Evidence map›Paper›PMID 33751123›Full record

ReviewMolecular biology and evolution2021

High-Altitude Adaptation: Mechanistic Insights from Integrated Genomics and Physiology.

Jay F Storz

Abstract readReview
In one paragraph

Review in Molecular biology and evolution, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 91 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
91citing papers in PubMed, 1 pooled it
–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

91 citing papers in PubMed, 1 synthesis or guideline pooled it.

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31 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

1 author.

Jay F StorzSchool of Biological Sciences, University of Nebraska, Lincoln, NE, USA.ORCID 0000-0001-5448-7924

Funding

Mutational Pleiotropy, Epistasis, and the Adaptive Evolution of Hemoglobin FunctionR01HL087216 · NHLBI · UNIVERSITY OF NEBRASKA LINCOLN · PI STORZ, JAY · 2008 to 2021
$4.5M
NHLBI NIH HHS R01 HL087216
6 · The paper itself

Abstract

Population genomic analyses of high-altitude humans and other vertebrates have identified numerous candidate genes for hypoxia adaptation, and the physiological pathways implicated by such analyses suggest testable hypotheses about underlying mechanisms. Studies of highland natives that integrate genomic data with experimental measures of physiological performance capacities and subordinate traits are revealing associations between genotypes (e.g., hypoxia-inducible factor gene variants) and hypoxia-responsive phenotypes. The subsequent search for causal mechanisms is complicated by the fact that observed genotypic associations with hypoxia-induced phenotypes may reflect second-order consequences of selection-mediated changes in other (unmeasured) traits that are coupled with the focal trait via feedback regulation. Manipulative experiments to decipher circuits of feedback control and patterns of phenotypic integration can help identify causal relationships that underlie observed genotype-phenotype associations. Such experiments are critical for correct inferences about phenotypic targets of selection and mechanisms of adaptation.

Indexed as

AltitudeHypoxiaPhenotypeSelection, GeneticAdaptation, BiologicalAnimalsBasic Helix-Loop-Helix ProteinsBiological EvolutionEndothelial PAS Domain-Containing Protein 1FemaleGenetic FitnessHemoglobinsHumansHypoxia-Inducible Factor-Proline DioxygenasesMetagenomicsOxygen ConsumptionBasic Helix-Loop-Helix ProteinsEGLN1 protein, humanEndothelial PAS Domain-Containing Protein 1HemoglobinsHypoxia-Inducible Factor-Proline DioxygenasesadaptationaltitudeEPAS1genotype–phenotype associationhypoxiahypoxia-inducible factor

Identifiers

PMID33751123
PMCPMC8233491

What Socratic holds

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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 Socratic graph.