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 \(\mathbf{h}_{\mathbf{\text{SNP}}}^{\mathbf{2}}\).