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Genome-wide search identifies a gene-gene interaction between 20p13 and 2q14 in asthma

Overview of attention for article published in BMC Genomic Data, July 2016
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Title
Genome-wide search identifies a gene-gene interaction between 20p13 and 2q14 in asthma
Published in
BMC Genomic Data, July 2016
DOI 10.1186/s12863-016-0376-3
Pubmed ID
Authors

William Murk, Andrew T. DeWan

Abstract

Many studies have attempted to identify gene-gene interactions affecting asthma susceptibility. However, these studies have typically used candidate gene approaches in limiting the genetic search space, and there have been few searches for gene-gene interactions on a genome-wide scale. We aimed to conduct a genome-wide gene-gene interaction study for asthma, using data from the GABRIEL Consortium. A two-stage study design was used, including a screening analysis (N = 1625 subjects) and a follow-up analysis (N = 5264 subjects). In the screening analysis, all pairwise interactions among 301,547 SNPs were evaluated, encompassing a total of 4.55 × 10(10) interactions. Those with a screening interaction p-value < 10(-5) were evaluated in the follow-up analysis. No interaction selected from the screening analysis met strict statistical significance in the follow-up (p-value < 1.45 × 10(-7)). However, the top-ranked interaction (rs910652 [20p13] × rs11684871 [2q14]) in the follow-up (p-value = 1.58 × 10(-6)) was significant in one component of a replication analysis. This interaction was notable in that rs910652 is located within 78 kilobases of ADAM33, which is one of the most well studied asthma susceptibility genes. In addition, rs11684871 is located in or near GLI2, which may have biologically relevant roles in asthma. Using a genome-wide approach, we identified and found suggestive evidence of replication for a gene-gene interaction in asthma involving loci that are potentially highly relevant in asthma pathogenesis.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 23%
Student > Master 3 23%
Student > Ph. D. Student 2 15%
Other 2 15%
Student > Doctoral Student 1 8%
Other 0 0%
Unknown 2 15%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 23%
Agricultural and Biological Sciences 2 15%
Medicine and Dentistry 2 15%
Computer Science 1 8%
Immunology and Microbiology 1 8%
Other 1 8%
Unknown 3 23%
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 14 September 2017.
All research outputs
#19,944,091
of 25,373,627 outputs
Outputs from BMC Genomic Data
#786
of 1,204 outputs
Outputs of similar age
#272,107
of 371,013 outputs
Outputs of similar age from BMC Genomic Data
#32
of 50 outputs
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