Literature DB >> 30397334

Whole-genome sequencing of 175 Mongolians uncovers population-specific genetic architecture and gene flow throughout North and East Asia.

Haihua Bai1,2, Xiaosen Guo3,4,5, Narisu Narisu6, Tianming Lan3,4,5, Qizhu Wu7, Yanping Xing8, Yong Zhang3,5, Stephen R Bond9, Zhili Pei10, Yanru Zhang8, Dandan Zhang3,5, Jirimutu Jirimutu11, Dong Zhang8, Xukui Yang12, Morigenbatu Morigenbatu13, Li Zhang8, Bingyi Ding3,5, Baozhu Guan14, Junwei Cao8, Haorong Lu3,5,15, Yiyi Liu8, Wangsheng Li3,5, Ningxin Dang3,5, Mingyang Jiang10, Shenyuan Wang8, Huixin Xu3,5, Dingzhu Wang13, Chunxia Liu8, Xin Luo3,5, Ying Gao1, Xueqiong Li8, Zongze Wu4,12, Liqing Yang7, Fanhua Meng8, Xiaolian Ning3,5, Hashenqimuge Hashenqimuge7, Kaifeng Wu8, Bo Wang3,5, Suyalatu Suyalatu1, Yingchun Liu8, Chen Ye3,5, Huiguang Wu1, Kalle Leppälä16, Lu Li8, Lin Fang3,5, Yujie Chen1, Wenhao Xu3,5,17, Tao Li8, Xin Liu3,5, Xun Xu3,5, Christopher R Gignoux18, Huanming Yang3,5,19, Lawrence C Brody20, Jun Wang3,4, Karsten Kristiansen3,4, Burenbatu Burenbatu21, Huanmin Zhou22, Ye Yin23,24,25.   

Abstract

The genetic variation in Northern Asian populations is currently undersampled. To address this, we generated a new genetic variation reference panel by whole-genome sequencing of 175 ethnic Mongolians, representing six tribes. The cataloged variation in the panel shows strong population stratification among these tribes, which correlates with the diverse demographic histories in the region. Incorporating our results with the 1000 Genomes Project panel identifies derived alleles shared between Finns and Mongolians/Siberians, suggesting that substantial gene flow between northern Eurasian populations has occurred in the past. Furthermore, we highlight that North, East, and Southeast Asian populations are more aligned with each other than these groups are with South Asian and Oceanian populations.

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Year:  2018        PMID: 30397334     DOI: 10.1038/s41588-018-0250-5

Source DB:  PubMed          Journal:  Nat Genet        ISSN: 1061-4036            Impact factor:   38.330


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