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. 2021 Sep 10;19:232. doi: 10.1186/s12916-021-02087-1

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© The Author(s) 2021

Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

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Fig. 3 — Combined network graph summarising genetic associations and a Gaussian graphical model (GGM) relating to levels of individual lipid species in PROMIS. Nodes representing genetic loci are each labelled with the most likely “causal” gene at that locus according to our functional annotation (see “Methods” section). In order for an edge to be drawn between a genetic locus and a lipid subclass, there must have been a minimum of one variant at that locus significantly (P < 8.9 x 10^-10) associated with a minimum of one lipid species belonging to that lipid subclass. Edges between lipid subclasses indicate whether there was either a significant over- (green) or under- (purple) representation (the magnitude is indicated in the thickness of the edges) of GGM connections between lipid species belonging to different lipid subclasses