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Evaluation of Epigenetic Age Based on DNA Methylation Analysis of Several CpG Sites in Ukrainian Population

Epigenetic clocks are the models, which use CpG methylation levels for the age prediction of an organism. Although there were several epigenetic clocks developed there is a demand for development and evaluation of the relatively accurate and sensitive epigenetic clocks that can be used for routine r...

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Autores principales: Kuzub, N., Smialkovska, V., Momot, V., Moseiko, V., Lushchak, O., Koliada, A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8770732/
https://www.ncbi.nlm.nih.gov/pubmed/35069680
http://dx.doi.org/10.3389/fgene.2021.772298
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author Kuzub, N.
Smialkovska, V.
Momot, V.
Moseiko, V.
Lushchak, O.
Koliada, A.
author_facet Kuzub, N.
Smialkovska, V.
Momot, V.
Moseiko, V.
Lushchak, O.
Koliada, A.
author_sort Kuzub, N.
collection PubMed
description Epigenetic clocks are the models, which use CpG methylation levels for the age prediction of an organism. Although there were several epigenetic clocks developed there is a demand for development and evaluation of the relatively accurate and sensitive epigenetic clocks that can be used for routine research purposes. In this study, we evaluated two epigenetic clock models based on the 4 CpG sites and 2 CpG sites in the human genome using the pyrosequencing method for their methylation level estimation. The study sample included 153 people from the Ukrainian population with the age from 0 to 101. Both models showed a high correlation with the chronological age in our study sample (R(2) = 0.85 for the 2 CpG model and R(2) = 0.92 for the 4 CpG model). We also estimated the accuracy metrics of the age prediction in our study sample. For the age group from 18 to 80 MAD was 5.1 years for the 2 CpG model and 4.1 years for the 4 CpG model. In this regard, we can conclude, that the models evaluated in the study have good age predictive accuracy, and can be used for the epigenetic age evaluation due to the relative simplicity and time-effectiveness.
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spelling pubmed-87707322022-01-21 Evaluation of Epigenetic Age Based on DNA Methylation Analysis of Several CpG Sites in Ukrainian Population Kuzub, N. Smialkovska, V. Momot, V. Moseiko, V. Lushchak, O. Koliada, A. Front Genet Genetics Epigenetic clocks are the models, which use CpG methylation levels for the age prediction of an organism. Although there were several epigenetic clocks developed there is a demand for development and evaluation of the relatively accurate and sensitive epigenetic clocks that can be used for routine research purposes. In this study, we evaluated two epigenetic clock models based on the 4 CpG sites and 2 CpG sites in the human genome using the pyrosequencing method for their methylation level estimation. The study sample included 153 people from the Ukrainian population with the age from 0 to 101. Both models showed a high correlation with the chronological age in our study sample (R(2) = 0.85 for the 2 CpG model and R(2) = 0.92 for the 4 CpG model). We also estimated the accuracy metrics of the age prediction in our study sample. For the age group from 18 to 80 MAD was 5.1 years for the 2 CpG model and 4.1 years for the 4 CpG model. In this regard, we can conclude, that the models evaluated in the study have good age predictive accuracy, and can be used for the epigenetic age evaluation due to the relative simplicity and time-effectiveness. Frontiers Media S.A. 2022-01-06 /pmc/articles/PMC8770732/ /pubmed/35069680 http://dx.doi.org/10.3389/fgene.2021.772298 Text en Copyright © 2022 Kuzub, Smialkovska, Momot, Moseiko, Lushchak and Koliada. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Genetics
Kuzub, N.
Smialkovska, V.
Momot, V.
Moseiko, V.
Lushchak, O.
Koliada, A.
Evaluation of Epigenetic Age Based on DNA Methylation Analysis of Several CpG Sites in Ukrainian Population
title Evaluation of Epigenetic Age Based on DNA Methylation Analysis of Several CpG Sites in Ukrainian Population
title_full Evaluation of Epigenetic Age Based on DNA Methylation Analysis of Several CpG Sites in Ukrainian Population
title_fullStr Evaluation of Epigenetic Age Based on DNA Methylation Analysis of Several CpG Sites in Ukrainian Population
title_full_unstemmed Evaluation of Epigenetic Age Based on DNA Methylation Analysis of Several CpG Sites in Ukrainian Population
title_short Evaluation of Epigenetic Age Based on DNA Methylation Analysis of Several CpG Sites in Ukrainian Population
title_sort evaluation of epigenetic age based on dna methylation analysis of several cpg sites in ukrainian population
topic Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8770732/
https://www.ncbi.nlm.nih.gov/pubmed/35069680
http://dx.doi.org/10.3389/fgene.2021.772298
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