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. 2021 Mar 19;100(11):e24769. doi: 10.1097/MD.0000000000024769

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Copyright © 2021 the Author(s). Published by Wolters Kluwer Health, Inc.

This is an open access article distributed under the Creative Commons Attribution License 4.0 (CCBY), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. http://creativecommons.org/licenses/by/4.0

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In silico permutation analysis and comparative analysis. (a) In silico permutation analysis to assess the significance of the overlapped genes between Zeller eQTL dataset (Dataset #3) and Dixon eQTL dataset (Dataset #4). (b) Sherlock-identified genes from Zeller eQTL data (Dataset #3) were remarkably overlapped with genes from MAGMA analysis on CAD-related GWAS (Dataset #1) than those from MAGMA analysis on null-related GWAS (Dataset #2). (c) Sherlock-identified genes from Dixon eQTL data (Dataset #4) were remarkably overlapped with genes from MAGMA analysis on CAD-related GWAS (Dataset #1) than those from MAGMA analysis on null-related GWAS (Dataset #2).