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Genome-Wide DNA Methylation Profiles in Whole-Blood and Buccal Samples—Cross-Sectional, Longitudinal, and across Platforms

The field of DNA methylation research is rapidly evolving, focusing on disease and phenotype changes over time using methylation measurements from diverse tissue sources and multiple array platforms. Consequently, identifying the extent of longitudinal, inter-tissue, and inter-platform variation in...

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Autores principales: Van Asselt, Austin J., Beck, Jeffrey J., Finnicum, Casey T., Johnson, Brandon N., Kallsen, Noah, Hottenga, Jouke Jan, de Geus, Eco J. C., Boomsma, Dorret I., Ehli, Erik A., van Dongen, Jenny
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10572275/
https://www.ncbi.nlm.nih.gov/pubmed/37834090
http://dx.doi.org/10.3390/ijms241914640
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author Van Asselt, Austin J.
Beck, Jeffrey J.
Finnicum, Casey T.
Johnson, Brandon N.
Kallsen, Noah
Hottenga, Jouke Jan
de Geus, Eco J. C.
Boomsma, Dorret I.
Ehli, Erik A.
van Dongen, Jenny
author_facet Van Asselt, Austin J.
Beck, Jeffrey J.
Finnicum, Casey T.
Johnson, Brandon N.
Kallsen, Noah
Hottenga, Jouke Jan
de Geus, Eco J. C.
Boomsma, Dorret I.
Ehli, Erik A.
van Dongen, Jenny
author_sort Van Asselt, Austin J.
collection PubMed
description The field of DNA methylation research is rapidly evolving, focusing on disease and phenotype changes over time using methylation measurements from diverse tissue sources and multiple array platforms. Consequently, identifying the extent of longitudinal, inter-tissue, and inter-platform variation in DNA methylation is crucial for future advancement. DNA methylation was measured in 375 individuals, with 197 of those having 2 blood sample measurements ~10 years apart. Whole-blood samples were measured on Illumina Infinium 450K and EPIC methylation arrays, and buccal samples from a subset of 58 participants were measured on EPIC array. The data were analyzed with the aims to examine the correlation between methylation levels in longitudinal blood samples in 197 individuals, examine the correlation between methylation levels in the blood and buccal samples in 58 individuals, and examine the correlation between blood methylation profiles assessed on the EPIC and 450K arrays in 83 individuals. We identified 136,833, 7674, and 96,891 CpGs significantly and strongly correlated (>0.50) longitudinally, across blood and buccal samples as well as array platforms, respectively. A total of 3674 of these CpGs were shared across all three sets. Analysis of these shared CpGs identified previously found associations with aging, ancestry, and 7016 mQTLs as well.
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spelling pubmed-105722752023-10-14 Genome-Wide DNA Methylation Profiles in Whole-Blood and Buccal Samples—Cross-Sectional, Longitudinal, and across Platforms Van Asselt, Austin J. Beck, Jeffrey J. Finnicum, Casey T. Johnson, Brandon N. Kallsen, Noah Hottenga, Jouke Jan de Geus, Eco J. C. Boomsma, Dorret I. Ehli, Erik A. van Dongen, Jenny Int J Mol Sci Article The field of DNA methylation research is rapidly evolving, focusing on disease and phenotype changes over time using methylation measurements from diverse tissue sources and multiple array platforms. Consequently, identifying the extent of longitudinal, inter-tissue, and inter-platform variation in DNA methylation is crucial for future advancement. DNA methylation was measured in 375 individuals, with 197 of those having 2 blood sample measurements ~10 years apart. Whole-blood samples were measured on Illumina Infinium 450K and EPIC methylation arrays, and buccal samples from a subset of 58 participants were measured on EPIC array. The data were analyzed with the aims to examine the correlation between methylation levels in longitudinal blood samples in 197 individuals, examine the correlation between methylation levels in the blood and buccal samples in 58 individuals, and examine the correlation between blood methylation profiles assessed on the EPIC and 450K arrays in 83 individuals. We identified 136,833, 7674, and 96,891 CpGs significantly and strongly correlated (>0.50) longitudinally, across blood and buccal samples as well as array platforms, respectively. A total of 3674 of these CpGs were shared across all three sets. Analysis of these shared CpGs identified previously found associations with aging, ancestry, and 7016 mQTLs as well. MDPI 2023-09-27 /pmc/articles/PMC10572275/ /pubmed/37834090 http://dx.doi.org/10.3390/ijms241914640 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Van Asselt, Austin J.
Beck, Jeffrey J.
Finnicum, Casey T.
Johnson, Brandon N.
Kallsen, Noah
Hottenga, Jouke Jan
de Geus, Eco J. C.
Boomsma, Dorret I.
Ehli, Erik A.
van Dongen, Jenny
Genome-Wide DNA Methylation Profiles in Whole-Blood and Buccal Samples—Cross-Sectional, Longitudinal, and across Platforms
title Genome-Wide DNA Methylation Profiles in Whole-Blood and Buccal Samples—Cross-Sectional, Longitudinal, and across Platforms
title_full Genome-Wide DNA Methylation Profiles in Whole-Blood and Buccal Samples—Cross-Sectional, Longitudinal, and across Platforms
title_fullStr Genome-Wide DNA Methylation Profiles in Whole-Blood and Buccal Samples—Cross-Sectional, Longitudinal, and across Platforms
title_full_unstemmed Genome-Wide DNA Methylation Profiles in Whole-Blood and Buccal Samples—Cross-Sectional, Longitudinal, and across Platforms
title_short Genome-Wide DNA Methylation Profiles in Whole-Blood and Buccal Samples—Cross-Sectional, Longitudinal, and across Platforms
title_sort genome-wide dna methylation profiles in whole-blood and buccal samples—cross-sectional, longitudinal, and across platforms
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10572275/
https://www.ncbi.nlm.nih.gov/pubmed/37834090
http://dx.doi.org/10.3390/ijms241914640
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