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

Study Designs in Epidemiology01:20

Study Designs in Epidemiology

1.0K
Epidemiological study designs are fundamental tools for investigating the distribution, determinants, and control of health conditions in populations. They help researchers understand the relationships between exposures and outcomes, and they broadly fall into two categories: "observational" and "experimental" studies.
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and...
1.0K
Confounding in Epidemiological Studies01:27

Confounding in Epidemiological Studies

850
Confounding in statistical epidemiology represents a pivotal challenge, referring to the distortion in the perceived relationship between an exposure and an outcome due to the presence of a third variable, known as a confounder. This variable is associated with both the exposure and the outcome but is not a direct link in their causal chain. Its presence can lead to erroneous interpretations of the exposure's effect, either exaggerating or underestimating the true association. This...
850
Bias in Epidemiological Studies01:29

Bias in Epidemiological Studies

1.4K
Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:  
1.4K
Salivary Glands and Saliva01:23

Salivary Glands and Saliva

2.6K
The salivary glands, of which there are three pairs known as the parotid, submandibular, and sublingual glands, play a crucial role in maintaining oral health and initiating the digestive process. Positioned near the ears, beneath the masseter muscle, the parotid glands secrete saliva into the oral cavity through the parotid duct of Stensen. Meanwhile, the submandibular glands, located on the floor of the mouth, secrete saliva through channels named submandibular ducts. The sublingual glands,...
2.6K
Introduction to Epidemiology01:26

Introduction to Epidemiology

1.9K
Epidemiology, known as the cornerstone of public health, involves studying the distribution and determinants of health-related events in defined populations and applying these insights to control health issues. This is essential for understanding how diseases spread, identifying populations at greater risk, and implementing measures to control or prevent outbreaks. Epidemiology addresses not only infectious diseases but also non-communicable conditions like cancer and cardiovascular disease,...
1.9K
Causality in Epidemiology01:21

Causality in Epidemiology

1.7K
Causality or causation is a fundamental concept in epidemiology, vital for understanding the relationships between various factors and health outcomes. Despite its importance, there's no single, universally accepted definition of causality within the discipline. Drawing from a systematic review, causality in epidemiology encompasses several definitions, including production, necessary and sufficient, sufficient-component, counterfactual, and probabilistic models. Each has its strengths and...
1.7K

You might also read

Related Articles

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

Sort by
Same author

The role of epigenetic age acceleration and social disadvantage in cardiometabolic health in southeast Louisiana women.

Clinical epigenetics·2026
Same author

Subfecundity, Infertility Treatment, and Child Neurodevelopment.

JAMA network open·2026
Same author

Zuranolone mitigates delirium-like bispectral EEG changes, behavioral deficits, and neuroinflammation across surgical and inflammatory mouse models and age groups.

bioRxiv : the preprint server for biology·2026
Same author

Post-traumatic stress disorder moderates the association between BrainAge acceleration and GrimAge acceleration.

Neurobiology of aging·2026
Same author

Epigenome-Wide DNA Methylation Levels During Pregnancy: Associations with Parity Across Diverse Populations.

Epigenomes·2026
Same author

Postoperative delirium in hip fracture patients linked to epigenetic alterations in inflammatory and immune pathways: a genome-wide DNA methylation study.

Translational psychiatry·2026

Related Experiment Video

Updated: Feb 8, 2026

Sample Preparation to Bioinformatics Analysis of DNA Methylation: Association Strategy for Obesity and Related Trait Studies
14:56

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

Published on: May 6, 2022

5.2K

DNA methylation analysis from saliva samples for epidemiological studies.

Shota Nishitani1,2, Sasha E Parets2, Brian W Haas3

  • 1a Department of Gynecology and Obstetrics , Emory University School of Medicine , Atlanta , GA , USA.

Epigenetics
|June 19, 2018
PubMed
Summary

Saliva DNA methylation studies face challenges due to mixed human and bacterial DNA. This framework enhances salivary DNA quality for reliable epigenetic analysis.

Keywords:
Bisulfite conversionDNA methylationEpiTYPEROXTRepigenetichumansaliva

More Related Videos

DNA Methylation: Bisulphite Modification and Analysis
12:34

DNA Methylation: Bisulphite Modification and Analysis

Published on: October 21, 2011

106.5K
Targeted DNA Methylation Analysis by Next-generation Sequencing
08:38

Targeted DNA Methylation Analysis by Next-generation Sequencing

Published on: February 24, 2015

38.0K

Related Experiment Videos

Last Updated: Feb 8, 2026

Sample Preparation to Bioinformatics Analysis of DNA Methylation: Association Strategy for Obesity and Related Trait Studies
14:56

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

Published on: May 6, 2022

5.2K
DNA Methylation: Bisulphite Modification and Analysis
12:34

DNA Methylation: Bisulphite Modification and Analysis

Published on: October 21, 2011

106.5K
Targeted DNA Methylation Analysis by Next-generation Sequencing
08:38

Targeted DNA Methylation Analysis by Next-generation Sequencing

Published on: February 24, 2015

38.0K

Area of Science:

  • Epigenetics
  • Molecular Biology
  • Genomics

Background:

  • Saliva is a valuable, non-invasive source for genetic and epigenetic studies.
  • DNA methylation analysis in saliva presents unique challenges due to the presence of both human and bacterial DNA.
  • Ensuring data quality is crucial for reliable results in salivary epigenetic research.

Purpose of the Study:

  • To develop and assess a framework for optimizing salivary DNA quality for methylation studies.
  • To address the challenges of analyzing human DNA methylation in a mixed microbial environment.
  • To facilitate the broader use of saliva in targeted epigenetic research.

Main Methods:

  • Quantification of human DNA post-extraction.
  • Delineation of human versus bacterial DNA.
  • Optimization and quantification of bisulfite-converted (BSC) DNA.
  • Assessment of PCR amplification efficiency for BSC DNA from saliva.
  • Quantitation of DNA methylation using a targeted assay.

Main Results:

  • The study outlines a systematic approach to evaluate critical steps in salivary DNA processing for methylation analysis.
  • The proposed framework addresses DNA quantification, purity, bisulfite conversion efficiency, and amplification.
  • Successful application of the framework enables reliable DNA methylation quantitation from saliva.

Conclusions:

  • The developed framework provides a robust method for improving the quality of salivary DNA for epigenetic studies.
  • This approach overcomes key technical hurdles, enabling more accurate DNA methylation analysis.
  • Saliva can be effectively utilized in targeted epigenetic studies with the implementation of this comprehensive framework.