DNA methylation in ELOVL2 and C1orf132 correctly predicted chronological age of individuals from three disease groups

Improving accuracy of the available predictive DNA methods is important for their wider use in routine forensic work. Information on age in the process of identification of an unknown individual may provide important hints that can speed up the process of investigation. DNA methylation markers have...

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Autores principales: Spólnicka, M., Pośpiech, E., Pepłońska, B., Zbieć-Piekarska, R., Makowska, Ż., Pięta, A., Karłowska-Pik, J., Ziemkiewicz, B., Wężyk, M., Gasperowicz, P., Bednarczuk, T., Barcikowska, M., Żekanowski, C., Płoski, R., Branicki, Wojciech
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5748441/
https://www.ncbi.nlm.nih.gov/pubmed/28725932
http://dx.doi.org/10.1007/s00414-017-1636-0
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author Spólnicka, M.
Pośpiech, E.
Pepłońska, B.
Zbieć-Piekarska, R.
Makowska, Ż.
Pięta, A.
Karłowska-Pik, J.
Ziemkiewicz, B.
Wężyk, M.
Gasperowicz, P.
Bednarczuk, T.
Barcikowska, M.
Żekanowski, C.
Płoski, R.
Branicki, Wojciech
author_facet Spólnicka, M.
Pośpiech, E.
Pepłońska, B.
Zbieć-Piekarska, R.
Makowska, Ż.
Pięta, A.
Karłowska-Pik, J.
Ziemkiewicz, B.
Wężyk, M.
Gasperowicz, P.
Bednarczuk, T.
Barcikowska, M.
Żekanowski, C.
Płoski, R.
Branicki, Wojciech
author_sort Spólnicka, M.
collection PubMed
description Improving accuracy of the available predictive DNA methods is important for their wider use in routine forensic work. Information on age in the process of identification of an unknown individual may provide important hints that can speed up the process of investigation. DNA methylation markers have been demonstrated to provide accurate age estimation in forensics, but there is growing evidence that DNA methylation can be modified by various factors including diseases. We analyzed DNA methylation profile in five markers from five different genes (ELOVL2, C1orf132, KLF14, FHL2, and TRIM59) used for forensic age prediction in three groups of individuals with diagnosed medical conditions. The obtained results showed that the selected age-related CpG sites have unchanged age prediction capacity in the group of late onset Alzheimer’s disease patients. Aberrant hypermethylation and decreased prediction accuracy were found for TRIM59 and KLF14 markers in the group of early onset Alzheimer’s disease suggesting accelerated aging of patients. In the Graves’ disease patients, altered DNA methylation profile and modified age prediction accuracy were noted for TRIM59 and FHL2 with aberrant hypermethylation observed for the former and aberrant hypomethylation for the latter. Our work emphasizes high utility of the ELOVL2 and C1orf132 markers for prediction of chronological age in forensics by showing unchanged prediction accuracy in individuals affected by three diseases. The study also demonstrates that artificial neural networks could be a convenient alternative for the forensic predictive DNA analyses.
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spelling pubmed-57484412018-01-19 DNA methylation in ELOVL2 and C1orf132 correctly predicted chronological age of individuals from three disease groups Spólnicka, M. Pośpiech, E. Pepłońska, B. Zbieć-Piekarska, R. Makowska, Ż. Pięta, A. Karłowska-Pik, J. Ziemkiewicz, B. Wężyk, M. Gasperowicz, P. Bednarczuk, T. Barcikowska, M. Żekanowski, C. Płoski, R. Branicki, Wojciech Int J Legal Med Original Article Improving accuracy of the available predictive DNA methods is important for their wider use in routine forensic work. Information on age in the process of identification of an unknown individual may provide important hints that can speed up the process of investigation. DNA methylation markers have been demonstrated to provide accurate age estimation in forensics, but there is growing evidence that DNA methylation can be modified by various factors including diseases. We analyzed DNA methylation profile in five markers from five different genes (ELOVL2, C1orf132, KLF14, FHL2, and TRIM59) used for forensic age prediction in three groups of individuals with diagnosed medical conditions. The obtained results showed that the selected age-related CpG sites have unchanged age prediction capacity in the group of late onset Alzheimer’s disease patients. Aberrant hypermethylation and decreased prediction accuracy were found for TRIM59 and KLF14 markers in the group of early onset Alzheimer’s disease suggesting accelerated aging of patients. In the Graves’ disease patients, altered DNA methylation profile and modified age prediction accuracy were noted for TRIM59 and FHL2 with aberrant hypermethylation observed for the former and aberrant hypomethylation for the latter. Our work emphasizes high utility of the ELOVL2 and C1orf132 markers for prediction of chronological age in forensics by showing unchanged prediction accuracy in individuals affected by three diseases. The study also demonstrates that artificial neural networks could be a convenient alternative for the forensic predictive DNA analyses. Springer Berlin Heidelberg 2017-07-19 2018 /pmc/articles/PMC5748441/ /pubmed/28725932 http://dx.doi.org/10.1007/s00414-017-1636-0 Text en © The Author(s) 2017 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Original Article
Spólnicka, M.
Pośpiech, E.
Pepłońska, B.
Zbieć-Piekarska, R.
Makowska, Ż.
Pięta, A.
Karłowska-Pik, J.
Ziemkiewicz, B.
Wężyk, M.
Gasperowicz, P.
Bednarczuk, T.
Barcikowska, M.
Żekanowski, C.
Płoski, R.
Branicki, Wojciech
DNA methylation in ELOVL2 and C1orf132 correctly predicted chronological age of individuals from three disease groups
title DNA methylation in ELOVL2 and C1orf132 correctly predicted chronological age of individuals from three disease groups
title_full DNA methylation in ELOVL2 and C1orf132 correctly predicted chronological age of individuals from three disease groups
title_fullStr DNA methylation in ELOVL2 and C1orf132 correctly predicted chronological age of individuals from three disease groups
title_full_unstemmed DNA methylation in ELOVL2 and C1orf132 correctly predicted chronological age of individuals from three disease groups
title_short DNA methylation in ELOVL2 and C1orf132 correctly predicted chronological age of individuals from three disease groups
title_sort dna methylation in elovl2 and c1orf132 correctly predicted chronological age of individuals from three disease groups
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5748441/
https://www.ncbi.nlm.nih.gov/pubmed/28725932
http://dx.doi.org/10.1007/s00414-017-1636-0
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