Fig 1.
Flow diagram of the CGCP study.
Overview of the CGCP study framework, illustrating the analysis pipeline for eligible SNPs from exon sequencing data. (A) Depicts the CGCP study framework; (B) illustrates the calculation of background noise, with F representing genotype frequency and P representing disease prevalence.
Table 1.
The characteristics of individuals in whole exome sequencing data.
Table 2.
The prevalence of psoriasis in different populations.
Fig 2.
Genotype frequency and disease prevalence across ethnic groups.
(A) and (C) display the median and mean frequencies of psoriasis-specific genotype combinations and disease prevalence across ethnic groups in line charts, respectively. (B) and (D) show the linear correlation between these median and mean frequencies and disease prevalence, respectively.
Table 3.
Proportion of the significant linear correlations (P < 0.05) in 1000 permutation tests under different models.
Fig 3.
Genotype combination frequency and disease prevalence across 1000 simulated populations.
Scatter plots illustrating the relationship between mean 3-locus genotype combination frequency and disease prevalence across 1000 simulated populations under different models. The x-axis represents mean genotype combination frequency, and the y-axis represents disease prevalence. (A) Complete random model; (B) constrained model with 20% fluctuation from reference population frequency; (C) constrained lost model with 20% fluctuation and 20% data removal; (D) constrained lost and mixed model with 20% fluctuation, 30% data removal, and 30% data mixing.
Fig 4.
Dotplot showing enriched GO terms of 134 genes divided by genes collected in the pathway.