Literature DB >> 23454111

Applications of physiological bases of ageing to forensic sciences. Estimation of age-at-death.

Sara C Zapico1, Douglas H Ubelaker.   

Abstract

Age-at-death estimation is one of the main challenges in forensic sciences since it contributes to the identification of individuals. There are many anthropological techniques to estimate the age at death in children and adults. However, in adults this methodology is less accurate and requires population specific references. For that reason, new methodologies have been developed. Biochemical methods are based on the natural process of ageing, which induces different biochemical changes that lead to alterations in cells and tissues. In this review, we describe different attempts to estimate the age in adults based on these changes. Chemical approaches imply modifications in molecules or accumulation of some products. Molecular biology approaches analyze the modifications in DNA and chromosomes. Although the most accurate technique appears to be aspartic acid racemization, it is important to take into account the other techniques because the forensic context and the human remains available will determine the possibility to apply one or another methodology.
Copyright © 2013 Elsevier B.V. All rights reserved.

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Year:  2013        PMID: 23454111     DOI: 10.1016/j.arr.2013.02.002

Source DB:  PubMed          Journal:  Ageing Res Rev        ISSN: 1568-1637            Impact factor:   10.895


  12 in total

1.  Improved age determination of blood and teeth samples using a selected set of DNA methylation markers.

Authors:  Bram Bekaert; Aubeline Kamalandua; Sara C Zapico; Wim Van de Voorde; Ronny Decorte
Journal:  Epigenetics       Date:  2015-08-17       Impact factor: 4.528

2.  The role of multislice computed tomography of the costal cartilage in adult age estimation.

Authors:  Kui Zhang; Fei Fan; Meng Tu; Jing-Hui Cui; Jing-Song Li; Zhao Peng; Zhen-Hua Deng
Journal:  Int J Legal Med       Date:  2017-07-17       Impact factor: 2.686

3.  Usefulness of telomere length in DNA from human teeth for age estimation.

Authors:  Ana Belén Márquez-Ruiz; Lucas González-Herrera; Aurora Valenzuela
Journal:  Int J Legal Med       Date:  2017-04-24       Impact factor: 2.686

4.  Age estimation based on different molecular clocks in several tissues and a multivariate approach: an explorative study.

Authors:  Julia Becker; Nina Sophia Mahlke; A Reckert; S B Eickhoff; S Ritz-Timme
Journal:  Int J Legal Med       Date:  2019-04-11       Impact factor: 2.686

5.  Application of Aspartic Acid Racemization for Age Estimation in a Spanish Sample.

Authors:  Sara C Zapico; Douglas H Ubelaker
Journal:  Biology (Basel)       Date:  2022-06-03

Review 6.  mtDNA Mutations and Their Role in Aging, Diseases and Forensic Sciences.

Authors:  Sara C Zapico; Douglas H Ubelaker
Journal:  Aging Dis       Date:  2013-10-03       Impact factor: 6.745

7.  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 8.  Estimation of age in forensic anthropology: historical perspective and recent methodological advances.

Authors:  Douglas H Ubelaker; Haley Khosrowshahi
Journal:  Forensic Sci Res       Date:  2019-03-19

9.  Evaluation of six blood-based age prediction models using DNA methylation analysis by pyrosequencing.

Authors:  Antoine Daunay; Laura G Baudrin; Jean-François Deleuze; Alexandre How-Kit
Journal:  Sci Rep       Date:  2019-06-20       Impact factor: 4.379

10.  Improvements and inter-laboratory implementation and optimization of blood-based single-locus age prediction models using DNA methylation of the ELOVL2 promoter.

Authors:  Imene Garali; Mourad Sahbatou; Antoine Daunay; Laura G Baudrin; Victor Renault; Yosra Bouyacoub; Jean-François Deleuze; Alexandre How-Kit
Journal:  Sci Rep       Date:  2020-09-24       Impact factor: 4.379

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