Related Experiment Video
Updated: May 4, 2026
08:27
Large-Scale Multi-Omics Genome-Wide Association Studies Mo-GWAS: Guidelines for Sample Preparation and Normalization
Published on: July 27, 2021
4.6K
Testing gene-gene interactions in genome wide association studies
Jie Kate Hu1, Xianlong Wang, Pei Wang
1Department of Biostatistics, University of Washington, Seattle, Washington, United States of America.
Genetic Epidemiology
|January 17, 2014
Summary
This study compares statistical methods for detecting gene-gene interactions in genome-wide association studies (GWAS). It offers practical guidance for selecting the best interaction testing approaches in GWAS, aiding researchers in identifying disease susceptibility loci.
Area of Science:
- Genetics
- Bioinformatics
- Statistical Genetics
Background:
- Gene-gene interactions are crucial for understanding complex diseases.
- Genome-wide association studies (GWAS) increasingly focus on detecting these interactions.
- Existing methods for interaction detection in GWAS have limitations.
Purpose of the Study:
- To compare existing statistical methods for detecting gene-gene interactions in GWAS.
- To provide practical guidelines for selecting appropriate interaction testing methods.
- To elucidate the theoretical relationships between different interaction detection methods.
Main Methods:
- Review of existing statistical methods for interaction detection.
- Examination of different definitions of gene-gene interactions.
- Extensive simulations to compare the power of various methods.
Main Results:
- Comparison of methods for detecting interactions between markers at unlinked loci.
- Evaluation of methods for overall association including interaction and main effects.
- Identification of informative characteristics of different testing methods.
Conclusions:
- Provides a comparative analysis of gene-gene interaction detection methods in GWAS.
- Offers practical guidelines to assist GWAS investigators in method selection.
- Enhances the understanding of statistical approaches for identifying disease susceptibility loci.
Related Concept Videos
01:11Genome-wide Association Studies-GWAS
12.6K
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...
GWAS does not require the identification of the target gene involved in...
12.6K
01:29Pharmacogenomics: Identification of New Drug Targets
121
Advances in genomics have profoundly influenced drug discovery by increasing both the speed and accuracy of pharmaceutical development. Pharmacogenomics, which examines how genetic variation influences drug response, facilitates the identification of novel therapeutic targets and enables patient stratification for personalized treatment. These strategies contribute to improved drug efficacy, minimized adverse effects, and more efficient clinical trial design.Mapping genetic differences...
121
02:46Genetic Screens
4.6K
Genetic screens are tools used to identify genes and mutations responsible for phenotypes of interest. Genetic screens help identify individuals or a group of people at risk of developing genetic diseases and help them with early intervention, targeted therapy, and reproductive options.
Forward genetic screens
Forward or “classical” genetic screens involve creating random mutations in an organism’s DNA using radiation, mutagens, or insertion of additional bases, which...
Forward genetic screens
Forward or “classical” genetic screens involve creating random mutations in an organism’s DNA using radiation, mutagens, or insertion of additional bases, which...
4.6K
01:29Pharmacogenetics and Pharmacogenomics: Overview
253
Pharmacogenetics and pharmacogenomics examine how genetic factors influence an individual's response to drugs. While pharmacogenetics focuses on the impact of specific genetic variants on drug effects, pharmacogenomics takes a broader approach, studying how genetic variation across populations contributes to differences in drug responses. These fields aim to explain why individuals may experience varying levels of efficacy or adverse reactions to the same medication.Variability in drug...
253
01:20Gene-Environment Interactions
1.4K
Gene expression is a dynamic process that is significantly influenced by environmental factors. This interaction underlies the complex nature of biological development and the phenotypic differences observed among individuals, even among those with identical genetic makeups. Factors such as radiation, temperature, behavior, nutrition, and stress play pivotal roles in determining how genes are expressed. The concept of the reaction range is central to understanding this interaction. It posits...
1.4K
01:09Epistasis Analysis
4.9K
Although Mendel chose seven unrelated traits in peas to study gene segregation, most traits involve multiple gene interactions that create a spectrum of phenotypes. When the interaction of various genes or alleles at different locations influences a phenotype, this is called epistasis. Epistasis often involves one gene masking or interfering with the expression of another (antagonistic epistasis). Epistasis often occurs when different genes are part of the same biochemical pathway. The...
4.9K