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. 2019 Dec 16;9:19201. doi: 10.1038/s41598-019-55590-0

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© The Author(s) 2019

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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Genome-wide distribution of transcript-level eQTLs in CRBL. (a) Simulated eQTL data in linkage equilibrium for a single simulation and (b) observed eQTL data. Each point in both plots represents an eQTL between (the SNP on different chromosomes on the x-axis) and (the transcript on different chromosomes on the y-axis). The clear diagonal band represents cis-acting eQTLs while the off-diagonal points represent trans-acting eQTLs (defined as eQTL with a difference between the SNP and transcript site of at least 3.16 Mb). There are many more points in the simulated data plot (a) as these are the simulated “true” eQTLs, many of which are not detected in the subsequent eQTL mapping analysis. As an example, 2.19% of “true” eQTLs were detected across all simulations.