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. 2022 Oct 19;13:6204. doi: 10.1038/s41467-022-33906-5

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© The Author(s) 2022

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. 2 — a Manhattan plot of per skin microenvironment meta-analysis. Lowest P value of each position is shown and identified by locus ID and rsID. Meta-analysis P values were obtained using the software METAL and METASOFT or by combining P values from data sets that originated from dry skin sites, see Methods. Significant positions are colored according to skin microenvironment and listed, where leading genetic variant, protein coding genes selected by fine-mapping as containing possible causal variants and microbial features are reported. Table 1 contains the list of loci characteristics and genes. b Count of significantly associated loci per microenvironment. c Level of microbial features with highest number of significant associations. d Sub-family features with the highest number of significant associations.