A novel role for ciliary function in atopy: ADGRV1 and DNAH5 interactions
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Accepted version
Supporting information
Author(s)
Type
Journal Article
Abstract
Background
Atopy, an endotype underlying allergic diseases, has a substantial genetic component.
Objective
Our goal was to identify novel genes associated with atopy in asthma-ascertained families.
Methods
We implemented a 3-step analysis strategy in 3 data sets: the Epidemiological Study on the Genetics and Environment of Asthma (EGEA) data set (1660 subjects), the Saguenay-Lac-Saint-Jean study data set (1138 subjects), and the Medical Research Council (MRC) data set (446 subjects). This strategy included a single nucleotide polymorphism (SNP) genome-wide association study (GWAS), the selection of related gene pairs based on statistical filtering of GWAS results, and text-mining filtering using Gene Relationships Across Implicated Loci and SNP-SNP interaction analysis of selected gene pairs.
Results
We identified the 5q14 locus, harboring the adhesion G protein–coupled receptor V1 (ADGRV1) gene, which showed genome-wide significant association with atopy (rs4916831, meta-analysis P value = 6.8 × 10−9). Statistical filtering of GWAS results followed by text-mining filtering revealed relationships between ADGRV1 and 3 genes showing suggestive association with atopy (P ≤ 10−4). SNP-SNP interaction analysis between ADGRV1 and these 3 genes showed significant interaction between ADGRV1 rs17554723 and 2 correlated SNPs (rs2134256 and rs1354187) within the dynein axonemal heavy chain 5 (DNAH5) gene (Pmeta-int = 3.6 × 10−5 and 6.1 × 10−5, which met the multiple-testing corrected threshold of 7.3 × 10−5). Further conditional analysis indicated that rs2134256 alone accounted for the interaction signal with rs17554723.
Conclusion
Because both DNAH5 and ADGRV1 contribute to ciliary function, this study suggests that ciliary dysfunction might represent a novel mechanism underlying atopy. Combining GWAS and epistasis analysis driven by statistical and knowledge-based evidence represents a promising approach for identifying new genes involved in complex traits.
Atopy, an endotype underlying allergic diseases, has a substantial genetic component.
Objective
Our goal was to identify novel genes associated with atopy in asthma-ascertained families.
Methods
We implemented a 3-step analysis strategy in 3 data sets: the Epidemiological Study on the Genetics and Environment of Asthma (EGEA) data set (1660 subjects), the Saguenay-Lac-Saint-Jean study data set (1138 subjects), and the Medical Research Council (MRC) data set (446 subjects). This strategy included a single nucleotide polymorphism (SNP) genome-wide association study (GWAS), the selection of related gene pairs based on statistical filtering of GWAS results, and text-mining filtering using Gene Relationships Across Implicated Loci and SNP-SNP interaction analysis of selected gene pairs.
Results
We identified the 5q14 locus, harboring the adhesion G protein–coupled receptor V1 (ADGRV1) gene, which showed genome-wide significant association with atopy (rs4916831, meta-analysis P value = 6.8 × 10−9). Statistical filtering of GWAS results followed by text-mining filtering revealed relationships between ADGRV1 and 3 genes showing suggestive association with atopy (P ≤ 10−4). SNP-SNP interaction analysis between ADGRV1 and these 3 genes showed significant interaction between ADGRV1 rs17554723 and 2 correlated SNPs (rs2134256 and rs1354187) within the dynein axonemal heavy chain 5 (DNAH5) gene (Pmeta-int = 3.6 × 10−5 and 6.1 × 10−5, which met the multiple-testing corrected threshold of 7.3 × 10−5). Further conditional analysis indicated that rs2134256 alone accounted for the interaction signal with rs17554723.
Conclusion
Because both DNAH5 and ADGRV1 contribute to ciliary function, this study suggests that ciliary dysfunction might represent a novel mechanism underlying atopy. Combining GWAS and epistasis analysis driven by statistical and knowledge-based evidence represents a promising approach for identifying new genes involved in complex traits.
Date Issued
2018-05-01
Date Acceptance
2017-06-21
Citation
JOURNAL OF ALLERGY AND CLINICAL IMMUNOLOGY, 2018, 141 (5), pp.1659-1667.e11
ISSN
0091-6749
Publisher
MOSBY-ELSEVIER
Start Page
1659
End Page
1667.e11
Journal / Book Title
JOURNAL OF ALLERGY AND CLINICAL IMMUNOLOGY
Volume
141
Issue
5
Copyright Statement
© 2017 American Academy of Allergy, Asthma & Immunology. Published by Elsevier Ltd. All rights reserved. This manuscript is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/
Sponsor
Medical Research Council (MRC)
Medical Research Council (MRC)
Identifier
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000432148200013&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
Grant Number
G1000758
G1000758
Subjects
Science & Technology
Life Sciences & Biomedicine
Allergy
Immunology
Atopy
asthma
genetics
genome-wide association study
gene-gene interaction
text mining
ADGRV1
DNAH5
ciliary function
GENOME-WIDE ASSOCIATION
BRONCHIAL HYPERRESPONSIVENESS
ALLERGIC SENSITIZATION
ASTHMA
VARIANTS
GENETICS
LOCI
IDENTIFICATION
METAANALYSIS
MUTATIONS
Publication Status
Published
Date Publish Online
2017-09-18