Literature DB >> 28854399

Detection and evaluation of DNA methylation markers found at SCGN and KLF14 loci to estimate human age.

Hussain Alghanim1, Joana Antunes2, Deborah Soares Bispo Santos Silva3, Clarice Sampaio Alho4, Kuppareddi Balamurugan5, Bruce McCord6.   

Abstract

Recent developments in the analysis of epigenetic DNA methylation patterns have demonstrated that certain genetic loci show a linear correlation with chronological age. It is the goal of this study to identify a new set of epigenetic methylation markers for the forensic estimation of human age. A total number of 27 CpG sites at three genetic loci, SCGN, DLX5 and KLF14, were examined to evaluate the correlation of their methylation status with age. These sites were evaluated using 72 blood samples and 91 saliva samples collected from volunteers with ages ranging from 5 to 73 years. DNA was bisulfite modified followed by PCR amplification and pyrosequencing to determine the level of DNA methylation at each CpG site. In this study, certain CpG sites in SCGN and KLF14 loci showed methylation levels that were correlated with chronological age, however, the tested CpG sites in DLX5 did not show a correlation with age. Using a 52-saliva sample training set, two age-predictor models were developed by means of a multivariate linear regression analysis for age prediction. The two models performed similarly with a single-locus model explaining 85% of the age variance at a mean absolute deviation of 5.8 years and a dual-locus model explaining 84% of the age variance with a mean absolute deviation of 6.2 years. In the validation set, the mean absolute deviation was measured to be 8.0 years and 7.1 years for the single- and dual-locus model, respectively. Another age predictor model was also developed using a 40-blood sample training set that accounted for 71% of the age variance. This model gave a mean absolute deviation of 6.6 years for the training set and 10.3years for the validation set. The results indicate that specific CpGs in SCGN and KLF14 can be used as potential epigenetic markers to estimate age using saliva and blood specimens. These epigenetic markers could provide important information in cases where the determination of a suspect's age is critical in developing investigative leads.
Copyright © 2017. Published by Elsevier B.V.

Entities:  

Keywords:  Age prediction; DNA methylation; Epigenetic; Forensic; Pyrosequencing

Mesh:

Substances:

Year:  2017        PMID: 28854399     DOI: 10.1016/j.fsigen.2017.07.011

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


  3 in total

1.  Identifying Methylation Patterns in Dental Pulp Aging: Application to Age-at-Death Estimation in Forensic Anthropology.

Authors:  Sara C Zapico; Quentin Gauthier; Aleksandra Antevska; Bruce R McCord
Journal:  Int J Mol Sci       Date:  2021-04-02       Impact factor: 5.923

2.  Novel feature selection methods for construction of accurate epigenetic clocks.

Authors:  Adam Li; Amber Mueller; Brad English; Anthony Arena; Daniel Vera; Alice E Kane; David A Sinclair
Journal:  PLoS Comput Biol       Date:  2022-08-19       Impact factor: 4.779

3.  EZH2-mediated inhibition of KLF14 expression promotes HSCs activation and liver fibrosis by downregulating PPARγ.

Authors:  Zhipeng Du; Mei Liu; Zhihui Wang; Zhuoying Lin; Yangyang Feng; Dean Tian; Limin Xia
Journal:  Cell Prolif       Date:  2021-05-24       Impact factor: 6.831

  3 in total

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