Literature DB >> 28373541

Genetic signatures of high-altitude adaptation in Tibetans.

Jian Yang1,2, Zi-Bing Jin3, Jie Chen2, Xiu-Feng Huang2, Xiao-Man Li2, Yuan-Bo Liang2, Jian-Yang Mao2, Xin Chen2, Zhili Zheng4,2, Andrew Bakshi4, Dong-Dong Zheng2, Mei-Qin Zheng2, Naomi R Wray4, Peter M Visscher4, Fan Lu3, Jia Qu3.   

Abstract

Indigenous Tibetan people have lived on the Tibetan Plateau for millennia. There is a long-standing question about the genetic basis of high-altitude adaptation in Tibetans. We conduct a genome-wide study of 7.3 million genotyped and imputed SNPs of 3,008 Tibetans and 7,287 non-Tibetan individuals of Eastern Asian ancestry. Using this large dataset, we detect signals of high-altitude adaptation at nine genomic loci, of which seven are unique. The alleles under natural selection at two of these loci [methylenetetrahydrofolate reductase (MTHFR) and EPAS1] are strongly associated with blood-related phenotypes, such as hemoglobin, homocysteine, and folate in Tibetans. The folate-increasing allele of rs1801133 at the MTHFR locus has an increased frequency in Tibetans more than expected under a drift model, which is probably a consequence of adaptation to high UV radiation. These findings provide important insights into understanding the genomic consequences of high-altitude adaptation in Tibetans.

Entities:  

Keywords:  Tibetans; genome-wide association study; high-altitude adaptation; mixed linear model; polygenic selection

Mesh:

Substances:

Year:  2017        PMID: 28373541      PMCID: PMC5402460          DOI: 10.1073/pnas.1617042114

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  42 in total

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Journal:  Proc Natl Acad Sci U S A       Date:  2010-06-07       Impact factor: 11.205

3.  Genetic structure of human populations.

Authors:  Noah A Rosenberg; Jonathan K Pritchard; James L Weber; Howard M Cann; Kenneth K Kidd; Lev A Zhivotovsky; Marcus W Feldman
Journal:  Science       Date:  2002-12-20       Impact factor: 47.728

4.  Genetic evidence for high-altitude adaptation in Tibet.

Authors:  Tatum S Simonson; Yingzhong Yang; Chad D Huff; Haixia Yun; Ga Qin; David J Witherspoon; Zhenzhong Bai; Felipe R Lorenzo; Jinchuan Xing; Lynn B Jorde; Josef T Prchal; RiLi Ge
Journal:  Science       Date:  2010-05-13       Impact factor: 47.728

5.  Principal components analysis corrects for stratification in genome-wide association studies.

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Journal:  Nat Genet       Date:  2006-07-23       Impact factor: 38.330

6.  Two routes to functional adaptation: Tibetan and Andean high-altitude natives.

Authors:  Cynthia M Beall
Journal:  Proc Natl Acad Sci U S A       Date:  2007-05-09       Impact factor: 11.205

7.  Sequencing of 50 human exomes reveals adaptation to high altitude.

Authors:  Xin Yi; 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
Journal:  Science       Date:  2010-07-02       Impact factor: 47.728

8.  The genomic distribution of population substructure in four populations using 8,525 autosomal SNPs.

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Journal:  Hum Genomics       Date:  2004-05       Impact factor: 4.639

9.  The genetics of human adaptation: hard sweeps, soft sweeps, and polygenic adaptation.

Authors:  Jonathan K Pritchard; Joseph K Pickrell; Graham Coop
Journal:  Curr Biol       Date:  2010-02-23       Impact factor: 10.834

10.  A flexible and accurate genotype imputation method for the next generation of genome-wide association studies.

Authors:  Bryan N Howie; Peter Donnelly; Jonathan Marchini
Journal:  PLoS Genet       Date:  2009-06-19       Impact factor: 5.917

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  54 in total

1.  Genetic Screen for Cell Fitness in High or Low Oxygen Highlights Mitochondrial and Lipid Metabolism.

Authors:  Isha H Jain; Sarah E Calvo; Andrew L Markhard; Owen S Skinner; Tsz-Leung To; Tslil Ast; Vamsi K Mootha
Journal:  Cell       Date:  2020-04-06       Impact factor: 41.582

2.  Physiological Genomics of Adaptation to High-Altitude Hypoxia.

Authors:  Jay F Storz; Zachary A Cheviron
Journal:  Annu Rev Anim Biosci       Date:  2020-11-23       Impact factor: 8.923

3.  The uncertainty of population relationship and divergence time inferred by the multiple sequentially Markovian coalescent model.

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Journal:  J Hum Genet       Date:  2018-03-16       Impact factor: 3.172

4.  Ancestry informative DIP loci for dissecting genetic structure and ancestry proportions of Qinghai Tibetan and Tibet Tibetan groups.

Authors:  Xiao-Ye Jin; Chun-Mei Shen; Chong Chen; Yu-Xin Guo; Wei Cui; Yi-Jie Wang; Wen-Qing Zhang; Ting-Ting Kong; Bo-Feng Zhu
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Review 5.  Epigenomics and human adaptation to high altitude.

Authors:  Colleen G Julian
Journal:  J Appl Physiol (1985)       Date:  2017-08-17

Review 6.  The Impact of Early Human Migration on Brown Adipose Tissue Evolution and Its Relevance to the Modern Obesity Pandemic.

Authors:  Dyan Sellayah
Journal:  J Endocr Soc       Date:  2018-12-18

Review 7.  High-altitude adaptation in humans: from genomics to integrative physiology.

Authors:  Priti Azad; Tsering Stobdan; Dan Zhou; Iain Hartley; Ali Akbari; Vineet Bafna; Gabriel G Haddad
Journal:  J Mol Med (Berl)       Date:  2017-09-26       Impact factor: 4.599

Review 8.  Gestational Hypoxia and Developmental Plasticity.

Authors:  Charles A Ducsay; Ravi Goyal; William J Pearce; Sean Wilson; Xiang-Qun Hu; Lubo Zhang
Journal:  Physiol Rev       Date:  2018-07-01       Impact factor: 37.312

9.  Local adaptation of Mycobacterium tuberculosis on the Tibetan Plateau.

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Journal:  Proc Natl Acad Sci U S A       Date:  2021-04-27       Impact factor: 11.205

10.  Heterogeneity in Hematological Parameters of High and Low Altitude Tibetan Populations.

Authors:  Nipa Basak; Tsering Norboo; Mohammed S Mustak; Kumarasamy Thangaraj
Journal:  J Blood Med       Date:  2021-05-17
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