Literature DB >> 26057119

Epigenetic age signatures in the forensically relevant body fluid of semen: a preliminary study.

Hwan Young Lee1, Sang-Eun Jung2, Yu Na Oh2, Ajin Choi2, Woo Ick Yang2, Kyoung-Jin Shin2.   

Abstract

To date, DNA methylation has been regarded as the most promising age-predictive biomarker. In support of this, several researchers have reported age predictive models based on the use of blood or even across a broad spectrum of tissues. However, there have been no publications that report epigenetic age signatures from semen, one of the most forensically relevant body fluids. In genome-wide DNA methylation profiles of 36 body fluids including blood, saliva, and semen, the previous age predictive models showed considerable prediction accuracy in blood and saliva but not in semen. Therefore, we selected CpG sites, whose methylation levels are strongly correlated with age in 12 semen profiles obtained from individuals of different ages, and investigated DNA methylation changes at these CpGs in 68 additional semen samples obtained from individuals aged 20 to 73 years using methylation SNaPshot reaction. Among the selected age-related CpG candidates, outstanding age correlation was obtained at cg06304190 in the TTC7B gene. Interestingly, the region around the TTC7B gene has been reported to show age-related DNA methylation alteration in the sperm methylome of 2 samples collected from individuals at certain time intervals. The age-predictive linear regression model trained with 3 CpGs (cg06304190 in the TTC7B gene, cg06979108 in the NOX4 gene and cg12837463) showed a high correlation between the predicted age and the chronological age, with an average absolute difference of approximately 5 years. These selected epigenetic age signatures are expected to be useful for considerably accurate age estimation in the forensically relevant body fluid of semen. However, because the findings were limited by small sample size, it will be necessary to further evaluate the age correlation of the selected CpGs and to encourage further investigation.
Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Age; DNA methylation; Forensic science; NOX4; Semen; TTC7B

Mesh:

Year:  2015        PMID: 26057119     DOI: 10.1016/j.fsigen.2015.05.014

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


  15 in total

1.  Intra- and inter-individual differences in human sperm DNA methylation.

Authors:  E Dere; S Huse; K Hwang; M Sigman; K Boekelheide
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2.  Predicting Chronological Age from DNA Methylation Data: A Machine Learning Approach for Small Datasets and Limited Predictors.

Authors:  Anastasia Aliferi; David Ballard
Journal:  Methods Mol Biol       Date:  2022

3.  Estimage: a webserver hub for the computation of methylation age.

Authors:  Pietro Di Lena; Claudia Sala; Christine Nardini
Journal:  Nucleic Acids Res       Date:  2021-07-02       Impact factor: 16.971

4.  From stem cells to the law courts: DNA methylation, the forensic epigenome and the possibility of a biosocial archive.

Authors:  Caroline L Relton; Fernando Pires Hartwig; George Davey Smith
Journal:  Int J Epidemiol       Date:  2015-08       Impact factor: 7.196

Review 5.  DNA methylation-based age prediction from various tissues and body fluids.

Authors:  Sang-Eun Jung; Kyoung-Jin Shin; Hwan Young Lee
Journal:  BMB Rep       Date:  2017-11       Impact factor: 4.778

6.  Forensic age prediction for saliva samples using methylation-sensitive high resolution melting: exploratory application for cigarette butts.

Authors:  Yuya Hamano; Sho Manabe; Chie Morimoto; Shuntaro Fujimoto; Keiji Tamaki
Journal:  Sci Rep       Date:  2017-09-05       Impact factor: 4.379

7.  From forensic epigenetics to forensic epigenomics: broadening DNA investigative intelligence.

Authors:  Athina Vidaki; Manfred Kayser
Journal:  Genome Biol       Date:  2017-12-21       Impact factor: 13.583

8.  DNA methylation-based forensic age prediction using artificial neural networks and next generation sequencing.

Authors:  Athina Vidaki; David Ballard; Anastasia Aliferi; Thomas H Miller; Leon P Barron; Denise Syndercombe Court
Journal:  Forensic Sci Int Genet       Date:  2017-02-28       Impact factor: 4.882

Review 9.  Forensic DNA methylation profiling from evidence material for investigative leads.

Authors:  Hwan Young Lee; Soong Deok Lee; Kyoung-Jin Shin
Journal:  BMB Rep       Date:  2016-07       Impact factor: 4.778

10.  Epigenetic clocks reveal a rejuvenation event during embryogenesis followed by aging.

Authors:  Csaba Kerepesi; Bohan Zhang; Sang-Goo Lee; Alexandre Trapp; Vadim N Gladyshev
Journal:  Sci Adv       Date:  2021-06-25       Impact factor: 14.136

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