Evidence map›Paper›PMID 36980912›Full record

ArticleGenes2023

"What We Know and What We Do Not Know about Evolutionary Genetic Adaptation to High Altitude Hypoxia in Andean Aymaras".

Ricardo Amaru, Jihyun Song, N Scott Reading, Victor R Gordeuk, Josef T Prchal

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Article in Genes, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

5 citing papers in PubMed.

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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

5 authors.

Ricardo AmaruCell Biology Unit, School of Medicine, San Andres University, La Paz 0201, Bolivia.ORCID 0000-0003-2765-9748
Jihyun SongDivision of Hematology, School of Medicine, University of Utah, Salt Lake City, UT 84132, USA.
N Scott ReadingDivision of Hematology, School of Medicine, University of Utah, Salt Lake City, UT 84132, USA.ORCID 0000-0003-0806-5661
Victor R GordeukDepartment of Medicine, University of Illinois at Chicago, Chicago, IL 61820, USA.
Josef T PrchalDivision of Hematology, School of Medicine, University of Utah, Salt Lake City, UT 84132, USA.ORCID 0000-0002-8019-2940

Funding

TRAINING IN CARDIOVASCULAR RESEARCHT32HL007576 · NHLBI · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI Stavros George Drakos, Robin M Shaw · 1985 to 2026
$10.6M
CSRD VA I01 CX001372NHLBI NIH HHS T32 HL007576
6 · The paper itself

Abstract

Three well-studied populations living at high altitudes are Tibetans, Andeans (Aymaras and Quechuas), and Ethiopians. Unlike Tibetans and Ethiopians who have similar hemoglobin (Hb) levels as individuals living at sea level, Aymara Hb levels increase when living at higher altitudes. Our previous whole genome study of Aymara people revealed several selected genes that are involved in cardiovascular functions, but their relationship with Hb levels was not elucidated. Here, we studied the frequencies of known evolutionary-selected variants in Tibetan and Aymara populations and their correlation with high Hb levels in Aymara. We genotyped 177 Aymaras at three different altitudes: 400 m (Santa Cruz), 4000 m (La Paz), and 5000 m (Chorolque), and correlated the results with the elevation of residence. Some of the Tibetan-selected variants also exist in Aymaras, but at a lower prevalence. Two of 10 Tibetan selected variants of

Indexed as

Altitude SicknessAcclimatizationAdaptation, PhysiologicalAdaptor Proteins, Signal TransducingBasic Helix-Loop-Helix ProteinsFemaleHumansHypoxiaAdaptor Proteins, Signal TransducingBasic Helix-Loop-Helix ProteinsSH2B1 protein, humanadaptionAymaraerythrocytosishigh altitudeSNPs

Identifiers

PMID36980912
PMCPMC10048644

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Textfull text, public
LicenceCC BY
measurements read41
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.