Literature DB >> 20961960

A genome-wide search for signals of high-altitude adaptation in Tibetans.

Shuhua Xu1, Shilin Li, Yajun Yang, Jingze Tan, Haiyi Lou, Wenfei Jin, Ling Yang, Xuedong Pan, Jiucun Wang, Yiping Shen, Bailin Wu, Hongyan Wang, Li Jin.   

Abstract

Genetic studies of Tibetans, an ethnic group with a long-lasting presence on the Tibetan Plateau which is known as the highest plateau in the world, may offer a unique opportunity to understand the biological adaptations of human beings to high-altitude environments. We conducted a genome-wide study of 1,000,000 genetic variants in 46 Tibetans (TBN) and 92 Han Chinese (HAN) for identifying the signals of high-altitude adaptations (HAAs) in Tibetan genomes. We discovered the most differentiated variants between TBN and HAN at chromosome 1q42.2 and 2p21. EGLN1 (or HIFPH2, MIM 606425) and EPAS1 (or HIF2A, MIM 603349), both related to hypoxia-inducible factor, were found most differentiated in the two regions, respectively. Strong positive correlations were also observed between the frequency of TBN-dominant haplotypes in the two gene regions and altitude in East Asian populations. Linkage disequilibrium and further haplotype network analyses of world-wide populations suggested the antiquity of the TBN-dominant haplotypes and long-term persistence of the natural selection. Finally, a "dominant haplotype carrier" hypothesis could describe the role of the two genes in HAA. All of our population genomic and statistical analyses indicate that EPAS1 and EGLN1 are most likely responsible for HAA of Tibetans. Interestingly, one each but not both of the two genes were also identified by three recent studies. We reanalyzed the available data and found the escaped top signal (EPAS1) could be recaptured with data quality control and our approaches. Based on this experience, we call for more attention to be paid to controlling data quality and batch effects introduced in public data integration. Our results also suggest limitations of extended haplotype homozygosity-based method due to its compromised power in case the natural selection initiated long time ago and particularly in genomic regions with recombination hotspots.

Entities:  

Mesh:

Substances:

Year:  2010        PMID: 20961960     DOI: 10.1093/molbev/msq277

Source DB:  PubMed          Journal:  Mol Biol Evol        ISSN: 0737-4038            Impact factor:   16.240


  131 in total

1.  Metabolic insight into mechanisms of high-altitude adaptation in Tibetans.

Authors:  Ri-Li Ge; Tatum S Simonson; Robert C Cooksey; Uran Tanna; Ga Qin; Chad D Huff; David J Witherspoon; Jinchuan Xing; Bai Zhengzhong; Josef T Prchal; Lynn B Jorde; Donald A McClain
Journal:  Mol Genet Metab       Date:  2012-03-17       Impact factor: 4.797

Review 2.  Population genetic studies in the genomic sequencing era.

Authors:  Hua Chen
Journal:  Dongwuxue Yanjiu       Date:  2015-07-18

Review 3.  Genetic determinants of Tibetan high-altitude adaptation.

Authors:  Tatum S Simonson; Donald A McClain; Lynn B Jorde; Josef T Prchal
Journal:  Hum Genet       Date:  2011-11-09       Impact factor: 4.132

4.  Whole-genome sequencing uncovers the genetic basis of chronic mountain sickness in Andean highlanders.

Authors:  Dan Zhou; Nitin Udpa; Roy Ronen; Tsering Stobdan; Junbin Liang; Otto Appenzeller; Huiwen W Zhao; Yi Yin; Yuanping Du; Lixia Guo; Rui Cao; Yu Wang; Xin Jin; Chen Huang; Wenlong Jia; Dandan Cao; Guangwu Guo; Jorge L Gamboa; Francisco Villafuerte; David Callacondo; Jin Xue; Siqi Liu; Kelly A Frazer; Yingrui Li; Vineet Bafna; Gabriel G Haddad
Journal:  Am J Hum Genet       Date:  2013-08-15       Impact factor: 11.025

5.  Widespread signals of convergent adaptation to high altitude in Asia and america.

Authors:  Matthieu Foll; Oscar E Gaggiotti; Josephine T Daub; Alexandra Vatsiou; Laurent Excoffier
Journal:  Am J Hum Genet       Date:  2014-09-25       Impact factor: 11.025

Review 6.  Altitude Adaptation: A Glimpse Through Various Lenses.

Authors:  Tatum S Simonson
Journal:  High Alt Med Biol       Date:  2015-06       Impact factor: 1.981

Review 7.  Genetic approaches in comparative and evolutionary physiology.

Authors:  Jay F Storz; Jamie T Bridgham; Scott A Kelly; Theodore Garland
Journal:  Am J Physiol Regul Integr Comp Physiol       Date:  2015-06-03       Impact factor: 3.619

Review 8.  The genetic basis of chronic mountain sickness.

Authors:  Roy Ronen; Dan Zhou; Vineet Bafna; Gabriel G Haddad
Journal:  Physiology (Bethesda)       Date:  2014-11

9.  Characterising private and shared signatures of positive selection in 37 Asian populations.

Authors:  Xuanyao Liu; Dongsheng Lu; Woei-Yuh Saw; Philip J Shaw; Pongsakorn Wangkumhang; Chumpol Ngamphiw; Suthat Fucharoen; Worachart Lert-Itthiporn; Kwanrutai Chin-Inmanu; Tran Nguyen Bich Chau; Katie Anders; Anuradhani Kasturiratne; H Janaka de Silva; Tomohiro Katsuya; Ryosuke Kimura; Toru Nabika; Takayoshi Ohkubo; Yasuharu Tabara; Fumihiko Takeuchi; Ken Yamamoto; Mitsuhiro Yokota; Dolikun Mamatyusupu; Wenjun Yang; Yeun-Jun Chung; Li Jin; Boon-Peng Hoh; Ananda R Wickremasinghe; RickTwee-Hee Ong; Chiea-Chuen Khor; Sarah J Dunstan; Cameron Simmons; Sissades Tongsima; Prapat Suriyaphol; Norihiro Kato; Shuhua Xu; Yik-Ying Teo
Journal:  Eur J Hum Genet       Date:  2017-01-18       Impact factor: 4.246

Review 10.  Measuring high-altitude adaptation.

Authors:  Lorna G Moore
Journal:  J Appl Physiol (1985)       Date:  2017-08-31
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.