Evidence map›Paper›PMID 33004791›Full record

ArticleNature communications2020

Chromatin accessibility landscape and regulatory network of high-altitude hypoxia adaptation.

Jingxue Xin, Hui Zhang, Yaoxi He, Zhana Duren, Caijuan Bai, Lang Chen, Xin Luo, Dong-Sheng Yan, Chaoyu Zhang, Xiang Zhu and 8 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 70 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
70citing papers in PubMed, 1 pooled it
12.8field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

70 citing papers in PubMed, 1 synthesis or guideline pooled it, 111 citations in OpenAlex.

  1. Pooled it
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  19. Genetic adaptations shaping survival, pregnancy, and life at high altitude and sea level.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025
    Review
  20. Article

10 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

18 authors at 7 institutions in 2 countries.

Jingxue Xin *State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, 650223, Kunming, China.
Hui Zhang *State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, 650223, Kunming, China.
Yaoxi He *State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, 650223, Kunming, China.ORCID http://orcid.org/0000-0003-3324-3239
Zhana Duren *Departments of Statistics, Stanford University, Stanford, CA, 94305, USA.
Caijuan Bai *High Altitude Medical Research Center, School of Medicine, Tibetan University, 850000, Lhasa, China.
Lang ChenCEMS, NCMIS, MDIS, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, 100190, Beijing, China.
Xin LuoState Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, 650223, Kunming, China.
Dong-Sheng YanSchool of Mathematical Science, Inner Mongolia University, 010021, Huhhot, China.
Chaoyu ZhangCEMS, NCMIS, MDIS, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, 100190, Beijing, China.
Xiang ZhuDepartments of Statistics, Stanford University, Stanford, CA, 94305, USA.ORCID http://orcid.org/0000-0003-1134-6413
Qiuyue YuanCEMS, NCMIS, MDIS, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, 100190, Beijing, China.
Zhanying FengCEMS, NCMIS, MDIS, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, 100190, Beijing, China.ORCID http://orcid.org/0000-0002-5727-3929
Chaoying CuiHigh Altitude Medical Research Center, School of Medicine, Tibetan University, 850000, Lhasa, China.
Xuebin QiState Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, 650223, Kunming, China.ORCID http://orcid.org/0000-0002-7883-4983
OuzhuluobuHigh Altitude Medical Research Center, School of Medicine, Tibetan University, 850000, Lhasa, China.
Wing Hung WongBio-X Program, Stanford University, Stanford, CA, 94305, USA. whwong@stanford.edu.ORCID http://orcid.org/0000-0001-7466-2339
Yong WangCEMS, NCMIS, MDIS, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, 100190, Beijing, China. ywang@amss.ac.cn.ORCID http://orcid.org/0000-0003-0695-5273
Bing SuState Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, 650223, Kunming, China. sub@mail.kiz.ac.cn.ORCID http://orcid.org/0000-0002-4379-9014
Kunming Institute of Zoology · CNChinese Academy of Sciences · CNTibetan Traditional Medical College · CNCenter for Human Genetics · USInner Mongolia University · CNStanford Medicine · USStanford University · US

Funding

Special EquipmentP50HG007735 · NHGRI · STANFORD UNIVERSITY · PI CHANG, HOWARD Y · 2014 to 2018
$15.2M
Center for Personal Dynamic RegulomesRM1HG007735 · NHGRI · STANFORD UNIVERSITY · PI CHANG, HOWARD Y · 2019 to 2023
$13.8M
Statistical methods for gene regulatory analysis and single cell genomicsR01HG010359 · NHGRI · STANFORD UNIVERSITY · PI WONG, WING H. · 2019 to 2022
$1.5M
Multivariate statistical methods, flow cytometry, and network modeling.R01GM109836 · NIGMS · STANFORD UNIVERSITY · PI WONG, WING H. · 2014 to 2017
$1.2M
NHGRI NIH HHS P50 HG007735NHGRI NIH HHS R01 HG010359NHGRI NIH HHS RM1 HG007735NIGMS NIH HHS R01 GM109836
6 · The paper itself

Abstract

High-altitude adaptation of Tibetans represents a remarkable case of natural selection during recent human evolution. Previous genome-wide scans found many non-coding variants under selection, suggesting a pressing need to understand the functional role of non-coding regulatory elements (REs). Here, we generate time courses of paired ATAC-seq and RNA-seq data on cultured HUVECs under hypoxic and normoxic conditions. We further develop a variant interpretation methodology (vPECA) to identify active selected REs (ASREs) and associated regulatory network. We discover three causal SNPs of EPAS1, the key adaptive gene for Tibetans. These SNPs decrease the accessibility of ASREs with weakened binding strength of relevant TFs, and cooperatively down-regulate EPAS1 expression. We further construct the downstream network of EPAS1, elucidating its roles in hypoxic response and angiogenesis. Collectively, we provide a systematic approach to interpret phenotype-associated noncoding variants in proper cell types and relevant dynamic conditions, to model their impact on gene regulation.

Indexed as

Gene Regulatory NetworksModels, GeneticAcclimatizationAltitudeAltitude SicknessBasic Helix-Loop-Helix ProteinsCell HypoxiaCells, CulturedChromatinChromatin Immunoprecipitation SequencingDisease ResistanceEndothelial PAS Domain-Containing Protein 1EthnicityFemaleGene Expression RegulationHumansBasic Helix-Loop-Helix ProteinsChromatinEndothelial PAS Domain-Containing Protein 1OxygenTranscription Factors

Identifiers

PMID33004791
PMCPMC7529806
OpenAlexW3090242716

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.