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

Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

16.9K
Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...
16.9K
Longitudinal Studies01:26

Longitudinal Studies

696
Longitudinal studies are also widely used in other medical and social science fields. For instance, in cardiovascular research, they can monitor patients' health over decades to identify risk factors for heart disease, such as high cholesterol or smoking, and evaluate the long-term effectiveness of preventive measures. Similarly, in mental health studies, researchers might follow individuals from adolescence into adulthood to understand the development and progression of conditions like...
696
Longitudinal Research02:20

Longitudinal Research

13.7K
Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...
13.7K
Behavioral Genetics and Its Designs01:23

Behavioral Genetics and Its Designs

1.4K
Behavior genetics explores how genetic inheritance influences human behavior. It focuses on how genes, passed from parents to offspring, contribute to the development of behavioral traits and tendencies. This branch of genetics seeks to understand the complex interplay between inherited genetic factors and environmental influences in shaping our behaviors.
The primary methodologies used in behavior genetics include family studies, twin studies, and adoption studies, each providing unique...
1.4K
Multiple Allele Traits01:49

Multiple Allele Traits

39.1K
The Concept of Multiple Allelism
39.1K
Multiple Allele Traits01:49

Multiple Allele Traits

15.2K
15.2K

You might also read

Related Articles

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

Sort by
Same author

Censoring Population Health Science: Death by a Thousand Cuts.

Journal of urban health : bulletin of the New York Academy of Medicine·2026
Same author

Research opportunities to advance cardiovascular health through a planetary health lens.

American journal of preventive cardiology·2026
Same author

Midlife exposure to neighborhood greenness and later-life cognitive decline: The Multi-Ethnic Study of Atherosclerosis.

Social psychiatry and psychiatric epidemiology·2026
Same author

Trends in adults body mass index related to changes in socioeconomic status of 201 large Latin American cities.

Social science & medicine (1982)·2026
Same author

Urban and socioeconomic disparities in PM<sub>2.5</sub> exposure across 340 Latin American cities.

Environmental research letters : ERL [Web site]·2025
Same author

Advancing equitable and sustainable urban health.

Nature medicine·2025

Related Experiment Video

Updated: Apr 15, 2026

Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry
05:53

Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry

Published on: June 21, 2018

10.9K

Set-based tests for genetic association in longitudinal studies.

Zihuai He1, Min Zhang1, Seunggeun Lee1

  • 1Department of Biostatistics, University of Michigan, Ann Arbor, Michigan, U.S.A.

Biometrics
|April 10, 2015
PubMed
Summary

This study introduces a new model for genetic association analysis, the longitudinal genetic random field (LGRF) model. LGRF improves the power to detect genetic effects on chronic disease markers over time compared to existing methods.

Keywords:
Generalized estimating equationsGeneralized score testGenetic associationLongitudinal studyMulti-marker testRandom field

More Related Videos

An Allele-specific Gene Expression Assay to Test the Functional Basis of Genetic Associations
10:17

An Allele-specific Gene Expression Assay to Test the Functional Basis of Genetic Associations

Published on: November 3, 2010

23.5K
Screening for Functional Non-coding Genetic Variants Using Electrophoretic Mobility Shift Assay EMSA and DNA-affinity Precipitation Assay DAPA
11:35

Screening for Functional Non-coding Genetic Variants Using Electrophoretic Mobility Shift Assay EMSA and DNA-affinity Precipitation Assay DAPA

Published on: August 21, 2016

13.7K

Related Experiment Videos

Last Updated: Apr 15, 2026

Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry
05:53

Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry

Published on: June 21, 2018

10.9K
An Allele-specific Gene Expression Assay to Test the Functional Basis of Genetic Associations
10:17

An Allele-specific Gene Expression Assay to Test the Functional Basis of Genetic Associations

Published on: November 3, 2010

23.5K
Screening for Functional Non-coding Genetic Variants Using Electrophoretic Mobility Shift Assay EMSA and DNA-affinity Precipitation Assay DAPA
11:35

Screening for Functional Non-coding Genetic Variants Using Electrophoretic Mobility Shift Assay EMSA and DNA-affinity Precipitation Assay DAPA

Published on: August 21, 2016

13.7K

Area of Science:

  • Genetics
  • Biostatistics
  • Epidemiology

Background:

  • Longitudinal markers of chronic diseases offer insights into genetic variant effects over time.
  • Joint analysis of multiple genetic variants, considering linkage disequilibrium (LD), can explain more phenotypic variation.

Purpose of the Study:

  • To propose a longitudinal genetic random field (LGRF) model for testing associations between phenotypes measured repeatedly and genetic variants.
  • To develop robust generalized score tests and a joint test incorporating gene-time interaction.

Main Methods:

  • Developed the longitudinal genetic random field (LGRF) model.
  • Implemented generalized score type tests robust to within-subject correlation misspecification.
  • Proposed a joint test for gene-time interaction.
  • Ensured scalable implementation for large-scale genome-wide association studies (GWAS).

Main Results:

  • The LGRF model demonstrated substantial power gains compared to single marker tests and existing gene-based tests using average outcomes.
  • Simulations confirmed the effectiveness of the proposed methods.
  • The methods were illustrated using data from the Multi-Ethnic Study of Atherosclerosis (MESA).

Conclusions:

  • The LGRF model provides a powerful approach for genetic association studies with longitudinal disease markers.
  • The developed methods are robust and computationally scalable for GWAS.
  • This approach enhances the understanding of genetic influences on disease progression.