Literature DB >> 20595611

Sequencing of 50 human exomes reveals adaptation to high altitude.

Xin Yi1, Yu Liang, Emilia Huerta-Sanchez, Xin Jin, Zha Xi Ping Cuo, John E Pool, Xun Xu, Hui Jiang, Nicolas Vinckenbosch, Thorfinn Sand Korneliussen, Hancheng Zheng, Tao Liu, Weiming He, Kui Li, Ruibang Luo, Xifang Nie, Honglong Wu, Meiru Zhao, Hongzhi Cao, Jing Zou, Ying Shan, Shuzheng Li, Qi Yang, Peixiang Ni, Geng Tian, Junming Xu, Xiao Liu, Tao Jiang, Renhua Wu, Guangyu Zhou, Meifang Tang, Junjie Qin, Tong Wang, Shuijian Feng, Guohong Li, Jiangbai Luosang, Wei Wang, Fang Chen, Yading Wang, Xiaoguang Zheng, Zhuo Li, Zhuoma Bianba, Ge Yang, Xinping Wang, Shuhui Tang, Guoyi Gao, Yong Chen, Zhen Luo, Lamu Gusang, Zheng Cao, Qinghui Zhang, Weihan Ouyang, Xiaoli Ren, Huiqing Liang, Huisong Zheng, Yebo Huang, Jingxiang Li, Lars Bolund, Karsten Kristiansen, Yingrui Li, Yong Zhang, Xiuqing Zhang, Ruiqiang Li, Songgang Li, Huanming Yang, Rasmus Nielsen, Jun Wang, Jian Wang.   

Abstract

Residents of the Tibetan Plateau show heritable adaptations to extreme altitude. We sequenced 50 exomes of ethnic Tibetans, encompassing coding sequences of 92% of human genes, with an average coverage of 18x per individual. Genes showing population-specific allele frequency changes, which represent strong candidates for altitude adaptation, were identified. The strongest signal of natural selection came from endothelial Per-Arnt-Sim (PAS) domain protein 1 (EPAS1), a transcription factor involved in response to hypoxia. One single-nucleotide polymorphism (SNP) at EPAS1 shows a 78% frequency difference between Tibetan and Han samples, representing the fastest allele frequency change observed at any human gene to date. This SNP's association with erythrocyte abundance supports the role of EPAS1 in adaptation to hypoxia. Thus, a population genomic survey has revealed a functionally important locus in genetic adaptation to high altitude.

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Year:  2010        PMID: 20595611      PMCID: PMC3711608          DOI: 10.1126/science.1190371

Source DB:  PubMed          Journal:  Science        ISSN: 0036-8075            Impact factor:   47.728


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