Fig. 1: GWAS of routinely acquired blood tests in a South Asian ancestry cohort.
From: Genetic architecture of routinely acquired blood tests in a British South Asian cohort
A Scatter plot displaying the relationship between GWAS sample size (x axis) and the number of study-wide significant independent genetic loci for each trait examined in the Genes & Health Cohort. Independent loci were defined using in-sample LD to clump results (distance 1KB, R2 0.001) and a study-wide significance threshold of P < 1.2 × 10−9. B Forest plot indicating the degree of test statistic inflation for each GWAS trait. The x axis shows the inflation statistic—either the LDSC intercept (yellow) or the genomic inflation factor (λ, light green). The y-axis indicates the trait. C Manhattan plots showing the results from the Genes & Health GWAS. P values are truncated at P < 1e-100 for clarity. Traits are divided by broad subtype. For each trait category, only SNPs passing the study-wide significance threshold are shaded in full colour. Other SNPs are translucent. SNPs with P > 0.001 are not shown for clarity. The top SNP (i.e. lowest P value) within each category for each chromosome is annotated with the nearest gene. Some labels are omitted for clarity. P values reflect the output of the GWAS models (mixed linear models) implemented in REGENIE.
