Molecular and morphological findings in a sample of oral surgery patients: What can we learn for multivariate concepts for age estimation?
Adolescent
Adult
Age Determination by Teeth
/ methods
Aged
Arginine
/ analogs & derivatives
Biomarkers
/ metabolism
Child
CpG Islands
/ genetics
Cyclic Nucleotide Phosphodiesterases, Type 4
/ metabolism
D-Aspartate Oxidase
/ metabolism
D-Aspartic Acid
/ metabolism
DNA Methylation
Dentin
/ metabolism
Edar-Associated Death Domain Protein
/ metabolism
Fatty Acid Elongases
/ metabolism
Humans
Lysine
/ analogs & derivatives
Machine Learning
Middle Aged
Molar, Third
/ growth & development
Multivariate Analysis
Replication Protein A
/ metabolism
Tooth Calcification
Young Adult
D-aspartic acid
DNA methylation
age estimation
multivariate models
pentosidine
tooth mineralization stages
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:
Jul 2021
Jul 2021
Historique:
revised:
16
02
2021
received:
16
12
2020
accepted:
01
03
2021
pubmed:
5
5
2021
medline:
28
7
2021
entrez:
4
5
2021
Statut:
ppublish
Résumé
It has already been proposed that a combined use of different molecular and morphological markers of aging in multivariate models may result in a greater accuracy of age estimation. However, such an approach can be complex and expensive, and not every combination may be useful. The significance and usefulness of combined analyses of D-aspartic acid in dentine, pentosidine in dentine, DNA methylation in buccal swabs at five genomic regions (PDE4C, RPA2, ELOVL2, DDO, and EDARADD), and third molar mineralization were tested by investigating a sample of 90 oral surgery patients. Machine learning models for age estimation were trained and evaluated, and the contribution of each parameter to multivariate models was tested by assessment of the predictor importance. For models based on D-aspartic acid, pentosidine, and the combination of both, mean absolute errors (MAEs) of 2.93, 3.41, and 2.68 years were calculated, respectively. The additional inclusion of the five DNAm markers did not improve the results. The sole DNAm-based model revealed a MAE of 4.14 years. In individuals under 28 years of age, the combination of the DNAm markers with the third molar mineralization stages reduced the MAE from 3.85 to 2.81 years. Our findings confirm that the combination of parameters in multivariate models may be very useful for age estimation. However, the inclusion of many parameters does not necessarily lead to better results. It is a task for future research to identify the best selection of parameters for the different requirements in forensic practice.
Identifiants
pubmed: 33942892
doi: 10.1111/1556-4029.14704
doi:
Substances chimiques
Biomarkers
0
EDARADD protein, human
0
ELOVL2 protein, human
0
Edar-Associated Death Domain Protein
0
Replication Protein A
0
D-Aspartic Acid
4SR0Q8YD1X
Arginine
94ZLA3W45F
pentosidine
BJ4I2X2CQJ
D-Aspartate Oxidase
EC 1.4.3.1
DDO protein, human
EC 1.4.3.1
Fatty Acid Elongases
EC 2.3.1.-
RPA2 protein, human
EC 2.7.7.7
Cyclic Nucleotide Phosphodiesterases, Type 4
EC 3.1.4.17
PDE4C protein, human
EC 3.1.4.17
Lysine
K3Z4F929H6
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
1524-1532Subventions
Organisme : Deutsche Forschungsgemeinschaft
ID : RI 704/4-1
Organisme : Deutsche Forschungsgemeinschaft
ID : WA 1706/8-1
Informations de copyright
© 2021 The Authors. Journal of Forensic Sciences published by Wiley Periodicals LLC on behalf of American Academy of Forensic Sciences.
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