Evidence map›Paper›PMID 29029226›Full record

ArticleMolecular biology and evolution2017

New Insights into the Genetic Basis of Monge's Disease and Adaptation to High-Altitude.

Tsering Stobdan, Ali Akbari, Priti Azad, Dan Zhou, Orit Poulsen, Otto Appenzeller, Gustavo F Gonzales, Amalio Telenti, Emily H M Wong, Shubham Saini and 4 more

Open access · bronzeAbstract read
In one paragraph

Article in Molecular biology and evolution, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

28 citing papers in PubMed, 37 citations in OpenAlex.

  1. Review
  2. Article
  3. Advances in Understanding Adaptive Hemoglobin Concentration at High Altitude.American journal of human biology : the official journal of the Human Biology Council · 2025
    Article
  4. Review
  5. Altitude illnesses.Nature reviews. Disease primers · 2024
    Review
  6. FunctionalScience advances · 2024
    Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Review
  15. Article
  16. Article
  17. Article
  18. Same total normal forms sperm counts of males from Lhasa and Shanghai, China.Environmental science and pollution research international · 2022
    Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors at 5 institutions in 2 countries.

Tsering StobdanDivision of Respiratory Medicine, Department of Pediatrics, University of California, San Diego, La Jolla, CA.
Ali AkbariDepartment of Electrical & Computer Engineering, University of California, San Diego, La Jolla, CA.
Priti AzadDivision of Respiratory Medicine, Department of Pediatrics, University of California, San Diego, La Jolla, CA.
Dan ZhouDivision of Respiratory Medicine, Department of Pediatrics, University of California, San Diego, La Jolla, CA.
Orit PoulsenDivision of Respiratory Medicine, Department of Pediatrics, University of California, San Diego, La Jolla, CA.
Otto AppenzellerDepartment of Neurology, New Mexico Health Enhancement and Marathon Clinics Research Foundation, Albuquerque, NM.
Gustavo F GonzalesHigh Altitude Research Institute and Department of Biological and Physiological Sciences, Faculty of Sciences and Philosophy, Universidad Peruana Cayetano Heredia, Lima, Peru.
Amalio TelentiHuman Longevity Inc., San Diego, CA.
Emily H M WongHuman Longevity Inc., San Diego, CA.
Shubham SainiDepartment of Computer Science & Engineering, University of California, San Diego, La Jolla, CA.
Ewen F KirknessHuman Longevity Inc., San Diego, CA.
J Craig VenterHuman Longevity Inc., San Diego, CA.
Vineet BafnaDepartment of Computer Science & Engineering, University of California, San Diego, La Jolla, CA.
Gabriel G HaddadDivision of Respiratory Medicine, Department of Pediatrics, University of California, San Diego, La Jolla, CA.
University of California, San Diego · USHuman Longevity (United States) · USJ. Craig Venter Institute · USMarathon Oil (United States) · USUniversidad Peruana Cayetano Heredia · PE

Funding

Computational methods for detecting patterns of complex genomic variationR01GM114362 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Vineet Bafna · 2016 to 2026
$3.1M
Endothelin receptors modulate cardiorespiratory function during hypoxiaR01HL127403 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI HADDAD, GABRIEL G · 2016 to 2019
$1.6M
NHLBI NIH HHS R01 HL127403NIGMS NIH HHS R01 GM114362
6 · The paper itself

Abstract

Human high-altitude (HA) adaptation or mal-adaptation is explored to understand the physiology, pathophysiology, and molecular mechanisms that underlie long-term exposure to hypoxia. Here, we report the results of an analysis of the largest whole-genome-sequencing of Chronic Mountain Sickness (CMS) and nonCMS individuals, identified candidate genes and functionally validated these candidates in a genetic model system (Drosophila). We used PreCIOSS algorithm that uses Haplotype Allele Frequency score to separate haplotypes carrying the favored allele from the noncarriers and accordingly, prioritize genes associated with the CMS or nonCMS phenotype. Haplotypes in eleven candidate regions, with SNPs mostly in nonexonic regions, were significantly different between CMS and nonCMS subjects. Closer examination of individual genes in these regions revealed the involvement of previously identified candidates (e.g., SENP1) and also unreported ones SGK3, COPS5, PRDM1, and IFT122 in CMS. Remarkably, in addition to genes like SENP1, SGK3, and COPS5 which are HIF-dependent, our study reveals for the first time HIF-independent gene PRDM1, indicating an involvement of wider, nonHIF pathways in HA adaptation. Finally, we observed that down-regulating orthologs of these genes in Drosophila significantly enhanced their hypoxia tolerance. Taken together, the PreCIOSS algorithm, applied on a large number of genomes, identifies the involvement of both new and previously reported genes in selection sweeps, highlighting the involvement of multiple hypoxia response systems. Since the overwhelming majority of SNPs are in nonexonic (and possibly regulatory) regions, we speculate that adaptation to HA necessitates greater genetic flexibility allowing for transcript variability in response to graded levels of hypoxia.

Indexed as

AcclimatizationAdaptation, PhysiologicalAdultAllelesAltitudeAltitude SicknessAnimalsChronic DiseaseDrosophilaEvolution, MolecularGene FrequencyHaplotypesHumansHypoxiaMalePeruPositive Regulatory Domain I-Binding Factor 1PRDM1 protein, humanadaptationChronic Mountain Sicknesshigh-altitudehypoxiaMonge's diseaseselection sweep

Identifiers

PMID29029226
PMCPMC5850797
OpenAlexW2754751599

What OpenQuestion holds

Textmetadata
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.