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. 2020 Jan 2;11:45. doi: 10.1038/s41467-019-13688-z

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© This is a U.S. government work and not under copyright protection in the U.S.; foreign copyright protection may apply 2020

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. 1 — a Flowchart depicting a pipeline for identifying potentially functional human lncRNAs by integration of GWAS and eQTL data and by further bioinformatic and experimental analyses. b Heatmap of tissue expression Z score for the cardiometabolic trait-associated lnc-eGenes. LINC01018 and liver tissue were pointed out by red arrows. c Co-expression module analysis of cardiometabolic trait-associated lnc-eGenes. The modules with at least one significant KEGG pathway and including 2 or more trait associated lnc-eGenes are shown. d KEGG pathway analysis of protein-coding genes in each module; only the top two most significant pathway for each module are displayed.