Fig. 4: Results from GWAS analyses in the UKB (N = 249,167) and FinnGen cohorts (N = 277,252).
A Gene-based genome-wide Manhattan plots for the seven clusters in the UKB cohort. Association analyses were first performed for each cluster using linear regression to test the association between each SNP and the posterior log odds of cluster membership, controlling for age, sex, the first ten genetic principal components, and the genotyping array. Next, MAGMA gene-level analysis was performed to identify putative significant genes using a SNPwise-multi model, defining the SNP set of each gene with a ± 10 kb window. In the plot, nominal p-values are displayed. The genome-wide significant genes are indicated with red dots, and the significance threshold (2.7 × 10-6) is depicted with a dashed dark red line. B Genetic correlation (rg) plot from GWAS summary statistics on the posterior log-odds of cluster membership among Clusters 1–7 in the UKB cohort. The colour of the dots indicates the value of the genetic correlation. C Genetic correlation (rg) plot from GWAS summary statistics on the posterior log-odds of cluster membership among Clusters 1–7 in the FinnGen cohort. The area and the colour of the circles represent the magnitude and direction (blue = positive, red = negative) of the genetic correlation between two clusters. D Overlap between genome-wide significant genes from MAGMA analyses of Clusters 1–7 in the UKB cohort. Black dots indicate clusters within the comparison. The intersection size corresponds to the number of genes uniquely shared by these clusters.
