Genetic variants of the gasdermin B gene associated with the development of aspirin-exacerbated respiratory diseases.

BACKGROUND: Aspirin-exacerbated respiratory disease (AERD) is characterized by a severe and sudden asthma attack after aspirin ingestion in patients with asthma. We studied associations with six common single nucleotide polymorphisms (SNP) of the gasdermin B gene (GSDMB). OBJECTIVE: DNA obtained from 572 patients with asthma (with AERD, n = 165; and with aspirin-tolerant asthma, n = 407) and 391 normal controls was subjected to genotyping of six SNPs of GSDMB. METHODS: An association analysis between GSDMB variants and AERD, with a fall rate of the forced expiratory volume in the first second of expiration (FEV1), was performed by using logistic and regression models. RESULTS: Two SNPs in the intron (rs870830, rs7216389) showed significant associations with AERD (minimum p = 7.00 × 10-4 in the dominant model), even after Bonferroni correction (pcorr = 0.01 for the rs870830). Regression analysis of the genetic variants with FEV1 revealed significant associations with rs870830 and the haplotype 2 (pcorr = 4.71 × 10-4 for rs870830 and pcorr = 1.14 × 10-3 for haplotype 2, respectively). CONCLUSION: We found strong associations among GSDMB polymorphisms and the presence of AERD and FEV1 in Korean patients with asthma. Our findings indicated that genetic variations of GSDMB may be associated with the development of AERD and aspirin-induced bronchospasm.

Exonic variants associated with development of aspirin exacerbated respiratory diseases.

Aspirin-exacerbated respiratory disease (AERD) is one phenotype of asthma, often occurring in the form of a severe and sudden attack. Due to the time-consuming nature and difficulty of oral aspirin challenge (OAC) for AERD diagnosis, non-invasive biomarkers have been sought. The aim of this study was to identify AERD-associated exonic SNPs and examine the diagnostic potential of a combination of these candidate SNPs to predict AERD. DNA from 165 AERD patients, 397 subjects with aspirin-tolerant asthma (ATA), and 398 normal controls were subjected to an Exome BeadChip assay containing 240K SNPs. 1,023 models (210-1) were generated from combinations of the top 10 SNPs, selected by the p-values in association with AERD. The area under the curve (AUC) of the receiver operating characteristic (ROC) curves was calculated for each model. SNP Function Portal and PolyPhen-2 were used to validate the functional significance of candidate SNPs. An exonic SNP, exm537513 in HLA-DPB1, showed the lowest p-value (p = 3.40×10-8) in its association with AERD risk. From the top 10 SNPs, a combination model of 7 SNPs (exm537513, exm83523, exm1884673, exm538564, exm2264237, exm396794, and exm791954) showed the best AUC of 0.75 (asymptotic p-value of 7.94×10-21), with 34% sensitivity and 93% specificity to discriminate AERD from ATA. Amino acid changes due to exm83523 in CHIA were predicted to be "probably damaging" to the structure and function of the protein, with a high score of '1'. A combination model of seven SNPs may provide a useful, non-invasive genetic marker combination for predicting AERD.