Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Genome-wide Association Studies-GWAS

Genome-wide Association Studies-GWAS

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...

Pedigree Analysis

Pedigree Analysis

Pedigree Analysis

Pedigree Analysis

Behavioral Genetics and Its Designs

Behavioral Genetics and Its Designs

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...

Punnett Squares

Punnett Squares

Punnett Squares

Punnett Squares

You might also read

Related Articles

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

Sort by

Same author

Beam-energy dependence of the directed flow of protons, antiprotons, and pions in Au+Au collisions.

Physical review letters·2014

Same author

Visual analysis of particle behaviors to understand combustion simulations.

IEEE computer graphics and applications·2014

Same author

Jet-hadron correlations in √[s(NN)]=200 GeV p+p and central Au+Au collisions.

Physical review letters·2014

Same author

cDNA cloning and expression characterization of serum transferrin gene from oriental weatherfish Misgurnus anguillicaudatus.

Journal of fish biology·2014

Same author

Cyclosporine A and tacrolimus combined with enteric-coated mycophenolate sodium influence the plasma mycophenolic acid concentration - a randomised controlled trial in Chinese live related donor kidney transplant recipients.

International journal of clinical practice. Supplement·2014

Same author

Vibrational Excitations and Low Energy Electronic Structure of Epoxide-decorated Graphene.

The journal of physical chemistry letters·2014

Search research articles

Related Experiment Video

Updated: Jun 21, 2026

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

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

Published on: June 21, 2018

A powerful two-stage association test using case-control and case-parents genotype data.

K F Cheng¹, W J Lin, J H Chen

¹Biostatistics Center and Department of Public Health, China Medical University, Taichung, Taiwan, ROC. kfcheng@mail.cmu.edu.tw

|July 23, 2009

Summary

This summary is machine-generated.

Combining case-control and case-parents genetic data improves association test performance. A novel two-stage test robustly handles population stratification, reducing false negatives and enhancing power for genetic association studies.

More Related Videos

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

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

Published on: August 15, 2019

Related Experiment Videos

Last Updated: Jun 21, 2026

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

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

Published on: June 21, 2018

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

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

Published on: August 15, 2019

Area of Science:

Genetics
Statistical Genetics
Bioinformatics

Background:

Genetic association studies often utilize case-control or case-parents substudies.
Combining data from these substudies can enhance statistical power.
Population stratification can hinder data combination due to differing genotype frequencies and relative risks.

Purpose of the Study:

To develop a robust two-stage association test for combining genetic data from case-control and case-parents studies.
To address challenges posed by population stratification when merging datasets.
To improve the power of genetic association tests.

Main Methods:

A two-stage approach incorporating combinability tests in the first stage and association tests in the second stage.
Combinability tests assess homogeneity of genotype frequencies and relative risks across datasets.
Significance levels are adjusted to control the overall Type I error rate.

Main Results:

The proposed two-stage test maintains empirical Type I error rates close to predetermined levels.
Simulations demonstrate substantially fewer false negatives compared to using only case-parents data.
The test shows robustness against population stratification effects.

Conclusions:

Combining case-control and case-parents data in a single analysis is advantageous for genetic association studies.
The two-stage test offers significant power improvements, particularly when family-based tests have limited power.
This method is robust to population stratification, making it a valuable tool for genetic research.