Fig. 1: Summary of the datasets and analyses. | Nature Communications

Fig. 1: Summary of the datasets and analyses.

From: Meta-analysis of sub-Saharan African studies provides insights into genetic architecture of lipid traits

Fig. 1

For each lipid trait, Stage 1 of the GWAS involved a joint analysis of the full AWI-Gen dataset (10,603 participants from Eastern, Western and Southern Africa) and Stage 2 (N = 23,718) involved a meta-analysis of the Stage 1 results with the summary statistics from four African cohorts included in the Gurdasani et al. 20197 study (Uganda Genome Resource (UGR) study, the Africa-America Diabetes Mellitus (AADM) study, the Durban Diabetes Study (DDS), the Durban Case Control (DCC) study). Approximate geographic location and sample size of the cohorts are represented by position and size of the circles in the map. Each cohort is shown in a unique colour. Assessment of transferability of associations detected in the Global Lipid Genetics Consortium (GLGC)15 study and the Population Architecture using Genomics and Epidemiology (PAGE)36 study was performed in various replication sets. Predictability of polygenic risk score models based on Gurdasani et al. 20197, GLGC15 and PAGE36 was assessed in the AWI-Gen dataset. The map was created using R (https://www.r-project.org/).

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