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Identifying positive selection candidate loci for high-altitude adaptation in Andean populations

Overview of attention for article published in Human Genomics, December 2009
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (86th percentile)

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161 Mendeley
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Title
Identifying positive selection candidate loci for high-altitude adaptation in Andean populations
Published in
Human Genomics, December 2009
DOI 10.1186/1479-7364-4-2-79
Pubmed ID
Authors

Abigail W. Bigham, Xianyun Mao, Rui Mei, Tom Brutsaert, Megan J. Wilson, Colleen Glyde Julian, Esteban J. Parra, Joshua M. Akey, Lorna G. Moore, Mark D. Shriver

Abstract

High-altitude environments (>2,500 m) provide scientists with a natural laboratory to study the physiological and genetic effects of low ambient oxygen tension on human populations. One approach to understanding how life at high altitude has affected human metabolism is to survey genome-wide datasets for signatures of natural selection. In this work, we report on a study to identify selection-nominated candidate genes involved in adaptation to hypoxia in one highland group, Andeans from the South American Altiplano. We analysed dense microarray genotype data using four test statistics that detect departures from neutrality. Using a candidate gene, single nucleotide polymorphism-based approach, we identified genes exhibiting preliminary evidence of recent genetic adaptation in this population. These included genes that are part of the hypoxia-inducible transcription factor ( HIF ) pathway, a biochemical pathway involved in oxygen homeostasis, as well as three other genomic regions previously not known to be associated with high-altitude phenotypes. In addition to identifying selection-nominated candidate genes, we also tested whether the HIF pathway shows evidence of natural selection. Our results indicate that the genes of this biochemical pathway as a group show no evidence of having evolved in response to hypoxia in Andeans. Results from particular HIF -targeted genes, however, suggest that genes in this pathway could play a role in Andean adaptation to high altitude, even if the pathway as a whole does not show higher relative rates of evolution. These data suggest a genetic role in high-altitude adaptation and provide a basis for genotype/phenotype association studies that are necessary to confirm the role of putative natural selection candidate genes and gene regions in adaptation to altitude.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 161 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 2%
Germany 1 <1%
Chile 1 <1%
United Kingdom 1 <1%
Brazil 1 <1%
Belgium 1 <1%
Canada 1 <1%
Unknown 152 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 33 20%
Student > Bachelor 23 14%
Researcher 22 14%
Student > Master 16 10%
Student > Doctoral Student 10 6%
Other 29 18%
Unknown 28 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 62 39%
Biochemistry, Genetics and Molecular Biology 28 17%
Medicine and Dentistry 13 8%
Social Sciences 10 6%
Arts and Humanities 3 2%
Other 10 6%
Unknown 35 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 23 November 2021.
All research outputs
#4,313,334
of 25,377,790 outputs
Outputs from Human Genomics
#109
of 564 outputs
Outputs of similar age
#22,975
of 176,968 outputs
Outputs of similar age from Human Genomics
#1
of 3 outputs
Altmetric has tracked 25,377,790 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 564 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one has done well, scoring higher than 80% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 176,968 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them