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. 2021 Jan 6;22:6. doi: 10.1186/s12864-020-07186-6

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© The Author(s) 2020

Open AccessThis 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. 5 — Gestational-age dependent DNA methylation within each placental cell population. a The distribution of the changes in DNA methylation between first and third trimester, within each cell type. Only statistically significant (Bonferroni p < 0.01) and biologically relevant (mean change in DNAm > 5%) differences are shown. Number of gestational age associated DMCs are labelled above each plot. b Functional enrichment analysis for GO terms tested with the R package missMethyl. c Functional enrichment analysis for KEGG pathways tested with the R package missMethyl. D) Enrichment for genomic features: CpG island-related elements, enhancers, PMDs, and gene features