Accession PRJCA000269
Title Mechanism of multi-gene interactions underlying the genetic adaptation to high altitude hypoxia in Tibetan populations
Umbrella project

eGPS: evolutionary Genotype-Phenotype Systems biology

Plateau Adaptability

Study on genetic basis of environmental adaptation in Tibetan Plateau

Data type Transcriptome or Gene expression
Organism Homo sapiens
Description The Tibetan Plateau is the highest mountainous area in the world, an ideal "laboratory" for studying the molecular mechanism of how living organisms adapt to the environmental extreme of high altitude hypoxia. Tibetans, as the indigenous population living in the Tibetan Plateau region have been well-adapted to the high-altitude environment due to longtime natural selection, making them an ideal population for studying adaptation to high-altitude hypoxia in humans. This project aims to dissect the sequence variations and their functions of the 18 candidate genes, selected based on our previous genome-wide analyses in Tibetans, and they are likely involved in hypoxic adaptation. We intend to reveal the strength and timing of natural selection acting on these candidate genes in Tibetans. Combining the approaches of large-sample-size genetic association analysis, gene expression profiling of placenta tissue (an important oxygen-exchange organ), induced hypoxia experiment using endothelial cells and transgenic analysis, we sought to understand "how humans and other organisms have improved their physiological functions through interactions among multiple genes in the genome and developed the ability for high-altitude hypoxia adaptation". The results of this project will shed light on the molecular mechanism of adaptation to high-altitude hypoxia in humans, and will provide valuable genetic data for drug design in order to prevent and cure the high-altitude related diseases, which is crucial not only for basic research , but also for future medical applications.
Sample scope Multispecies
Release date 2016-11-04
PubMed ID Article title Journal name DOI Year
28096303 Down-Regulation of EPAS1 Transcription and Genetic Adaptation of Tibetans to High-Altitude Hypoxia. Molecular biology and evolution 10.1093/molbev/msw280 2017
Submitter Yaoxi    He  (
Organization Kunming Institute of Zoology, CAS
Submission date 2016-09-01

Project Data

Resource name Description
BioSample (72) -
SAMC007184 T4144
SAMC007183 T4067
SAMC007182 T4025
SAMC007181 T3969
SAMC007180 T3942
SAMC007179 T3932
SAMC007178 T3931
SAMC007177 T3911
SAMC007176 T3846
SAMC007175 T3844
SAMC007174 T3840
SAMC007173 T3821
SAMC007172 T3763
SAMC007171 T3760
SAMC007170 T3690
SAMC007169 T3599
SAMC007168 T3594
SAMC007167 T3550
SAMC007166 T3549
SAMC007165 T3544
SAMC007164 T3540
SAMC007163 T3516
SAMC007162 T3505
SAMC007161 T3490
SAMC007160 T3487
SAMC007159 T3447
SAMC007158 T3416
SAMC007157 T3413
SAMC007156 T3403
SAMC007155 lstp11
SAMC007154 lstp10
SAMC007153 Lstp07
SAMC007152 Lstp06
SAMC007151 Lstp05
SAMC007150 lstp03
SAMC007149 Lstp02
SAMC007148 H15
SAMC007147 H11
SAMC007146 4194
SAMC007145 4061
SAMC007144 3957
SAMC007143 3948
SAMC007142 3941
SAMC007141 3929
SAMC007140 3925
SAMC007139 3916
SAMC007138 3912
SAMC007137 3893
SAMC007136 3882
SAMC007135 3876
SAMC007134 3871
SAMC007133 3814
SAMC007132 3800
SAMC007131 3779
SAMC007130 3560
SAMC007129 3468
SAMC007128 3423
SAMC007127 3418
SAMC007126 3405
SAMC007125 3241
SAMC007124 16
SAMC007123 13
SAMC007122 12
SAMC007121 10
SAMC007120 9
SAMC007119 7
SAMC007118 6
SAMC007117 5
SAMC007116 4
SAMC007115 3
SAMC007114 2
SAMC007113 1
GSA (1) -
CRA000126 CRA_126