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Integrative information theoretic network analysis for genome-wide association study of aspirin exacerbated respiratory disease in Korean population

Overview of attention for article published in BMC Medical Genomics, May 2017
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Title
Integrative information theoretic network analysis for genome-wide association study of aspirin exacerbated respiratory disease in Korean population
Published in
BMC Medical Genomics, May 2017
DOI 10.1186/s12920-017-0266-1
Pubmed ID
Authors

Sehee Wang, Hyun-hwan Jeong, Dokyoon Kim, Kyubum Wee, Hae-Sim Park, Seung-Hyun Kim, Kyung-Ah Sohn

Abstract

Aspirin Exacerbated Respiratory Disease (AERD) is a chronic medical condition that encompasses asthma, nasal polyposis, and hypersensitivity to aspirin and other non-steroidal anti-inflammatory drugs. Several previous studies have shown that part of the genetic effects of the disease may be induced by the interaction of multiple genetic variants. However, heavy computational cost as well as the complexity of the underlying biological mechanism has prevented a thorough investigation of epistatic interactions and thus most previous studies have typically considered only a small number of genetic variants at a time. In this study, we propose a gene network based analysis framework to identify genetic risk factors from a genome-wide association study dataset. We first derive multiple single nucleotide polymorphisms (SNP)-based epistasis networks that consider marginal and epistatic effects by using different information theoretic measures. Each SNP epistasis network is converted into a gene-gene interaction network, and the resulting gene networks are combined as one for downstream analysis. The integrated network is validated on existing knowledgebase of DisGeNET for known gene-disease associations and GeneMANIA for biological function prediction. We demonstrated our proposed method on a Korean GWAS dataset, which has genotype information of 440,094 SNPs for 188 cases and 247 controls. The topological properties of the generated networks are examined for scale-freeness, and we further performed various statistical analyses in the Allergy and Asthma Portal (AAP) using the selected genes from our integrated network. Our result reveals that there are several gene modules in the network that are of biological significance and have evidence for controlling susceptibility and being related to the treatment of AERD.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 27 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 19%
Student > Ph. D. Student 4 15%
Student > Doctoral Student 3 11%
Student > Master 3 11%
Librarian 2 7%
Other 4 15%
Unknown 6 22%
Readers by discipline Count As %
Medicine and Dentistry 8 30%
Biochemistry, Genetics and Molecular Biology 3 11%
Pharmacology, Toxicology and Pharmaceutical Science 2 7%
Engineering 2 7%
Physics and Astronomy 1 4%
Other 3 11%
Unknown 8 30%
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 24 July 2018.
All research outputs
#17,898,929
of 22,979,862 outputs
Outputs from BMC Medical Genomics
#800
of 1,229 outputs
Outputs of similar age
#224,128
of 313,678 outputs
Outputs of similar age from BMC Medical Genomics
#12
of 17 outputs
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So far Altmetric has tracked 1,229 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 29th percentile – i.e., 29% of its peers scored the same or lower than it.
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We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.