Identification of a new locus at 16q12 associated with time-to-asthma onset

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Sarnowski, Chloé | Sugier, Pierre-Emmanuel | Granell, Raquel | Jarvis, Debbie | Dizier, Marie-Hélène | Ege, Markus | Imboden, Medea | Laprise, Catherine | Khusnutdinova, Elza, K. | Freidin, Maxim, B. | Cookson, William, O.C. | Moffatt, Miriam | Lathrop, Mark | Siroux, Valérie | Ogorodova, Ludmila, M. | Karunas, Alexandra, S. | James, Alan | Probst-Hensch, Nicole, M. | Mutius, Erika Von | Pin, Isabelle | Kogevinas, Manolis | Henderson, John, A. | Demenais, Florence | Bouzigon, Emmanuelle

Edité par CCSD ; Elsevier -

International audience. Background: Asthma is a heterogeneous disease in which age-of-onset plays an important role.Objective: We sought to identify the genetic variants associated with time-to-asthma onset.Methods: We conducted a large-scale meta-analysis of nine genome-wide association studies of time-to-asthma onset (total of 5,462 asthmatics with a broad range of age-of-asthma onset and 8,424 controls of European ancestry) performed using survival analysis techniques.Results: We detected five regions associated with time-to-asthma onset at genome-wide significant level (P<5x10-8). We evidenced a new locus in 16q12 region (near cylindromatosis turban tumor syndrome gene (CYLD)) and confirmed four asthma risk regions: 2q12 (IL1RL1), 6p21 (HLA-DQA1), 9p24 (IL33) and 17q12-q21 (ZPBP2-GSDMA). Conditional analyses identified two distinct signals at 9p24 (both upstream of IL33) and at 17q12-q21 (near ZPBP2 and within GSDMA). These seven distinct loci explained together 6.0% of the variance in time-to-asthma onset. In addition, we showed that genetic variants at 9p24 and 17q12-q21 were strongly associated with an earlier onset of childhood asthma (P≤0.002) whereas 16q12 SNP was associated with a later asthma onset (P=0.04). A high burden of disease risk alleles at these loci was associated with earlier age-of-asthma onset (4 years versus 9-12 years, P=10-4).Conclusion: The new susceptibility region for time-to-asthma onset at 16q12 harbors variants that correlate with the expression of CYLD and NOD2 (nucleotide-binding oligomerization domain 2), two strong candidates for asthma. This study demonstrates that incorporating the variability of age-of-asthma onset in asthma modeling is a helpful approach in the search for disease susceptibility genes.

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