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Computer simulation of human leukocyte antigen genes supports two main routes of colonization by human populations in East Asia

Overview of attention for article published in BMC Ecology and Evolution, November 2015
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  • Good Attention Score compared to outputs of the same age (69th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (52nd percentile)

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3 X users
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4 Wikipedia pages

Citations

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19 Dimensions

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20 Mendeley
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Title
Computer simulation of human leukocyte antigen genes supports two main routes of colonization by human populations in East Asia
Published in
BMC Ecology and Evolution, November 2015
DOI 10.1186/s12862-015-0512-0
Pubmed ID
Authors

Da Di, Alicia Sanchez-Mazas, Mathias Currat

Abstract

Recent genetic studies have suggested that the colonization of East Asia by modern humans was more complex than a single origin from the South, and that a genetic contribution via a Northern route was probably quite substantial. Here we use a spatially-explicit computer simulation approach to investigate the human migration hypotheses of this region based on one-route or two-route models. We test the likelihood of each scenario by using Human Leukocyte Antigen (HLA) - A, -B, and - DRB1 genetic data of East Asian populations, with both selective and demographic parameters considered. The posterior distribution of each parameter is estimated by an Approximate Bayesian Computation (ABC) approach. Our results strongly support a model with two main routes of colonization of East Asia on both sides of the Himalayas, with distinct demographic histories in Northern and Southern populations, characterized by more isolation in the South. In East Asia, gene flow between populations originating from the two routes probably existed until a remote prehistoric period, explaining the continuous pattern of genetic variation currently observed along the latitude. A significant although dissimilar level of balancing selection acting on the three HLA loci is detected, but its effect on the local genetic patterns appears to be minor compared to those of past demographic events.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 40%
Researcher 5 25%
Student > Bachelor 2 10%
Librarian 1 5%
Student > Master 1 5%
Other 1 5%
Unknown 2 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 9 45%
Biochemistry, Genetics and Molecular Biology 2 10%
Medicine and Dentistry 2 10%
Computer Science 1 5%
Environmental Science 1 5%
Other 0 0%
Unknown 5 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 09 March 2024.
All research outputs
#7,457,522
of 25,663,438 outputs
Outputs from BMC Ecology and Evolution
#1,682
of 3,720 outputs
Outputs of similar age
#87,031
of 297,420 outputs
Outputs of similar age from BMC Ecology and Evolution
#30
of 74 outputs
Altmetric has tracked 25,663,438 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 3,720 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.5. This one has gotten more attention than average, scoring higher than 52% 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 297,420 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.
We're also able to compare this research output to 74 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.