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. 2020 Jun 8;21:135. doi: 10.1186/s13059-020-02049-5

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© The Author(s) 2020

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. 2 — QTLs are highly associated with GWAS CAD loci. a bQTL, b caQTL, and c clQTL plots show the lead SNPs of GWAS catalog enrichment in the ± 1-kb windows of the QTLs, including P values, fold changes, and number sizes. The colors of the text indicate the different categories of diseases. d bQTL, e caQTL, and f clQTL bar graphs show the ranked GWAS terms for associated lead SNP-QTL pairs with linkage disequilibrium (LD) (R² > 0.8) in the GWAS catalog, compared to the total number of pairs. g bQTL, h caQTL, and i clQTL box plots show the total LD R² distributions of QTL to lead SNP pairs, in GWAS CAD-associated diseases