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A Genome-Wide Gene Expression Signature of Environmental Geography in Leukocytes of Moroccan Amazighs

Overview of attention for article published in PLoS Genetics, April 2008
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Title
A Genome-Wide Gene Expression Signature of Environmental Geography in Leukocytes of Moroccan Amazighs
Published in
PLoS Genetics, April 2008
DOI 10.1371/journal.pgen.1000052
Pubmed ID
Authors

Youssef Idaghdour, John D. Storey, Sami J. Jadallah, Greg Gibson

Abstract

The different environments that humans experience are likely to impact physiology and disease susceptibility. In order to estimate the magnitude of the impact of environment on transcript abundance, we examined gene expression in peripheral blood leukocyte samples from 46 desert nomadic, mountain agrarian and coastal urban Moroccan Amazigh individuals. Despite great expression heterogeneity in humans, as much as one third of the leukocyte transcriptome was found to be associated with differences among regions. Genome-wide polymorphism analysis indicates that genetic differentiation in the total sample is limited and is unlikely to explain the expression divergence. Methylation profiling of 1,505 CpG sites suggests limited contribution of methylation to the observed differences in gene expression. Genetic network analysis further implies that specific aspects of immune function are strongly affected by regional factors and may influence susceptibility to respiratory and inflammatory disease. Our results show a strong genome-wide gene expression signature of regional population differences that presumably include lifestyle, geography, and biotic factors, implying that these can play at least as great a role as genetic divergence in modulating gene expression variation in humans.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 135 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 4%
Uruguay 2 1%
United Kingdom 2 1%
Spain 1 <1%
Sweden 1 <1%
Unknown 124 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 32 24%
Student > Ph. D. Student 29 21%
Professor 15 11%
Professor > Associate Professor 14 10%
Student > Master 13 10%
Other 24 18%
Unknown 8 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 86 64%
Biochemistry, Genetics and Molecular Biology 12 9%
Medicine and Dentistry 6 4%
Social Sciences 5 4%
Environmental Science 4 3%
Other 9 7%
Unknown 13 10%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 21 February 2014.
All research outputs
#15,184,741
of 25,394,764 outputs
Outputs from PLoS Genetics
#6,346
of 8,960 outputs
Outputs of similar age
#79,993
of 95,658 outputs
Outputs of similar age from PLoS Genetics
#37
of 47 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,960 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.7. This one is in the 27th percentile – i.e., 27% of its peers scored the same or lower than it.
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We're also able to compare this research output to 47 others from the same source and published within six weeks on either side of this one. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.