Journals / Aurum Journal of Health Sciences / 2020 / Cilt: 2 - Sayı: 1

Epigenetic Approach in Forensic Age Estimation

Pages
11–19
Publication Date
2020-01-31
DOI
—
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The aim of this study is to reveal the latest developments in the field of epigenetics and evaluation of the use of epigenetic-based age estimates for forensic purposes.

📌 3 Key Takeaways

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Objective & Hypothesis:Age estimation study is a very important research area that contributes to the solution of the forensic case by helping to identify the identity in forensic sciences.
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Key Findings & Data:The use of genetic analyses for forensic purposes started with the Restriction Fragment Length Polymorphism (RFLP) analysis in the late 1980s and developed with Short Tandem Repeats (STR) analysis.
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Conclusion & Impact:The aim of this study is to reveal the latest developments in the field of epigenetics and evaluation of the use of epigenetic-based age estimates for forensic purposes.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Forensic genetic · epigenetic · DNA methylation

Abstract

Age estimation study is a very important research area that contributes to the solution of the forensic case by helping to identify the identity in forensic sciences. Human age estimation in the traditional way is performed by analysis of bony marks on bones and teeth. An analysis of the age estimation of biological samples from the use of genetic analysis has not yet become part of routine practice. The use of genetic analyses for forensic purposes started with the Restriction Fragment Length Polymorphism (RFLP) analysis in the late 1980s and developed with Short Tandem Repeats (STR) analysis. Along with the technological developments in forensic genetics, progress has continued with single nucleotide polymorphism (SNP) analysis, which enables the identification of hair, eye and skin color and geographic infrastructure of an unknown sample in forensic case resolution. However, recent studies in forensic genetics have focused on epigenetic mechanisms and it has been discovered that DNA methylation can be used in case resolution for forensic age estimation. With the development of DNA methylation studies, a quantitative statistical relationship has been established between DNA methylation and different age groups. T he r esults have been obtained with ± 3-4 age prediction accuracy using DNA methylation markers (CpG regions) tested to date with different methodological approaches. Thus, with the advancement of epigenetic studies in the fields of forensic sciences, the phenotypic features of the DNA of the evidence samples have been estimated with some error rates. The aim of this study is to reveal the latest developments in the field of epigenetics and evaluation of the use of epigenetic-based age estimates for forensic purposes.

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Cite This Article

KARADAYI, Ş., SEZGİN, N., KARADAYI, B. (2020). Epigenetic Approach in Forensic Age Estimation. Aurum Journal of Health Sciences, Cilt: 2 - Sayı: 1, 11–19. https://ajindex.com/articles/825985

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References (10)

  1. Ammerpohl, O., Martin-Subero, J. I., Richter, J., Vater, I., Siebert, R. (2009). Hunting for the 5th base: techniques for analyzing DNA methylation. Biochim. Biophys. Acta, 1790, 847–862.
  2. Andrew, T., Calloway, C. D., Stuart, S., Lee, S. H., Gill, R., Clement, G., Chowienczyk, P., Spector, T. D., Valdes, A. M. A. (2011). Twin study of mitochondrial DNA polymorphisms shows that heteroplasmy at multiple sites is associated with mtDNA variant 16093 but not with zygosity. PLoS One, 6(8), e22332. Beerman, I., Bock, C., Garrison, B. S., Smith, Z. D., Gu, H., Meissner, A., Rossi, D. J. (2013). Proliferation-dependent alterations of the DNA methylation landscape underlie hematopoietic stem cell aging. Cell Stem Cell, 12, 413–425.
  3. Bekaert, B., Kamalandua, A., Zapico, S. C., Voorde, W. V., Decorte, R. (2015). Improved age determination of blood and teeth samples Using a selected set of DNA methylation markers. Epigenetics, 10(10), 922-930.
  4. Blasco, M. A. (2005). Telomeres and human disease: ageing, cancer and beyond. Nat. Rev. Genet, 6, 611–622.
  5. Bocklandt, S., Lin, W., Sehl, M., Sanchez, F., Sinsheimer, J., Horvath, S., Vilain, E. (2011). Epigenetic predictor of age. PLos ONE, 6(6), e14821 (1–6).
  6. Day, K., Waite, L. L., Mercer, A. T., West, A., Bamman, M. M., Brooks, J. D., Myers, R. M., Absher D. (2013). Differential DNA methylation with age displays both common and dynamic features across human tissues that are influenced by CpG landscape. Genome Biol, 14, 1–19.
  7. Florath, I., Butterbach, K., Muller, H., Bewerunge-Hudler, M., Brenner, H. (2014). Cross-sectional and longitudinal changes in DNA methylation with age: an epigenome-wide analysis revealing over 60 novel age-associated CpG sites. Hum. Mol. Genet, 23, 1186–1201.
  8. Fraga, M., Ballestar, E., Paz, M., Ropero, S., Setien, F., Ballestar, M., Heine-Suner, D., Cigudosa,J. et al. (2005). Epigenetic differences arise during the lifetime of monozygotic twins. Proc. Natl. Acad. Sci, 102, 10604–10609.
  9. Fraser, H. B., Lam, L. L., Neumann, S. M., Kobor, M. S. (2012). Population-specificity of human DNA methylation. Genome Biol, 13, R8. Garagnani, P., Bacalini, M.G., Pirazzini, C., Gori, D., Giuliani, C., Mari, D., et al. (2012). Methylation of ELOVL2 gene as a new epigenetic marker of age. Aging Cell, 11, 1132–1134.
  10. Gentilini, D., Mari, D., Castaldi, D., Remondini, D., Ogliari, G. Ostan, R., Bucci, L., Sirchia, S.M., Tabano, S., Cavagnini, F. (2013). Role of epigenetics in human aging and longevity: genome-wide DNA methylation