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Details

Autor(en) / Beteiligte
Titel
Identification of a new locus at 16q12 associated with time to asthma onset
Ist Teil von
  • Journal of allergy and clinical immunology, 2016-10, Vol.138 (4), p.1071-1080
Ort / Verlag
United States: Elsevier Inc
Erscheinungsjahr
2016
Quelle
Free E-Journal (出版社公開部分のみ)
Beschreibungen/Notizen
  • 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 (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.

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