Literature DB >> 32632799

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

Barbara Elisabeth Koop1, Felix Mayer2, Tanju Gündüz2, Jacqueline Blum2, Julia Becker2, Judith Schaffrath2, Wolfgang Wagner3, Yang Han3, Petra Boehme2, Stefanie Ritz-Timme2.   

Abstract

Age estimation based on the analysis of DNA methylation patterns has become a focus of forensic research within the past few years. However, there is little data available regarding postmortem DNA methylation analysis yet, and literature mainly encompasses analysis of blood from corpses without any signs of decomposition. It is not entirely clear yet which other types of specimen are suitable for postmortem epigenetic age estimation, and if advanced decomposition may affect methylation patterns of CpG sites. In living persons, buccal swabs are an easily accessible source of DNA for epigenetic age estimation. In this work, the applicability of this approach (buccal swabs as source of DNA) under different postmortem conditions was tested. Methylation levels of PDE4C were investigated in buccal swab samples collected from 73 corpses (0-90 years old; mean: 51.2) in different stages of decomposition. Moreover, buccal swab samples from 142 living individuals (0-89 years old; mean 41.2) were analysed. As expected, methylation levels exhibited a high correlation with age in living individuals (training set: r2 = 0.87, validation set: r2 = 0.85). This was also the case in postmortem samples (r2 = 0.90), independent of the state of decomposition. Only in advanced putrified cases with extremely low DNA amounts, epigenetic age estimation was not possible. In conclusion, buccal swabs are a suitable and easy to collect source for DNA methylation analysis as long as sufficient amounts of DNA are present.

Entities:  

Keywords:  Age estimation; Buccal swabs; Corpses; DNA methylation; Decomposition; Postmortem

Year:  2020        PMID: 32632799      PMCID: PMC7782454          DOI: 10.1007/s00414-020-02360-7

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


  16 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

Review 2.  Forensic Epigenetic Analysis: The Path Ahead.

Authors:  Seyed E Hasnain
Journal:  Med Princ Pract       Date:  2019-03-12       Impact factor: 1.927

3.  DNA methylation of the ELOVL2, FHL2, KLF14, C1orf132/MIR29B2C, and TRIM59 genes for age prediction from blood, saliva, and buccal swab samples.

Authors:  Sang-Eun Jung; Seung Min Lim; Sae Rom Hong; Eun Hee Lee; Kyoung-Jin Shin; Hwan Young Lee
Journal:  Forensic Sci Int Genet       Date:  2018-09-29       Impact factor: 4.882

4.  DNA methylation-based age prediction using massively parallel sequencing data and multiple machine learning models.

Authors:  Anastasia Aliferi; David Ballard; Matteo D Gallidabino; Helen Thurtle; Leon Barron; Denise Syndercombe Court
Journal:  Forensic Sci Int Genet       Date:  2018-09-08       Impact factor: 4.882

5.  European scientists seek 'epigenetic clock' to determine age of refugees.

Authors:  Alison Abbott
Journal:  Nature       Date:  2018-09       Impact factor: 49.962

6.  Chronological age prediction based on DNA methylation: Massive parallel sequencing and random forest regression.

Authors:  Jana Naue; Huub C J Hoefsloot; Olaf R F Mook; Laura Rijlaarsdam-Hoekstra; Marloes C H van der Zwalm; Peter Henneman; Ate D Kloosterman; Pernette J Verschure
Journal:  Forensic Sci Int Genet       Date:  2017-08-01       Impact factor: 4.882

Review 7.  Age Estimation with DNA: From Forensic DNA Fingerprinting to Forensic (Epi)Genomics: A Mini-Review.

Authors:  Walther Parson
Journal:  Gerontology       Date:  2018-01-23       Impact factor: 5.140

8.  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

9.  DNA methylation age of human tissues and cell types.

Authors:  Steve Horvath
Journal:  Genome Biol       Date:  2013       Impact factor: 13.583

10.  Aging of blood can be tracked by DNA methylation changes at just three CpG sites.

Authors:  Carola Ingrid Weidner; Qiong Lin; Carmen Maike Koch; Lewin Eisele; Fabian Beier; Patrick Ziegler; Dirk Olaf Bauerschlag; Karl-Heinz Jöckel; Raimund Erbel; Thomas Walter Mühleisen; Martin Zenke; Tim Henrik Brümmendorf; Wolfgang Wagner
Journal:  Genome Biol       Date:  2014-02-03       Impact factor: 13.583

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  2 in total

1.  Analysis of 14C, 13C and Aspartic Acid Racemization in Teeth and Bones to Facilitate Identification of Unknown Human Remains: Outcomes of Practical Casework.

Authors:  Rebecka Teglind; Irena Dawidson; Jonas Balkefors; Kanar Alkass
Journal:  Biomolecules       Date:  2021-11-08

2.  DNA methylation profiling in mummified human remains from the eighteenth-century.

Authors:  Marco Schmidt; Frank Maixner; Gerhard Hotz; Ildikó Pap; Ildikó Szikossy; György Pálfi; Albert Zink; Wolfgang Wagner
Journal:  Sci Rep       Date:  2021-07-29       Impact factor: 4.379

  2 in total

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