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Combining omics data to identify genes associated with allergic rhinitis

Overview of attention for article published in Clinical Epigenetics, January 2017
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Title
Combining omics data to identify genes associated with allergic rhinitis
Published in
Clinical Epigenetics, January 2017
DOI 10.1186/s13148-017-0310-1
Pubmed ID
Authors

Andréanne Morin, Michel Laviolette, Tomi Pastinen, Louis-Philippe Boulet, Catherine Laprise

Abstract

Allergic rhinitis is a common chronic disorder characterized by immunoglobulin E-mediated inflammation. To identify new genes associated with this trait, we performed genome- and epigenome-wide association studies and linked marginally significant CpGs located in genes or its promoter and SNPs located 1 Mb from the CpGs, by identifying cis methylation quantitative trait loci (mQTL). This approach relies on functional cellular aspects rather than stringent statistical correction. We were able to identify one gene with significant cis-mQTL for allergic rhinitis, caudal-type homeobox 1 (CDX1). We also identified 11 genes with marginally significant cis-mQTLs (p < 0.05) including one with both allergic rhinitis with or without asthma (RNF39). Moreover, most SNPs identified were not located closest to the gene they were linked to through cis-mQTLs counting the one linked to CDX1 located in a gene previously associated with asthma and atopic dermatitis. By combining omics data, we were able to identify new genes associated with allergic rhinitis and better assess the genes linked to associated SNPs.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 33%
Student > Master 3 17%
Student > Bachelor 3 17%
Student > Ph. D. Student 2 11%
Other 1 6%
Other 1 6%
Unknown 2 11%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 22%
Agricultural and Biological Sciences 2 11%
Medicine and Dentistry 2 11%
Immunology and Microbiology 2 11%
Pharmacology, Toxicology and Pharmaceutical Science 1 6%
Other 4 22%
Unknown 3 17%
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 27 January 2017.
All research outputs
#20,397,576
of 22,947,506 outputs
Outputs from Clinical Epigenetics
#1,117
of 1,260 outputs
Outputs of similar age
#354,221
of 418,466 outputs
Outputs of similar age from Clinical Epigenetics
#19
of 22 outputs
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So far Altmetric has tracked 1,260 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.