Fraction of exhaled nitric oxide values in childhood are associated with 17q11.2-q12 and 17q12-q21 variants.

Ralf J P van der Valk, Liesbeth Duijts, Nicolas J Timpson, Muhammad T Salam, Marie Standl, John A Curtin, Jon Genuneit, Marjan Kerhof, Eskil Kreiner-Møller, Alejandro Cáceres, Anna Gref, Liming L Liang, H Rob Taal, Emmanuelle Bouzigon, Florence Demenais, Rachel Nadif, Carole Ober, Emma E Thompson, Karol Estrada, Albert HofmanAndré G Uitterlinden, Cornélia van Duijn, Fernando Rivadeneira, Xia Li, Sandrah P Eckel, Kiros Berhane, W James Gauderman, Raquel Granell, David M Evans, Beate St Pourcain, Wendy McArdle, John P Kemp, George Davey Smith, Carla M T Tiesler, Claudia Flexeder, Angela Simpson, Clare S Murray, Oliver Fuchs, Dirkje S Postma, Klaus Bønnelykke, Maties Torrent, Martin Andersson, Patrick Sleiman, Hakon Hakonarson, William O Cookson, Miriam F Moffatt, Lavinia Paternoster, Erik Melén, Jordi Sunyer, Hans Bisgaard, Gerard H Koppelman, Markus Ege, Adnan Custovic, Joachim Heinrich, Frank D Gilliland, Alexander J Henderson, Vincent W V Jaddoe, Johan C de Jongste

    Research output: Contribution to journalArticlepeer-review


    BACKGROUND: The fraction of exhaled nitric oxide (Feno) value is a biomarker of eosinophilic airway inflammation and is associated with childhood asthma. Identification of common genetic variants associated with childhood Feno values might help to define biological mechanisms related to specific asthma phenotypes. OBJECTIVE: We sought to identify the genetic variants associated with childhood Feno values and their relation with asthma. METHODS: Feno values were measured in children age 5 to 15 years. In 14 genome-wide association studies (N = 8,858), we examined the associations of approximately 2.5 million single nucleotide polymorphisms (SNPs) with Feno values. Subsequently, we assessed whether significant SNPs were expression quantitative trait loci in genome-wide expression data sets of lymphoblastoid cell lines (n = 1,830) and were related to asthma in a previously published genome-wide association data set (cases, n = 10,365; control subjects: n = 16,110). RESULTS: We identified 3 SNPs associated with Feno values: rs3751972 in LYR motif containing 9 (LYRM9; P = 1.97 × 10(-10)) and rs944722 in inducible nitric oxide synthase 2 (NOS2; P = 1.28 × 10(-9)), both of which are located at 17q11.2-q12, and rs8069176 near gasdermin B (GSDMB; P = 1.88 × 10(-8)) at 17q12-q21. We found a cis expression quantitative trait locus for the transcript soluble galactoside-binding lectin 9 (LGALS9) that is in linkage disequilibrium with rs944722. rs8069176 was associated with GSDMB and ORM1-like 3 (ORMDL3) expression. rs8069176 at 17q12-q21, but not rs3751972 and rs944722 at 17q11.2-q12, were associated with physician-diagnosed asthma. CONCLUSION: This study identified 3 variants associated with Feno values, explaining 0.95% of the variance. Identification of functional SNPs and haplotypes in these regions might provide novel insight into the regulation of Feno values. This study highlights that both shared and distinct genetic factors affect Feno values and childhood asthma.
    Original languageEnglish
    Pages (from-to)46-55
    Number of pages9
    JournalThe Journal of allergy and clinical immunology
    Issue number1
    Early online date6 Dec 2013
    Publication statusPublished - Jul 2014


    • Airway inflammation
    • asthma phenotypes
    • biomarker
    • genetics
    • genome-wide association study


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