A New Robust Epigenetic Model for Forensic Age Prediction.
Adult
Aged
Aged, 80 and over
Aging
/ genetics
CpG Islands
DNA Methylation
Epigenesis, Genetic
Fatty Acid Elongases
/ genetics
Female
Forensic Genetics
/ methods
Genetic Markers
High-Throughput Nucleotide Sequencing
Humans
Intracellular Signaling Peptides and Proteins
/ genetics
LIM-Homeodomain Proteins
/ genetics
Linear Models
Machine Learning
Male
Middle Aged
Muscle Proteins
/ genetics
Polymerase Chain Reaction
Transcription Factors
/ genetics
Tripartite Motif Proteins
/ genetics
Young Adult
ELOVL2
FDP
age prediction
automated machine learning
epigenetic clock
externally visible characteristics
methylation
Journal
Journal of forensic sciences
ISSN: 1556-4029
Titre abrégé: J Forensic Sci
Pays: United States
ID NLM: 0375370
Informations de publication
Date de publication:
Sep 2020
Sep 2020
Historique:
received:
04
03
2020
revised:
22
04
2020
accepted:
04
05
2020
pubmed:
27
5
2020
medline:
10
4
2021
entrez:
27
5
2020
Statut:
ppublish
Résumé
Forensic DNA phenotyping refers to an emerging field of forensic sciences aimed at the prediction of externally visible characteristics of unknown sample donors directly from biological materials. The aging process significantly affects most of the above characteristics making the development of a reliable method of age prediction very important. Today, the so-called "epigenetic clocks" represent the most accurate models for age prediction. Since they are technically not achievable in a typical forensic laboratory, forensic DNA technology has triggered efforts toward the simplification of these models. The present study aimed to build an epigenetic clock using a set of methylation markers of five different genes in a sample of the Italian population of different ages covering the whole span of adult life. In a sample of 330 subjects, 42 selected markers were analyzed with a machine learning approach for building a prediction model for age prediction. A ridge linear regression model including eight of the proposed markers was identified as the best performing model across a plethora of candidates. This model was tested on an independent sample of 83 subjects providing a median error of 4.5 years. In the present study, an epigenetic model for age prediction was validated in a sample of the Italian population. However, its applicability to advanced ages still represents the main limitation in forensic caseworks.
Identifiants
pubmed: 32453457
doi: 10.1111/1556-4029.14460
doi:
Substances chimiques
ELOVL2 protein, human
0
FHL2 protein, human
0
Genetic Markers
0
Intracellular Signaling Peptides and Proteins
0
LIM-Homeodomain Proteins
0
Muscle Proteins
0
TRIM59 protein, human
0
Transcription Factors
0
Tripartite Motif Proteins
0
Fatty Acid Elongases
EC 2.3.1.-
Types de publication
Journal Article
Validation Study
Langues
eng
Sous-ensembles de citation
IM
Pagination
1424-1431Informations de copyright
© 2020 American Academy of Forensic Sciences.
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