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. 2022 Jan 7;12:286. doi: 10.1038/s41598-021-04248-x

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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 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/.

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miRNA-mRNA targeting networks generated from the Brazilian cohort. miRNA-mRNA interaction was predicted using TargetScanHuman database. Pairwise correlation was computed between miRNA expression and the expression of the set of up-regulated genes presented in the gene ontology network generated in Fig. 2A. Only miRNA and genes which have negative correlation (less than − 0.50) were included. Regulatory networks associated with extracellular matrix remodeling are clustered (A). The second cluster (B) involves 3 different terms including the formation of the cornified envelope, the establishment of skin barrier and unsaturated fatty acid metabolic process. Genes are represented in grey dots and dot size is proportional to the level of expression; miRNA are represented in blue and edges are labeled with the correlation level between miRNA and genes.