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Impact of common regulatory single-nucleotide variants on gene expression profiles in whole blood

Overview of attention for article published in European Journal of Human Genetics, June 2012
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Title
Impact of common regulatory single-nucleotide variants on gene expression profiles in whole blood
Published in
European Journal of Human Genetics, June 2012
DOI 10.1038/ejhg.2012.106
Pubmed ID
Authors

Divya Mehta, Katharina Heim, Christian Herder, Maren Carstensen, Gertrud Eckstein, Claudia Schurmann, Georg Homuth, Matthias Nauck, Uwe Völker, Michael Roden, Thomas Illig, Christian Gieger, Thomas Meitinger, Holger Prokisch

Abstract

Genome-wide association studies (GWASs) have uncovered susceptibility loci for a large number of complex traits. Functional interpretation of candidate genes identified by GWAS and confident assignment of the causal variant still remains a major challenge. Expression quantitative trait (eQTL) mapping has facilitated identification of risk loci for quantitative traits and might allow prioritization of GWAS candidate genes. One major challenge of eQTL studies is the need for larger sample numbers and replication. The aim of this study was to evaluate the robustness and reproducibility of whole-blood eQTLs in humans and test their value in the identification of putative functional variants involved in the etiology of complex traits. In the current study, we performed comphrehensive eQTL mapping from whole blood. The discovery sample included 322 Caucasians from a general population sample (KORA F3). We identified 363 cis and 8 trans eQTLs after stringent Bonferroni correction for multiple testing. Of these, 98.6% and 50% of cis and trans eQTLs, respectively, could be replicated in two independent populations (KORA F4 (n=740) and SHIP-TREND (n=653)). Furthermore, we identified evidence of regulatory variation for SNPs previously reported to be associated with disease loci (n=59) or quantitative trait loci (n=20), indicating a possible functional mechanism for these eSNPs. Our data demonstrate that eQTLs in whole blood are highly robust and reproducible across studies and highlight the relevance of whole-blood eQTL mapping in prioritization of GWAS candidate genes in humans.

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Geographical breakdown

Country Count As %
United States 3 3%
France 1 1%
Netherlands 1 1%
New Zealand 1 1%
United Kingdom 1 1%
Unknown 81 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 27 31%
Researcher 25 28%
Student > Master 6 7%
Student > Bachelor 6 7%
Professor 5 6%
Other 13 15%
Unknown 6 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 40 45%
Medicine and Dentistry 13 15%
Biochemistry, Genetics and Molecular Biology 12 14%
Immunology and Microbiology 3 3%
Computer Science 2 2%
Other 7 8%
Unknown 11 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 15 June 2012.
All research outputs
#18,308,895
of 22,668,244 outputs
Outputs from European Journal of Human Genetics
#3,081
of 3,410 outputs
Outputs of similar age
#128,966
of 167,239 outputs
Outputs of similar age from European Journal of Human Genetics
#40
of 60 outputs
Altmetric has tracked 22,668,244 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,410 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.8. This one is in the 3rd percentile – i.e., 3% of its peers scored the same or lower than it.
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We're also able to compare this research output to 60 others from the same source and published within six weeks on either side of this one. This one is in the 6th percentile – i.e., 6% of its contemporaries scored the same or lower than it.