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. 2023 Jan 18;14:83. doi: 10.1038/s41467-022-33626-w

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© The Author(s) 2023

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 (left): effect sizes of lead variants of 24 non-HLA loci across IURD phenotypes. Red indicates a positive and blue a negative effect size estimate (in log-odds) using logistic regression (Methods). P values were calculated using upper tail chi-square testing (one degree of freedom) from a t-statistic under a normal approximation. Variants and phenotypes are ordered according to hierarchical clustering (Methods). The clusters show shared genetic heritability for variant clusters between recognized phenotype groups of sinonasal (NSD, VAR, CRS, NP) and pharyngeal diseases (CDTA, PA). *p < 0.00027, **p < 5e-8, ***p < 5e-9. B (right): genetic correlation of IURDs distinguishing vasomotor and allergic rhinitis (VAR), chronic rhinosinusitis (CRS), and nasal polyposis (NP) as a near-completely genetically correlated cluster. The color of the circle indicates genetic correlation with red indicating positive correlation and blue indicating negative correlation. P values were calculated using upper tail chi-square testing (one degree of freedom) from a z statistic. *p < 0.05, **p < 0.005, ***p < 8.4e-5.