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. 2021 Aug 21;13:162. doi: 10.1186/s13148-021-01148-9

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© The Author(s) 2021

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. 1 — Scheme of the performed analysis. SNPs filt: Only SNPs in autosomal chromosomes and with a MAF between 0.05 and 0.95 have been considered. Duplicated SNPs and SNPs with more than 10% of missing values have been removed. CpGs filt: SNPs CpGs or CpGs with missing values have been removed. Only CpGs in autosomal chromosomes have been included. CpGs with a standard deviation greater than 0.05 have been filtered in. Genes filt: Only genes in autosomal chromosomes and with a standard deviation greater than 0.05 have been considered. All the analysis has been adjusted by sex, age and site and the maximum distance between elements was 1 Mb