Literature DB >> 30031222

Proof of concept study of age-dependent DNA methylation markers across different tissues by massive parallel sequencing.

Jana Naue1, Timo Sänger2, Huub C J Hoefsloot3, Sabine Lutz-Bonengel2, Ate D Kloosterman4, Pernette J Verschure5.   

Abstract

The use of DNA methylation (DNAm) for chronological age determination has been widely investigated within the last few years for its application within the field of forensic genetics. The majority of forensic studies are based on blood, saliva, and buccal cell samples, respectively. Although these types of samples represent an extensive amount of traces found at a crime scene or are readily available from individuals, samples from other tissues can be relevant for forensic investigations. Age determination could be important for cases involving unidentifiable bodies and based on remaining soft tissue e.g. brain and muscle, or completely depend on hard tissue such as bone. However, due to the cell type specificity of DNAm, it is not evident whether cell type specific age-dependent CpG positions are also applicable for age determination in other cell types. Within this pilot study, we investigated whether 13 previously selected age-dependent loci based on whole blood analysis including amongst others ELOVL2, TRIM59, F5, and KLF14 also have predictive value in other forensically relevant tissues. Samples of brain, bone, muscle, buccal swabs, and whole blood of 29 deceased individuals (age range 0-87 years) were analyzed for these 13 age-dependent markers using massive parallel sequencing. Seven of these loci did show age-dependency in all five tissues. The change of DNAm during lifetime was different in the set of tissues analyzed, and sometimes other CpG sites within the loci showed a higher age-dependency. This pilot study shows the potential of existing blood DNAm markers for age-determination to analyze other tissues than blood. We identified seven known blood-based DNAm markers for use in muscle, brain, bone, buccal swabs, and blood. Nevertheless, a different reference set for each tissue is needed to adapt for tissue-specific changes of the DNAm over time.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Age determination; DNA methylation; Forensic epigenetics; Massive parallel sequencing

Mesh:

Substances:

Year:  2018        PMID: 30031222     DOI: 10.1016/j.fsigen.2018.07.007

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


  8 in total

1.  DNA methylation levels and telomere length in human teeth: usefulness for age estimation.

Authors:  Ana Belén Márquez-Ruiz; Lucas González-Herrera; Juan de Dios Luna; Aurora Valenzuela
Journal:  Int J Legal Med       Date:  2020-01-02       Impact factor: 2.686

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.  Postmortem age estimation via DNA methylation analysis in buccal swabs from corpses in different stages of decomposition-a "proof of principle" study.

Authors:  Barbara Elisabeth Koop; Felix Mayer; Tanju Gündüz; Jacqueline Blum; Julia Becker; Judith Schaffrath; Wolfgang Wagner; Yang Han; Petra Boehme; Stefanie Ritz-Timme
Journal:  Int J Legal Med       Date:  2020-07-07       Impact factor: 2.686

4.  Targeted methods for epigenetic age predictions in mice.

Authors:  Yang Han; Miloš Nikolić; Michael Gobs; Julia Franzen; Gerald de Haan; Hartmut Geiger; Wolfgang Wagner
Journal:  Sci Rep       Date:  2020-12-31       Impact factor: 4.379

5.  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

6.  Development of the VISAGE enhanced tool and statistical models for epigenetic age estimation in blood, buccal cells and bones.

Authors:  Anna Woźniak; Antonia Heidegger; Danuta Piniewska-Róg; Ewelina Pośpiech; Catarina Xavier; Aleksandra Pisarek; Ewa Kartasińska; Michał Boroń; Ana Freire-Aradas; Marta Wojtas; Maria de la Puente; Harald Niederstätter; Rafał Płoski; Magdalena Spólnicka; Manfred Kayser; Christopher Phillips; Walther Parson; Wojciech Branicki
Journal:  Aging (Albany NY)       Date:  2021-03-11       Impact factor: 5.682

7.  Editorial: Current and Emerging Trends in Human Identification and Molecular Anthropology.

Authors:  Cemal Gurkan; Ozlem Bulbul; Kenneth K Kidd
Journal:  Front Genet       Date:  2021-06-23       Impact factor: 4.599

8.  A Blood-Bone-Tooth Model for Age Prediction in Forensic Contexts.

Authors:  Helena Correia Dias; Licínio Manco; Francisco Corte Real; Eugénia Cunha
Journal:  Biology (Basel)       Date:  2021-12-10
  8 in total

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