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. 2020 Jun 23;19:108. doi: 10.1186/s12943-020-01228-z

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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. 1 — Summary of pan-cancer snoQTL analysis. a Numbers of samples included and numbers of snoQTLs identified in different cancer types. b Association between cis-snoQTL rs6483262 alleles and SNORA25 levels in PAAD. c Relative location distribution of cis-snoQTLs in regard to their paired snoRNAs. d Association between trans-snoQTL rs8069739 alleles and U8 levels in LUAD. e Kaplan–Meier plot displaying the association between rs1694419 genotypes and overall survival times of KIRC patients. f snoQTL rs12905354 located in TCGT GWAS locus