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. 2022 Jul 9;13:3993. doi: 10.1038/s41467-022-31625-5

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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. 4 — a Heatmap shows interaction z-scores from standard linear regression models between nine genetic variants (x axis) and 33 anthropometric exposures (y axis). Colored panels pass a nominal significance threshold (p < 0.05). Variants are annotated with the closest gene, as well as a second likely causal gene based on manual annotation where appropriate. b Heatmap shows interaction z scores for a single variant (rs139566989 in LIPC), with varying TG lipid subfraction outcomes from nuclear magnetic resonance (x axis) and three representative anthropometric exposures (y axis). c Three stratified plots showing means and 95% confidence intervals for inverse-normal transformed total TG or TG in very large HDL after stratification by rs139566989 and tertiles of the relevant exposure (labeled at the top of each plot; n = 90,644 total participants).