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. 2020 Mar 9;122(8):1231–1241. doi: 10.1038/s41416-020-0764-3

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© The Author(s) 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 A flow chart representing the focused analytical approach taken to identify potential cancer GWAS SNPs which associate with differential age of ACC onset. b–d Manhattan plot representing cancer GWAS SNPs tested in BRZ1 (discovery) cohort with p-value represented in −log₁₀(p) for each SNP (n = 6059) (b). Manhattan plot representing the significant cancer GWAS SNPs (p < 0.05) in BRZ1 and their validation in the BRZ2 cohort (n = 282, out of 303 significant in BRZ1) (c). Manhattan plot representing significant the cancer GWAS SNPs in both BRZ1 and BRZ2 and validated in the adult ACC cohort (n = 6, out of 7 significant in BRZ1 and BRZ2) (d). The significant SNP in the 3 cohorts is marked in red and pointed with an arrow.