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. 2024 Nov 14;14:27952. doi: 10.1038/s41598-024-78274-w

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© The Author(s) 2024

Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, 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 you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. 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-nc-nd/4.0/.

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Fig. 2 — Pairwise comparison of tinnitus GWAS results across UK Biobank and CCSS-Rad-study using cutoff of 10^–5. (A) UK Biobank as the base GWAS. (B) CCSS-Rad-study as the base GWAS. Top panel shows − log10(p) of the lead variants from the base GWAS in the target GWAS. Blue color indicates matching direction of effect size in the significant variants. Solid lines show the 10^–5 threshold and dashed lines show the Bonferroni corrected thresholds. Middle panel shows position of the lead variants in the base GWAS (red) in the QQ plot of the target GWAS results (grey). Dotted lines show the 50th, 99th and 99.9th percentiles of the target dataset and values next to them show percent of the lead variants of the base dataset above each line. Bottom panel shows colocalization results for loci consisting of variants within 250 kb of the lead variants in the base dataset with p-values below the 10^–5 cutoff. Dashed lines show 0.5 colocalization cutoffs for the posterior probabilities. PP.H4 is the posterior probability that the GWAS signals are colocalized and PP.H3 is the posterior probability that there are two independent signals in the locus. Rad-study: CCSS-Rad-study.