome-wide array genotyping.

Guanglin He1,2, Zheng Wang1, Jianxin Guo2, Mengge Wang1, Xing Zou1, Renkuan Tang3, Jing Liu1, Han Zhang4, Yingxiang Li2, Rong Hu2, Lan-Hai Wei2, Gang Chen5, Chuan-Chao Wang6, Yiping Hou7.   

Abstract

Hainan Island, located between East Asia and Southeast Asia, represents an ideal region for the study of the genetic architecture of geographically isolated populations. However, the genetic structure and demographic history of the indigenous Tai-Kadai-speaking Hlai people and recent expanded southernmost Han Chinese on this island are poorly characterized due to a lack of genetic data. Thus, we collected and genotyped 36 Qiongzhong Hlai and 48 Haikou Han individuals at 497,637 single nucleotide polymorphisms (SNPs). We applied principal component analysis, ADMIXTURE, symmetrical D-statistics, admixture-f3 statistics, qpWave, and qpAdm analysis to infer the population history. Our results revealed the East Asian populations are characterized by a north-south genetic cline with Hlai at the southernmost end. We have not detected recent gene flow from neighboring populations into Hlai, therefore, we used Hlai as an unadmixed proxy to model the admixture history of mainland Tai-Kadai-speaking populations and southern Han Chinese. The mainland Tai-Kadai-speaking populations are suggested deriving a larger number of their ancestry from Hlai-related lineage, but also having admixture from South Asian-related or other neighboring populations. The Hlai group is also suggested to contribute about half of the ancestry to Han Chinese in Hainan. The complex patterns of genetic structure in East Asia were shaped via language categories, geographical boundaries, and large southward population movements with language dispersal and agriculture propagation.

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Year:  2020        PMID: 32123326      PMCID: PMC7381617          DOI: 10.1038/s41431-020-0599-7

Source DB:  PubMed          Journal:  Eur J Hum Genet        ISSN: 1018-4813            Impact factor:   4.246


  5 in total

1.  New insights into the fine-scale history of western-eastern admixture of the northwestern Chinese population in the Hexi Corridor via genome-wide genetic legacy.

Authors:  Hongbin Yao; Mengge Wang; Xing Zou; Yingxiang Li; Xiaomin Yang; Ailin Li; Hui-Yuan Yeh; Peixin Wang; Zheng Wang; Jingya Bai; Jianxin Guo; Jinwen Chen; Xiao Ding; Yan Zhang; Baoquan Lin; Chuan-Chao Wang; Guanglin He
Journal:  Mol Genet Genomics       Date:  2021-03-01       Impact factor: 3.291

2.  The genomic history of southwestern Chinese populations demonstrated massive population migration and admixture among proto-Hmong-Mien speakers and incoming migrants.

Authors:  Yicheng Wang; Xing Zou; Mengge Wang; Guanglin He; Didi Yuan; Li Yang; Yujie Zeng; Fang Cheng; Renkuan Tang
Journal:  Mol Genet Genomics       Date:  2022-01-15       Impact factor: 3.291

3.  Combined Low-/High-Density Modern and Ancient Genome-Wide Data Document Genomic Admixture History of High-Altitude East Asians.

Authors:  Yan Liu; Mengge Wang; Pengyu Chen; Zheng Wang; Jing Liu; Lilan Yao; Fei Wang; Renkuan Tang; Xing Zou; Guanglin He
Journal:  Front Genet       Date:  2021-02-11       Impact factor: 4.599

4.  Fine-Scale Population Admixture Landscape of Tai-Kadai-Speaking Maonan in Southwest China Inferred From Genome-Wide SNP Data.

Authors:  Jing Chen; Guanglin He; Zheng Ren; Qiyan Wang; Yubo Liu; Hongling Zhang; Meiqing Yang; Han Zhang; Jingyan Ji; Jing Zhao; Jianxin Guo; Jinwen Chen; Kongyang Zhu; Xiaomin Yang; Rui Wang; Hao Ma; Le Tao; Yilan Liu; Qu Shen; Wenjiao Yang; Chuan-Chao Wang; Jiang Huang
Journal:  Front Genet       Date:  2022-02-17       Impact factor: 4.599

5.  Indian genetic heritage in Southeast Asian populations.

Authors:  Piya Changmai; Kitipong Jaisamut; Jatupol Kampuansai; Wibhu Kutanan; N Ezgi Altınışık; Olga Flegontova; Angkhana Inta; Eren Yüncü; Worrawit Boonthai; Horolma Pamjav; David Reich; Pavel Flegontov
Journal:  PLoS Genet       Date:  2022-02-17       Impact factor: 5.917

  5 in total

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