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

Human Genetics01:28

Human Genetics

1.8K
Human genetics provides a profound framework for understanding the interplay between genetic predispositions and human psychology. At the heart of this discipline lies the study of how genes influence physical traits, behaviors, and susceptibility to diseases. Each person carries a unique genetic code that subtly or significantly shapes their psychological and behavioral landscape.
The complex relationship between genetics and psychology is observable through common biological components such...
1.8K
Principles of Pharmacogenetics: Types of Genetic Variants01:27

Principles of Pharmacogenetics: Types of Genetic Variants

86
The human genome is over 99.9% identical between individuals, yet genetic differences exist at millions of bases. The human genome contains approximately 3 million variant positions per individual, many of which are heterozygous, contributing to genetic diversity and individual traits. Genetic variations include single-nucleotide polymorphisms (SNPs), insertions, deletions, and copy number variations (CNVs).SNPs, the most common variation, involve single-base changes in DNA. These can be...
86
Incomplete Dominance01:43

Incomplete Dominance

32.3K
Gregor Mendel's work (1822 - 1884) was primarily focused on pea plants. Through his initial experiments, he determined that every gene in a diploid cell has two variants called alleles inherited from each parent. He suggested that amongst these two alleles, one allele is dominant in character and the other recessive. The combination of alleles determines the phenotype of a gene in an organism.
32.3K
Behavioral Genetics and Its Designs01:23

Behavioral Genetics and Its Designs

1.3K
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...
1.3K
Probability Laws01:49

Probability Laws

44.8K
Overview
44.8K
Genetic Variation01:25

Genetic Variation

1.5K
Genetic variation is the diversity in DNA sequences found among individuals of the same species. This diversity is crucial for a species' survival because it helps organisms adapt to environmental changes. Genetic variation begins with fertilization, where an egg and sperm cell merge. Each of these cells carries 23 chromosomes, up to 46 in the fertilized egg. Chromosomes are long DNA strands that contain genes, the basic units of heredity.
Genes exist in different versions called alleles,...
1.5K

You might also read

Related Articles

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

Sort by
Same author

Semiparametric Panel Count Model, With Applications to Signal Detection in Post-Market Drug Surveillance Systems.

Statistics in medicine·2026
Same author

Trajectories and Influencing Factors of Depression in Patients with H-Type Hypertension-Related Ischemic Stroke: A Single-Center Longitudinal Study.

Patient preference and adherence·2026
Same author

Generative AI-assisted Bayesian-frequentist Hybrid Inference in Single-cell RNA Sequencing Analysis for Genes Associated with Alzheimer's Disease.

medRxiv : the preprint server for health sciences·2026
Same author

Enhanced doubly robust estimation in clinical trials accounting for intercurrent events.

Journal of biopharmaceutical statistics·2026
Same author

Effect of Arbuscular Mycorrhizal Fungi on the Growth and Cadmium Uptake of <i>Paspalum notatum</i> and <i>Lolium perenne</i>.

Journal of fungi (Basel, Switzerland)·2026
Same author

Effects of Powdered and Granular AMF on Maize Growth Under Low Fertilizer Conditions.

Journal of fungi (Basel, Switzerland)·2026

Related Experiment Video

Updated: Mar 21, 2026

In Vivo Modeling of the Morbid Human Genome using Danio rerio
12:31

In Vivo Modeling of the Morbid Human Genome using Danio rerio

Published on: August 24, 2013

21.5K

Genetic risks and genetic model specification.

Gang Zheng1, Wei Zhang2, Jinfeng Xu3

  • 1National Heart, Lung and Blood Institute, Bethesda, MD, USA.

Journal of Theoretical Biology
|May 17, 2016
PubMed
Summary
This summary is machine-generated.

Choosing the right genetic risk measure is crucial for genetic epidemiology studies. Relative risk offers higher power for detecting genetic associations and inferring models compared to odds ratio, especially when analyzing cases only.

Keywords:
Case-control designGenetic modelGenetic riskHardy–Weinberg equilibrium

More Related Videos

Navigating MARRVEL, a Web-Based Tool that Integrates Human Genomics and Model Organism Genetics Information
09:37

Navigating MARRVEL, a Web-Based Tool that Integrates Human Genomics and Model Organism Genetics Information

Published on: August 15, 2019

10.6K
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

10.8K

Related Experiment Videos

Last Updated: Mar 21, 2026

In Vivo Modeling of the Morbid Human Genome using Danio rerio
12:31

In Vivo Modeling of the Morbid Human Genome using Danio rerio

Published on: August 24, 2013

21.5K
Navigating MARRVEL, a Web-Based Tool that Integrates Human Genomics and Model Organism Genetics Information
09:37

Navigating MARRVEL, a Web-Based Tool that Integrates Human Genomics and Model Organism Genetics Information

Published on: August 15, 2019

10.6K
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

10.8K

Area of Science:

  • Genetic Epidemiology
  • Statistical Genetics
  • Bioinformatics

Background:

  • Genetic epidemiology studies rely on genetic models defined by risk measures like genotype relative risk and odds ratio.
  • The choice of risk measure can impact study power and the accuracy of genetic model inference.

Purpose of the Study:

  • To investigate the impact of selecting different genetic risk measures on the power to detect genetic associations.
  • To evaluate the efficiency of inferring genetic models using deviations from Hardy-Weinberg equilibrium in cases versus all participants.

Main Methods:

  • Utilized extensive simulations to compare the power of genotype relative risk and odds ratio in detecting genetic associations.
  • Assessed the ability to infer genetic models based on deviations from Hardy-Weinberg equilibrium in case-only and case-control populations.

Main Results:

  • Studies using odds ratio demonstrated lower power to detect associations compared to genotype relative risk when other parameters were constant.
  • Genetic models can be effectively inferred from deviations in Hardy-Weinberg equilibrium within cases when equilibrium holds in the general population.
  • Case-only analysis for Hardy-Weinberg equilibrium deviation is more efficient than analyzing all cases and controls.

Conclusions:

  • Genotype relative risk is a more powerful measure than odds ratio for detecting genetic associations in epidemiological studies.
  • Analyzing deviations from Hardy-Weinberg equilibrium in cases alone is a more efficient strategy for genetic model inference.