Figure legends
Figure 1. Manhattan plot of p values from the GWAS. One region on chromosome 6 met genome-wide significance (P< 5 x 10-8) according to logistic regression.
Figure 2. Genomic region of significant SNPs on chromosome 6. a) Ideogram of chromosome 6. b) 3 Mb region containing the SNPs associated with asthma. The Manhattan plot at the top shows pvalues for both genotyped and imputed SNPs in this region. c) The expanded Manhattan plot of the 600 kb region shows both genotyped and imputed SNPs. rs1770, which was the most significant SNP, is indicated in purple, and other SNPs are colored according to their r2 value in relation to that of rs1770. Several protein-coding genes belong to HLA class II beta chain paralogs in this range.
Figure 3. Forest plot for genome-wide significant SNPs associated with asthma. * indicates SNPs with p < 0.05. ASK indicates the GWAS results using our Korean data. Ukb indicates the GWAS results using UK Biobank data6.
Figure E1. Workflow of quality control for our samples. Multiple standard quality controls were performed for both asthmatic subjects (Case) and control subjects (Control) to exclude outlier SNPs and subjects.
Figure E2. QQ plot for the GWAS of asthma. The observed distributions of p values in GWAS are plotted.
Figure E3. MDS plot. Gray dots represent the 1000 Genomes Project subjects. Red and blue dots represent our asthmatic subjects and control subjects, respectively.
Figure E4 . Proportion of phenotypic variances explained according to genotyped SNPs with a disease prevalence ranging from 0.03 to 0.1. The proportion of phenotypic variances explained according to genotyped SNPs was calculated with GCTA on a) the liability scale and b) the observed 0-1 scale. The shaded area indicates the 95% confidence interval for \(\mathbf{h}_{\mathbf{\text{SNP}}}^{\mathbf{2}}\).