Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

DNA Methylation Analysis08:47

DNA Methylation Analysis

28.2K
Methylation at CpG dinucleotides is a chemical modification of DNA hypothesized to play important roles in regulating gene expression. In particular, the methylation of clusters of methylation sites, called “CpG islands”, near promoters and other gene regulatory elements may contribute to the stable silencing of genes, for example, during epigenetic processes such as genomic imprinting and X-chromosome inactivation. At the same time, aberrant CpG methylation has been shown to be...
28.2K
Methylated DNA Immunoprecipitation21:24

Methylated DNA Immunoprecipitation

24.1K
This video demonstrates the protocol for methylated DNA immunoprecipitation (MeDIP). MeDIP is a two day procedure that selectively extracts methylated DNA fragments from a genomic DNA sample using antibodies with specificity for 5 -methylcytosine (anti-5...
24.1K
DNA Methylation: Bisulphite Modification and Analysis12:34

DNA Methylation: Bisulphite Modification and Analysis

106.3K
The gold standard for DNA methylation analysis is genomic sequencing of bisulphite converted DNA. This method takes advantage of the increased sensitivity of cytosine compared with 5-methylcytosine (5-MeC) to bisulphite deamination under acidic conditions. Unmethylated cytosines can be distinguished from methylated cytosines after PCR amplification of the target genomic...
106.3K
Bisulfite Conversion of Genomic DNA: A Method to Study DNA Methylation in Genomic DNA Samples from Gastrointestinal Cancer Tissue04:36

Bisulfite Conversion of Genomic DNA: A Method to Study DNA Methylation in Genomic DNA Samples from Gastrointestinal Cancer Tissue

3.0K
This video demonstrates the procedure of bisulfite modification of genomic DNA from gastrointestinal cancer samples. The technique is beneficial for investigating the relationship between genes’ methylation patterns and establishing their contribution to...
3.0K
Sample Preparation to Bioinformatics Analysis of DNA Methylation: Association Strategy for Obesity and Related Trait Studies14:56

Sample Preparation to Bioinformatics Analysis of DNA Methylation: Association Strategy for Obesity and Related Trait Studies

5.0K
The present study describes the workflow to manage DNA methylation data obtained by microarray technologies. The protocol demonstrates steps from sample preparation to data analysis. All procedures are described in detail, and the video shows the significant...
5.0K
Methodology for Accurate Detection of Mitochondrial DNA Methylation12:11

Methodology for Accurate Detection of Mitochondrial DNA Methylation

13.9K
Here, we present a protocol to allow accurate quantification of mitochondrial DNA (mtDNA) methylation. In this protocol, we describe an enzymatic digestion of DNA with BamHI coupled with a bioinformatic analysis pipeline which can be used to avoid overestimation of mtDNA methylation levels caused by the secondary structure of...
13.9K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Best practice for forensic anthropology reporting: a statement by the Board of the Forensic Anthropology Society of Europe (FASE).

International journal of legal medicine·2026
Same author

Forensic Evaluation of the Ion AmpliSeq MH-74 Microhaplotype Panel in the Portuguese Population.

Genes·2026
Same author

From pocket to profile: Scale-free pelvic sex estimation from 3D photogrammetry.

International journal of legal medicine·2026
Same author

Genetic Identification of Human Skeletal Remains in Forensic Context: A Review.

Genes·2026
Same author

Performance of DRNNAGE for macroscopic age-at-death estimation in contemporary Brazilian identified skeletons.

Journal of forensic sciences·2026
Same author

Estimating age in elderly individuals: a morphological and quantitative approach using the pubic symphysis.

International journal of legal medicine·2026

Related Experiment Video

Updated: Jan 20, 2026

Methylated DNA Immunoprecipitation
21:24

Methylated DNA Immunoprecipitation

Published on: January 2, 2009

24.1K

Age Estimation Based on DNA Methylation Using Blood Samples From Deceased Individuals.

Helena Correia Dias1,2,3, Cristina Cordeiro3,4, Francisco Corte Real3,4

  • 1Department of Life Sciences, Research Centre for Anthropology and Health (CIAS), University of Coimbra, Coimbra, Portugal.

Journal of Forensic Sciences
|September 7, 2019
PubMed
Summary

Researchers developed a DNA methylation age predictor model (APM) for forensic genetics. This model accurately estimates age in deceased individuals using five genes, showing potential for forensic applications.

Keywords:
DNA methylation agebisulfite PCR sequencingdeceased individualsforensic epigeneticsforensic science

More Related Videos

DNA Methylation Analysis
08:47

DNA Methylation Analysis

Published on: April 30, 2023

28.2K
DNA Methylation: Bisulphite Modification and Analysis
12:34

DNA Methylation: Bisulphite Modification and Analysis

Published on: October 21, 2011

106.3K

Related Experiment Videos

Last Updated: Jan 20, 2026

Methylated DNA Immunoprecipitation
21:24

Methylated DNA Immunoprecipitation

Published on: January 2, 2009

24.1K
DNA Methylation Analysis
08:47

DNA Methylation Analysis

Published on: April 30, 2023

28.2K
DNA Methylation: Bisulphite Modification and Analysis
12:34

DNA Methylation: Bisulphite Modification and Analysis

Published on: October 21, 2011

106.3K

Area of Science:

  • Forensic Genetics
  • Epigenetics
  • Molecular Biology

Background:

  • DNA methylation analysis is a promising tool for age estimation.
  • Its application in forensic genetics requires robust age predictor models (APMs).
  • Previous studies have explored various genes for age prediction, but validation in diverse populations and sample types remains crucial.

Purpose of the Study:

  • To develop and validate an age predictor model (APM) for estimating chronological age from DNA methylation levels in blood samples.
  • To identify age-correlated CpG sites within five specific genes (ELOVL2, FHL2, EDARADD, PDE4C, and C1orf132).
  • To assess the model's accuracy and reliability for potential use in forensic investigations.

Main Methods:

  • DNA methylation analysis was performed on 51 blood samples using bisulfite PCR sequencing.
  • Five age-correlated genes (ELOVL2, FHL2, EDARADD, PDE4C, C1orf132) were analyzed.
  • Linear regression modeling was employed to correlate methylation levels with chronological age.

Main Results:

  • A robust APM was developed, utilizing the most age-correlated CpG site from each of the five genes.
  • The model achieved a high correlation coefficient (R=0.888), explaining 76.3% of age variation.
  • The model demonstrated a mean absolute deviation (MAD) of 6.08 years in the initial set and 8.84 years in an independent validation set of 19 samples.

Conclusions:

  • The developed DNA methylation-based APM is informative and shows potential for accurate age estimation in forensic contexts.
  • The model's performance in the validation set indicates its utility for forensic analysis of deceased individuals.
  • Further research may involve larger, diverse datasets to refine the model and expand its applicability.