Literature DB >> 29933125

Tracking age-correlated DNA methylation markers in the young.

Ana Freire-Aradas1, Christopher Phillips2, Lorena Girón-Santamaría2, Ana Mosquera-Miguel2, Antonio Gómez-Tato3, M Ángeles Casares de Cal3, Jose Álvarez-Dios3, Maria Victoria Lareu3.   

Abstract

DNA methylation is the most extensively studied epigenetic signature, with a large number of studies reporting age-correlated CpG sites in overlapping genes. However, most of these studies lack sample coverage of individuals under 18 years old and therefore little is known about the progression of DNA methylation patterns in children and adolescents. In the present study we aimed to select candidate age-correlated DNA methylation markers based on public datasets from Illumina BeadChip arrays and previous publications, then to explore the resulting markers in 209 blood samples from donors aged between 2 to 18 years old using the EpiTYPER® DNA methylation analysis system. Results from our analyses identified six genes highly correlated with age in the young, in particular the gene KCNAB3, which indicates its potential as a highly informative and specific age biomarker for childhood and adolescence. We outline a preliminary age prediction model based on quantile regression that uses data from the six CpG sites most strongly correlated with age ranges extended to include children and adolescents.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Adolescents; Age estimation; Children; DNA methylation; EpiTYPER(®); Illumina; Individual age

Mesh:

Substances:

Year:  2018        PMID: 29933125     DOI: 10.1016/j.fsigen.2018.06.011

Source DB:  PubMed          Journal:  Forensic Sci Int Genet        ISSN: 1872-4973            Impact factor:   4.882


  8 in total

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Review 2.  Patterns of DNA methylation as an indicator of biological aging: State of the science and future directions in precision health promotion.

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5.  Detecting multiple differentially methylated CpG sites and regions related to dimensional psychopathology in youths.

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Journal:  Clin Epigenetics       Date:  2019-10-21       Impact factor: 6.551

6.  Development of the VISAGE enhanced tool and statistical models for epigenetic age estimation in blood, buccal cells and bones.

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Journal:  Aging (Albany NY)       Date:  2021-03-11       Impact factor: 5.682

7.  Altered DNA methylation at age-associated CpG sites in children with growth disorders: impact on age estimation?

Authors:  F Mayer; J Becker; C Reinauer; P Böhme; S B Eickhoff; B Koop; T Gündüz; J Blum; W Wagner; S Ritz-Timme
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8.  DNA methylation profile is a quantitative measure of biological aging in children.

Authors:  Xiaohui Wu; Weidan Chen; Fangqin Lin; Qingsheng Huang; Jiayong Zhong; Huan Gao; Yanyan Song; Huiying Liang
Journal:  Aging (Albany NY)       Date:  2019-11-22       Impact factor: 5.682

  8 in total

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