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. 2020 Apr 6;12:53. doi: 10.1186/s13148-020-00843-3

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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 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/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

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Fig. 1 — Exploratory data analysis. a Score plot of the first two principal components of the overall DNA methylation profiles, showing a discernable differentiation between patients with CD (blue circles) and healthy controls (red circles). b Heatmap showing the correlation data between the six main components and clinical parameters such as hospital, sex, age, body mass index [BMI], or disease. Each cell of the heatmap shows the Pearson correlation coefficient. Asterisk indicates significant correlation. c Percentage of differentially methylated positions (DMPs) of all the human DNA methylome distributed in three classes: unmethylated regions (UMR < 25% methylated CpGs); low-methylated regions (LMR < 25% methylated CpGs); and fully methylated regions (FMR > 50% methylated CpGs)