Fig. 5: Summary of fine-mapped associations across 313 metabolic traits.

a FINEMAP summary. At the top, the numbers of association signals identified in each region that contains at least one independent association are shown. This includes a single signal in 5940 regions and 2–10 signals in 8721 regions across 313 metabolites. At the bottom, the numbers of candidate causal variants in the credible set with ≥ 99% posterior probability are displayed. For example, 6620 signals were mapped to a single variant in the credible set across 313 traits. Source data are available in Supplementary Data 10. b Breakdown of the number of fine-mapped variants. Red bars represent causal variants with a posterior probability greater than 0.99. Blue bars represent causal variants with a posterior probability between 0.95 and 0.99. The x-axis shows the number of fine-mapped causal variants, and the y-axis indicates the total variance explained by those variants with a posterior probability greater than 0.99. The 40 traits with the highest total variance explained are displayed. Source data are available in Supplementary Data 11. c A regional association plot showing the fine-mapping result for XS-VLDL-TG% at the MLXIPL loci, based on GWAS summary statistics. Fine-mapped variants are indicated by black outlined points. Exonic or splicing functional variants are represented as diamonds. Lead variants are highlighted in red. The raw two-sided P values are provided. d Heatmaps of phenotypic (top left inset) and genetic (bottom right inset) correlation structure of cholesterol in lipoprotein subclass particles (left) and the association landscapes of variants associated with degree of unsaturation (right). Pairwise Pearson’s correlation coefficients and genetic correlations (left), and effect estimates for the variant–metabolic trait associations (right) are represented as a color range. Stars indicate genome-wide significance and dots indicate suggestive associations. The variant effect sizes were scaled relative to the absolute maximum effect size in each region. The effect allele for each variant is shown. Each column represents a variant, and each row corresponds to a metabolic measure. Two-sided tests were used for statistical analysis. Source data are available in Supplementary Data 12. See abbreviations in Supplementary Data 2 and 5.