TY - JOUR
T1 - Identification of a new locus at 16q12 associated with time to asthma onset
AU - Sarnowski, C.
AU - Sugier, P.E.
AU - Granell, R.
AU - Jarvis, D.
AU - Dizier, M.H.
AU - Ege, M.
AU - Imboden, M.
AU - Laprise, C.
AU - Khusnutdinova, E.K.
AU - Freidin, M.B.
AU - Cookson, W.O.C.
AU - Moffatt, M.
AU - Lathrop, M.
AU - Siroux, V.
AU - Ogorodova, L.M.
AU - Karunas, A.S.
AU - James, Alan
AU - Probst-Hensch, N.M.
AU - Von Mutius, E.
AU - Pin, I.
AU - Kogevinas, M.
AU - Henderson, A.J.
AU - Demenais, F.
AU - Bouzigon, E.
PY - 2016/10/1
Y1 - 2016/10/1
N2 - © 2016 American Academy of Allergy, Asthma & ImmunologyBackground 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 (TAO). Methods We conducted a large-scale meta-analysis of 9 genome-wide association studies of TAO (total of 5462 asthmatic patients with a broad range of age of asthma onset and 8424 control subjects of European ancestry) performed by using survival analysis techniques. Results We detected 5 regions associated with TAO at the genome-wide significant level (P <5 × 10-8). We evidenced a new locus in the 16q12 region (near cylindromatosis turban tumor syndrome gene [CYLD]) and confirmed 4 asthma risk regions: 2q12 (IL-1 receptor–like 1 [IL1RL1]), 6p21 (HLA-DQA1), 9p24 (IL33), and 17q12-q21 (zona pellucida binding protein 2 [ZPBP2]–gasdermin A [GSDMA]). Conditional analyses identified 2 distinct signals at 9p24 (both upstream of IL33) and 17q12-q21 (near ZPBP2 and within GSDMA). Together, these 7 distinct loci explained 6.0% of the variance in TAO. In addition, we showed that genetic variants at 9p24 and 17q12-q21 were strongly associated with an earlier onset of childhood asthma (P = .002), whereas the 16q12 single nucleotide polymorphism was associated with later asthma onset (P = .04). A high burden of disease risk alleles at these loci was associated with earlier age of asthma onset (4 vs 9-12 years, P = 10-4). Conclusion The new susceptibility region for TAO at 16q12 harbors variants that correlate with the expression of CYLD and nucleotide-binding oligomerization domain 2 (NOD2), 2 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.
AB - © 2016 American Academy of Allergy, Asthma & ImmunologyBackground 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 (TAO). Methods We conducted a large-scale meta-analysis of 9 genome-wide association studies of TAO (total of 5462 asthmatic patients with a broad range of age of asthma onset and 8424 control subjects of European ancestry) performed by using survival analysis techniques. Results We detected 5 regions associated with TAO at the genome-wide significant level (P <5 × 10-8). We evidenced a new locus in the 16q12 region (near cylindromatosis turban tumor syndrome gene [CYLD]) and confirmed 4 asthma risk regions: 2q12 (IL-1 receptor–like 1 [IL1RL1]), 6p21 (HLA-DQA1), 9p24 (IL33), and 17q12-q21 (zona pellucida binding protein 2 [ZPBP2]–gasdermin A [GSDMA]). Conditional analyses identified 2 distinct signals at 9p24 (both upstream of IL33) and 17q12-q21 (near ZPBP2 and within GSDMA). Together, these 7 distinct loci explained 6.0% of the variance in TAO. In addition, we showed that genetic variants at 9p24 and 17q12-q21 were strongly associated with an earlier onset of childhood asthma (P = .002), whereas the 16q12 single nucleotide polymorphism was associated with later asthma onset (P = .04). A high burden of disease risk alleles at these loci was associated with earlier age of asthma onset (4 vs 9-12 years, P = 10-4). Conclusion The new susceptibility region for TAO at 16q12 harbors variants that correlate with the expression of CYLD and nucleotide-binding oligomerization domain 2 (NOD2), 2 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.
U2 - 10.1016/j.jaci.2016.03.018
DO - 10.1016/j.jaci.2016.03.018
M3 - Article
C2 - 27130862
SN - 0091-6749
VL - 138
SP - 1071
EP - 1080
JO - Journal of Allergy and Clinical Immunology
JF - Journal of Allergy and Clinical Immunology
IS - 4
ER -