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Adaptive evolution of loci covarying with the human African Pygmy phenotype

Overview of attention for article published in Human Genetics, March 2012
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2 CiteULike
Title
Adaptive evolution of loci covarying with the human African Pygmy phenotype
Published in
Human Genetics, March 2012
DOI 10.1007/s00439-012-1157-3
Pubmed ID
Authors

Isabel Mendizabal, Urko M. Marigorta, Oscar Lao, David Comas

Abstract

African Pygmies are hunter-gatherer populations from the equatorial rainforest that present the lowest height averages among humans. The biological basis and the putative adaptive role of the short stature of Pygmy populations has been one of the most intriguing topics for human biologists in the last century, which still remains elusive. Worldwide convergent evolution of the Pygmy size suggests the presence of strong selective pressures on the phenotype. We developed a novel approach to survey the genetic architecture of phenotypes and applied it to study the genomic covariation between allele frequencies and height measurements among Pygmy and non-Pygmy populations. Among the regions that were most associated with the phenotype, we identified a significant excess of genes with pivotal roles in bone homeostasis, such as PPPT3B and the height associated SUPT3H-RUNX2. We hypothesize that skeletal remodeling could be a key biological process underlying the Pygmy phenotype. In addition, we showed that these regions have most likely evolved under positive selection. These results constitute the first genetic hint of adaptive evolution in the African Pygmy phenotype, which is consistent with the independent emergence of the Pygmy height in other continents with similar environments.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 3%
Brazil 1 1%
Unknown 64 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 25%
Researcher 12 18%
Student > Bachelor 10 15%
Student > Master 8 12%
Student > Postgraduate 3 4%
Other 10 15%
Unknown 7 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 36 54%
Biochemistry, Genetics and Molecular Biology 10 15%
Medicine and Dentistry 3 4%
Social Sciences 3 4%
Psychology 3 4%
Other 3 4%
Unknown 9 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 14 March 2012.
All research outputs
#20,156,138
of 22,663,969 outputs
Outputs from Human Genetics
#2,811
of 2,948 outputs
Outputs of similar age
#141,177
of 155,896 outputs
Outputs of similar age from Human Genetics
#12
of 13 outputs
Altmetric has tracked 22,663,969 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,948 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.