Literature DB >> 28782792

The genetic admixture in Tibetan-Yi Corridor.

Hong-Bing Yao1, Senwei Tang2, Xiaotian Yao2, Hui-Yuan Yeh3, Wanhu Zhang4, Zhiyan Xie4, Qiajun Du5, Liying Ma1, Shuoyun Wei1, Xue Gong1, Zilong Zhang1, Quanfang Li1, Bingying Xu6, Hu-Qin Zhang7, Gang Chen2, Chuan-Chao Wang8,9,10.   

Abstract

OBJECTIVES: The Tibetan-Yi Corridor located on the eastern edge of Tibetan Plateau is suggested to be the key region for the origin and diversification of Tibeto-Burman speaking populations and the main route of the peopling of the Plateau. However, the genetic history of the populations in the Corridor is far from clear due to limited sampling in the northern part of the Corridor.
MATERIALS AND METHODS: We collected blood samples from 10 Tibetan and 10 Han Chinese individuals from Gansu province and genotyped about 600,000 genome-wide single nucleotide polymorphisms (SNPs).
RESULTS: Our data revealed that the populations in the Corridor are all admixed on a genetic cline of deriving ancestry from Tibetans on the Plateau and surrounding lowland East Asians. The Tibetan and Han Chinese groups in the north of the Plateau show significant evidence of low-level West Eurasian admixture that could be probably traced back to 600∼900 years ago. DISCUSSION: We conclude that there have been huge population migrations from surrounding lowland onto the Tibetan Plateau via the Tibetan-Yi Corridor since the initial formation of Tibetans probably in Neolithic Time, which leads to the current genetic structure of Tibeto-Burman speaking populations.
© 2017 Wiley Periodicals, Inc.

Entities:  

Keywords:  Han Chinese; Tibetan; gene flow

Mesh:

Year:  2017        PMID: 28782792     DOI: 10.1002/ajpa.23291

Source DB:  PubMed          Journal:  Am J Phys Anthropol        ISSN: 0002-9483            Impact factor:   2.868


  7 in total

1.  Reconstruction of Y-chromosome phylogeny reveals two neolithic expansions of Tibeto-Burman populations.

Authors:  Ling-Xiang Wang; Yan Lu; Chao Zhang; Lan-Hai Wei; Shi Yan; Yun-Zhi Huang; Chuan-Chao Wang; Swapan Mallick; Shao-Qing Wen; Li Jin; Shu-Hua Xu; Hui Li
Journal:  Mol Genet Genomics       Date:  2018-06-19       Impact factor: 3.291

2.  Genetic polymorphisms and phylogenetic analyses of the Ü-Tsang Tibetan from Lhasa based on 30 slowly and moderately mutated Y-STR loci.

Authors:  Jiuyang Ding; Haoliang Fan; Yongsong Zhou; Zhuo Wang; Xiao Wang; Xuheng Song; Bofeng Zhu; Pingming Qiu
Journal:  Forensic Sci Res       Date:  2020-10-12

3.  Genetic diversity and phylogenetic characteristics of Chinese Tibetan and Yi minority ethnic groups revealed by non-CODIS STR markers.

Authors:  Guanglin He; Zheng Wang; Xing Zou; Xu Chen; Jing Liu; Mengge Wang; Yiping Hou
Journal:  Sci Rep       Date:  2018-04-12       Impact factor: 4.379

4.  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

5.  The Genetic Structure and East-West Population Admixture in Northwest China Inferred From Genome-Wide Array Genotyping.

Authors:  Bin Ma; Jinwen Chen; Xiaomin Yang; Jingya Bai; Siwei Ouyang; Xiaodan Mo; Wangsheng Chen; Chuan-Chao Wang; Xiangjun Hai
Journal:  Front Genet       Date:  2021-12-21       Impact factor: 4.599

6.  Genetic evidence of tri-genealogy hypothesis on the origin of ethnic minorities in Yunnan.

Authors:  Zhaoqing Yang; Hao Chen; Yan Lu; Yang Gao; Hao Sun; Jiucun Wang; Li Jin; Jiayou Chu; Shuhua Xu
Journal:  BMC Biol       Date:  2022-07-21       Impact factor: 7.364

7.  Genetic diversity and phylogenetic structure of four Tibeto-Burman-speaking populations in Tibetan-Yi corridor revealed by insertion/deletion polymorphisms.

Authors:  Xing Zou; Guanglin He; Mengge Wang; Liwen Huo; Xu Chen; Jing Liu; Shouyu Wang; Ziwei Ye; Fei Wang; Zheng Wang; Yiping Hou
Journal:  Mol Genet Genomic Med       Date:  2020-02-03       Impact factor: 2.183

  7 in total

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