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Epistasis Analysis

Epistasis Analysis

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...

Protein Networks

Protein Networks

An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...

Gene-Environment Interactions

Gene-Environment Interactions

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...

Structure of a Gene

Structure of a Gene

A gene is the fundamental unit of heredity. Every individual has two copies of each gene, one inherited from each parent. Although most people contain the same genes, there is a small fraction that is slightly different amongst people. A gene with a small difference in its sequence of DNA bases forms different alleles, contributing to different phenotypes.
However, only 1% of the DNA is composed of genes that encode proteins; the rest, 99% is non-coding DNA. This non-coding DNA performs...

Interactions Between Signaling Pathways

Interactions Between Signaling Pathways

Signaling cascades usually lack linearity. Multiple pathways interact and regulate one another, allowing cells to integrate and respond to diverse environmental stimuli.
Convergence and divergence, and cross-talk between signaling pathways
Two distinct signaling pathways can converge on a single functional unit, which may either be a single protein or a complex of proteins. The response is either functionally distinct or synergistic between the two pathways but different from the response...

Protein-protein Interfaces

Protein-protein Interfaces

Many proteins form complexes to carry out their functions, making protein-protein interactions (PPIs) essential for an organism's survival. Most PPIs are stabilized by numerous weak noncovalent chemical forces. The physical shape of the interfaces determines the way two proteins interact. Many globular proteins have closely-matching shapes on their surfaces, which form a large number of weak bonds. Additionally, many PPIs occur between two helices or between a surface cleft and a polypeptide...

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Updated: Jul 5, 2026

Mapping Bacterial Functional Networks and Pathways in Escherichia Coli using Synthetic Genetic Arrays

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Published on: November 12, 2012

Analysis of gene-gene interactions.

Jason H Moore¹

¹Vanderbilt University Medical School, Nashville, Tennessee, USA.

Current Protocols in Human Genetics

|April 23, 2008

Summary

Gene-gene interactions, or epistasis, complicate the search for disease susceptibility genes. This unit reviews methods for detecting these complex genetic interactions in association studies.

Area of Science:

Genetics
Bioinformatics
Biostatistics

Background:

Gene-gene interactions (epistasis) are a significant factor in genetic disease.
Understanding epistasis is crucial for identifying disease susceptibility genes.
Epistasis can complicate traditional genetic association studies.

Purpose of the Study:

To introduce epistasis as a key challenge in genetic research.
To review statistical and computational methods for detecting gene-gene interactions.
To focus on the application of these methods in genetic association studies for discrete and quantitative traits.

Main Methods:

Overview of epistasis and its prevalence.
Review of statistical and computational approaches for detecting gene-gene interactions.

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Focus on methods applicable to genetic association studies.

Main Results:

Epistasis is a common phenomenon that complicates gene discovery.
Various statistical and computational tools exist to detect and characterize epistatic interactions.
Methods are tailored for genetic association studies of discrete and quantitative traits.

Conclusions:

Epistasis presents a complex challenge in identifying disease-related genes.
Effective methods for detecting gene-gene interactions are essential for genetic research.
Further development and application of these methods will advance our understanding of genetic diseases.