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Autor(en) / Beteiligte
Titel
A novel role for cilia function in atopy: ADGRV1 and DNAH5 interactions
Ist Teil von
  • Journal of allergy and clinical immunology, 2017
Ort / Verlag
Elsevier
Erscheinungsjahr
2017
Link zum Volltext
Quelle
Alma/SFX Local Collection
Beschreibungen/Notizen
  • 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 three-step analysis strategy in three datasets: The Epidemiological study on the Genetics and Environment of Asthma (EGEA) dataset: 1,660 subjects; The Saguenay-Lac-Saint-Jean (SLSJ) dataset: 1,138 subjects; and The Medical Research Council (MRC) dataset: 446 subjects). This strategy included a single-SNP genome-wide association study (GWAS), the selection of related gene pairs based on statistical filtering of GWAS results and text-mining filtering using GRAIL 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, that showed genome-wide significant association with atopy (rs4916831; Pmeta=6.8x10-9). Statistical filtering of GWAS results followed by text-mining filtering revealed relationships between ADGRV1 and three genes showing suggestive association with atopy (P≤10-4). SNP-SNP interaction analysis between ADGRV1 and these three genes showed significant interaction between ADGRV1 rs17554723 and two correlated SNPs (rs2134256 and rs1354187) within dynein axonemal heavy chain 5 (DNAH5) gene (Pmeta-int=3.6x10-5 and 6.1x10-5, that met the multiple-testing corrected threshold of 7.3x10-5). Further conditional analysis indicated that rs2134256 alone accounted for the interaction signal with rs17554723.CONCLUSION:As both DNAH5 and ADGRV1 contribute to function of cilia, this study suggests that cilia dysfunction may 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.
Sprache
Englisch
Identifikatoren
ISSN: 0091-6749
eISSN: 1097-6825
DOI: 10.1016/j.jaci.2017.06.050
Titel-ID: cdi_hal_primary_oai_HAL_inserm_01616494v1

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