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Genetic control of gene expression in whole blood and lymphoblastoid cell lines is largely independent

Overview of attention for article published in Genome Research, December 2011
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Title
Genetic control of gene expression in whole blood and lymphoblastoid cell lines is largely independent
Published in
Genome Research, December 2011
DOI 10.1101/gr.126540.111
Pubmed ID
Authors

Joseph E. Powell, Anjali K. Henders, Allan F. McRae, Margaret J. Wright, Nicholas G. Martin, Emmanouil T. Dermitzakis, Grant W. Montgomery, Peter M. Visscher

Abstract

The degree to which the level of genetic variation for gene expression is shared across multiple tissues has important implications for research investigating the role of expression on the etiology of complex human traits and diseases. In the last few years, several studies have been published reporting the extent of overlap in expression quantitative trait loci (eQTL) identified in multiple tissues or cell types. Although these studies provide important information on the regulatory control of genes across tissues, their limited power means that they can typically only explain a small proportion of genetic variation for gene expression. Here, using expression data from monozygotic twins (MZ), we investigate the genetic control of gene expression in lymphoblastoid cell lines (LCL) and whole blood (WB). We estimate the genetic correlation that represents the combined effects of all causal loci across the whole genome and is a measure of the level of common genetic control of gene expression between the two RNA sources. Our results show that, when averaged across the genome, mean levels of genetic correlation for gene expression in LCL and WB samples are close to zero. We support our results with evidence from gene expression in an independent sample of LCL, T-cells, and fibroblasts. In addition, we provide evidence that housekeeping genes, which maintain basic cellular functions, are more likely to have high genetic correlations between the RNA sources than non-housekeeping genes, implying a relationship between the transcript function and the degree to which a gene has tissue-specific genetic regulatory control.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 137 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 9 7%
United Kingdom 2 1%
Canada 1 <1%
France 1 <1%
Mexico 1 <1%
New Zealand 1 <1%
Spain 1 <1%
Russia 1 <1%
Unknown 120 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 44 32%
Researcher 40 29%
Professor > Associate Professor 11 8%
Professor 9 7%
Student > Master 9 7%
Other 13 9%
Unknown 11 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 82 60%
Biochemistry, Genetics and Molecular Biology 20 15%
Medicine and Dentistry 7 5%
Mathematics 4 3%
Computer Science 4 3%
Other 6 4%
Unknown 14 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 09 March 2012.
All research outputs
#16,046,765
of 25,373,627 outputs
Outputs from Genome Research
#3,951
of 4,425 outputs
Outputs of similar age
#162,722
of 248,699 outputs
Outputs of similar age from Genome Research
#46
of 55 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,425 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.3. This one is in the 9th percentile – i.e., 9% of its peers scored the same or lower than it.
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 248,699 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 55 others from the same source and published within six weeks on either side of this one. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.