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Exploring signatures of positive selection in pigmentation candidate genes in populations of East Asian ancestry

Overview of attention for article published in BMC Ecology and Evolution, July 2013
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Title
Exploring signatures of positive selection in pigmentation candidate genes in populations of East Asian ancestry
Published in
BMC Ecology and Evolution, July 2013
DOI 10.1186/1471-2148-13-150
Pubmed ID
Authors

Jessica L Hider, Rachel M Gittelman, Tapan Shah, Melissa Edwards, Arnold Rosenbloom, Joshua M Akey, Esteban J Parra

Abstract

Currently, there is very limited knowledge about the genes involved in normal pigmentation variation in East Asian populations. We carried out a genome-wide scan of signatures of positive selection using the 1000 Genomes Phase I dataset, in order to identify pigmentation genes showing putative signatures of selective sweeps in East Asia. We applied a broad range of methods to detect signatures of selection including: 1) Tests designed to identify deviations of the Site Frequency Spectrum (SFS) from neutral expectations (Tajima's D, Fay and Wu's H and Fu and Li's D* and F*), 2) Tests focused on the identification of high-frequency haplotypes with extended linkage disequilibrium (iHS and Rsb) and 3) Tests based on genetic differentiation between populations (LSBL). Based on the results obtained from a genome wide analysis of 25 kb windows, we constructed an empirical distribution for each statistic across all windows, and identified pigmentation genes that are outliers in the distribution.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 114 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 2%
United States 2 2%
Canada 1 <1%
Unknown 109 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 21 18%
Student > Ph. D. Student 17 15%
Student > Bachelor 15 13%
Student > Master 11 10%
Professor > Associate Professor 9 8%
Other 19 17%
Unknown 22 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 51 45%
Biochemistry, Genetics and Molecular Biology 19 17%
Medicine and Dentistry 4 4%
Social Sciences 3 3%
Psychology 3 3%
Other 9 8%
Unknown 25 22%
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 16 July 2013.
All research outputs
#19,945,185
of 25,374,917 outputs
Outputs from BMC Ecology and Evolution
#3,171
of 3,714 outputs
Outputs of similar age
#150,761
of 207,026 outputs
Outputs of similar age from BMC Ecology and Evolution
#54
of 61 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,714 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.5. This one is in the 12th percentile – i.e., 12% of its peers scored the same or lower than it.
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We're also able to compare this research output to 61 others from the same source and published within six weeks on either side of this one. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.