Age Estimation Based on DNA Methylation Using Blood Samples From Deceased Individuals.
Adult
Aged
Aged, 80 and over
Aging
/ genetics
CpG Islands
/ genetics
Cyclic Nucleotide Phosphodiesterases, Type 4
/ genetics
DNA Methylation
Edar-Associated Death Domain Protein
/ genetics
Fatty Acid Elongases
/ genetics
Female
Forensic Genetics
/ methods
Genetic Markers
Humans
LIM-Homeodomain Proteins
/ genetics
Linear Models
Male
Middle Aged
Muscle Proteins
/ genetics
Polymerase Chain Reaction
/ methods
Sequence Analysis, DNA
/ methods
Sulfites
Transcription Factors
/ genetics
Young Adult
DNA methylation age
bisulfite PCR sequencing
deceased individuals
forensic epigenetics
forensic science
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:
Mar 2020
Mar 2020
Historique:
received:
08
05
2019
revised:
09
08
2019
accepted:
14
08
2019
pubmed:
7
9
2019
medline:
12
3
2020
entrez:
7
9
2019
Statut:
ppublish
Résumé
Age estimation using DNA methylation levels has been widely investigated in recent years because of its potential application in forensic genetics. The main aim of this study was to develop an age predictor model (APM) for blood samples of deceased individuals based in five age-correlated genes. Fifty-one samples were analyzed through the bisulfite polymerase chain reaction (PCR) sequencing method for DNA methylation evaluation in genes ELOVL2, FHL2, EDARADD, PDE4C, and C1orf132. Linear regression was used to analyze relationships between methylation levels and age. The model using the highest age-correlated CpG from each locus revealed a correlation coefficient of 0.888, explaining 76.3% of age variation, with a mean absolute deviation from the chronological age (MAD) of 6.08 years. The model was validated in an independent test set of 19 samples producing a MAD of 8.84 years. The developed APM seems to be informative and could have potential application in forensic analysis.
Identifiants
pubmed: 31490551
doi: 10.1111/1556-4029.14185
doi:
Substances chimiques
EDARADD protein, human
0
ELOVL2 protein, human
0
Edar-Associated Death Domain Protein
0
FHL2 protein, human
0
Genetic Markers
0
LIM-Homeodomain Proteins
0
Muscle Proteins
0
Sulfites
0
Transcription Factors
0
Fatty Acid Elongases
EC 2.3.1.-
Cyclic Nucleotide Phosphodiesterases, Type 4
EC 3.1.4.17
PDE4C protein, human
EC 3.1.4.17
hydrogen sulfite
OJ9787WBLU
Types de publication
Journal Article
Validation Study
Langues
eng
Sous-ensembles de citation
IM
Pagination
465-470Subventions
Organisme : Fundação para a Ciência e a Tecnologia
ID : PEst-OE/SADG/UI0283/2019
Organisme : Fundação para a Ciência e a Tecnologia
ID : SFRH/BD/117022/2016
Informations de copyright
© 2019 American Academy of Forensic Sciences.
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