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. 2022 Jan 25;13:480. doi: 10.1038/s41467-021-27850-z

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© The Author(s) 2022

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

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Fig. 5 — The ridgeline plot illustrates for each GWAS phenotype the proportion of colocalized proteins that were significantly associated with the same trait in AGES (linear regression, FDR < 0.05, n = 5457) (black lines) compared to 1000 randomly sampled sets of proteins of the same size (density curves), here showing only those with empirical P < 0.05. See full results in Supplementary Fig. 22. The number of colocalized proteins for each trait are provided on the left-hand side, along with the number of proteins remaining after the removal of proteins originating from loci with 5 or more colocalized proteins from the analysis, annotated as no trans hotspots (nth). Empirical P-values for significant enrichment of trait-associations are shown to the right. WHRadjBMI waist-to-hip ratio adjusted for BMI, TC total cholesterol, T2D type 2 diabetes, HDL high-density lipoprotein cholesterol, LDL low-density lipoprotein cholesterol, TG triglycerides, MCH mean corpuscular hemoglobin, AMD age-related macular degeneration, AD Alzheimer’s disease.