Literature DB >> 25399049

Age-related DNA methylation changes for forensic age-prediction.

Shao Hua Yi1, Yun Shu Jia, Kun Mei, Rong Zhi Yang, Dai Xin Huang.   

Abstract

There is no available method of age-prediction for biological samples. The accumulating evidences indicate that DNA methylation patterns change with age. Aging resembles a developmentally regulated process that is tightly controlled by specific epigenetic modifications and age-associated methylation changes exist in human genome. In this study, three age-related methylation fragments were isolated and identified in blood of 40 donors. Age-related methylation changes with each fragment was validated and replicated in a general population sample of 65 donors over a wide age range (11-72 years). Methylation of these fragments is linearly correlated with age over a range of six decades (r = 0.80-0.88). Using average methylation of CpG sites of three fragments, a regression model that explained 95 % of the variance in age was built and is able to predict an individual's age with great accuracy (R (2 )= 0.93). The predicted value is highly correlated with the observed age in the sample (r = 0.96) and has great accuracy of average 4 years difference between predicted age and true age. This study implicates that DNA methylation can be an available biological marker of age-prediction. Further measurement of relevant markers in the genome could be a tool in routine screening to predict age of forensic biological samples.

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Year:  2014        PMID: 25399049     DOI: 10.1007/s00414-014-1100-3

Source DB:  PubMed          Journal:  Int J Legal Med        ISSN: 0937-9827            Impact factor:   2.686


  36 in total

1.  Age related changes in 5-methylcytosine content in human peripheral leukocytes and placentas: an HPLC-based study.

Authors:  C Fuke; M Shimabukuro; A Petronis; J Sugimoto; T Oda; K Miura; T Miyazaki; C Ogura; Y Okazaki; Y Jinno
Journal:  Ann Hum Genet       Date:  2004-05       Impact factor: 1.670

2.  Isolation and identification of age-related DNA methylation markers for forensic age-prediction.

Authors:  Shao Hua Yi; Long Chang Xu; Kun Mei; Rong Zhi Yang; Dai Xin Huang
Journal:  Forensic Sci Int Genet       Date:  2014-03-22       Impact factor: 4.882

3.  Quantitative high-throughput analysis of DNA methylation patterns by base-specific cleavage and mass spectrometry.

Authors:  Mathias Ehrich; Matthew R Nelson; Patrick Stanssens; Marc Zabeau; Triantafillos Liloglou; George Xinarianos; Charles R Cantor; John K Field; Dirk van den Boom
Journal:  Proc Natl Acad Sci U S A       Date:  2005-10-21       Impact factor: 11.205

4.  Tissue specific differentially methylated regions (TDMR): Changes in DNA methylation during development.

Authors:  Fei Song; Saleh Mahmood; Srimoyee Ghosh; Ping Liang; Domminic J Smiraglia; Hiroki Nagase; William A Held
Journal:  Genomics       Date:  2008-11-13       Impact factor: 5.736

Review 5.  Methylation-sensitive representational difference analysis and its application to cancer research.

Authors:  Atsushi Kaneda; Daiya Takai; Michio Kaminishi; Eriko Okochi; Toshikazu Ushijima
Journal:  Ann N Y Acad Sci       Date:  2003-03       Impact factor: 5.691

6.  Genome-wide methylation profiles reveal quantitative views of human aging rates.

Authors:  Gregory Hannum; Justin Guinney; Ling Zhao; Li Zhang; Guy Hughes; SriniVas Sadda; Brandy Klotzle; Marina Bibikova; Jian-Bing Fan; Yuan Gao; Rob Deconde; Menzies Chen; Indika Rajapakse; Stephen Friend; Trey Ideker; Kang Zhang
Journal:  Mol Cell       Date:  2012-11-21       Impact factor: 17.970

7.  Predicting human age with bloodstains by sjTREC quantification.

Authors:  Xue-ling Ou; Jun Gao; Huan Wang; Hong-sheng Wang; Hui-ling Lu; Hong-yu Sun
Journal:  PLoS One       Date:  2012-08-03       Impact factor: 3.240

8.  Epigenetic predictor of age.

Authors:  Sven Bocklandt; Wen Lin; Mary E Sehl; Francisco J Sánchez; Janet S Sinsheimer; Steve Horvath; Eric Vilain
Journal:  PLoS One       Date:  2011-06-22       Impact factor: 3.240

9.  Replicative senescence of mesenchymal stem cells causes DNA-methylation changes which correlate with repressive histone marks.

Authors:  Anne Schellenberg; Qiong Lin; Herdit Schüler; Carmen M Koch; Sylvia Joussen; Bernd Denecke; Gudrun Walenda; Norbert Pallua; Christoph V Suschek; Martin Zenke; Wolfga Wagner
Journal:  Aging (Albany NY)       Date:  2011-09       Impact factor: 5.682

10.  Genomic profiling of CpG methylation and allelic specificity using quantitative high-throughput mass spectrometry: critical evaluation and improvements.

Authors:  Marcel W Coolen; Aaron L Statham; Margaret Gardiner-Garden; Susan J Clark
Journal:  Nucleic Acids Res       Date:  2007-09-13       Impact factor: 16.971

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  7 in total

1.  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

2.  Epigenetic age predictions based on buccal swabs are more precise in combination with cell type-specific DNA methylation signatures.

Authors:  Monika Eipel; Felix Mayer; Tanja Arent; Marcelo R P Ferreira; Carina Birkhofer; Uwe Gerstenmaier; Ivan G Costa; Stefanie Ritz-Timme; Wolfgang Wagner
Journal:  Aging (Albany NY)       Date:  2016-05       Impact factor: 5.682

3.  Analysis of DNA methylation of potential age-related methylation sites in canine peripheral blood leukocytes.

Authors:  Genta Ito; Kuniko Yoshimura; Yasuyuki Momoi
Journal:  J Vet Med Sci       Date:  2017-03-04       Impact factor: 1.267

4.  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

5.  Human Age Prediction Based on DNA Methylation Using a Gradient Boosting Regressor.

Authors:  Xingyan Li; Weidong Li; Yan Xu
Journal:  Genes (Basel)       Date:  2018-08-21       Impact factor: 4.096

6.  MapReduce-Based Parallel Genetic Algorithm for CpG-Site Selection in Age Prediction.

Authors:  Zahra Momeni; Mohammad Saniee Abadeh
Journal:  Genes (Basel)       Date:  2019-11-25       Impact factor: 4.096

7.  AgeGuess, a Methylomic Prediction Model for Human Ages.

Authors:  Xiaoqian Gao; Shuai Liu; Haoqiu Song; Xin Feng; Meiyu Duan; Lan Huang; Fengfeng Zhou
Journal:  Front Bioeng Biotechnol       Date:  2020-03-10
  7 in total

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