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Related Concept Videos

Epistasis Analysis01:09

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...
Epistasis01:39

Epistasis

In addition to multiple alleles at the same locus influencing traits, numerous genes or alleles at different locations may interact and influence phenotypes in a phenomenon called epistasis. For example, rabbit fur can be black or brown depending on whether the animal is homozygous dominant or heterozygous at a TYRP1 locus. However, if the rabbit is also homozygous recessive at a locus on the tyrosinase gene (TYR), it will have an unshaded coat that appears white, regardless of its TYRP1...
Genome-wide Association Studies-GWAS01:11

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...
Behavioral Genetics and Its Designs01:23

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...
Human Genetics01:28

Human Genetics

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...
Genetic Lingo01:11

Genetic Lingo

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Related Experiment Video

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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

Investigating statistical epistasis in complex disorders.

James C Turton1, James Bullock, Christopher Medway

  • 1Human Genetics, School of Molecular Medical Sciences, Queens Medical Centre, University of Nottingham, Nottingham, UK.

Journal of Alzheimer'S Disease : JAD
|April 13, 2011
PubMed
Summary
This summary is machine-generated.

Investigating epistatic interactions in late-onset Alzheimer's disease (AD) is crucial. This study evaluates methods for detecting gene-gene interactions, like those between interleukin-6 and interleukin-10, to explain missing heritability in AD.

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Last Updated: Jun 2, 2026

In Vivo Modeling of the Morbid Human Genome using Danio rerio
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Published on: August 24, 2013

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Large-Scale Multi-Omics Genome-Wide Association Studies (Mo-GWAS): Guidelines for Sample Preparation and Normalization
08:27

Large-Scale Multi-Omics Genome-Wide Association Studies (Mo-GWAS): Guidelines for Sample Preparation and Normalization

Published on: July 27, 2021

Area of Science:

  • Genetics
  • Computational Biology
  • Neuroscience

Background:

  • Late-onset Alzheimer's disease (AD) exhibits significant missing heritability, suggesting complex genetic factors.
  • Epistatic interactions, or gene-gene interactions, are hypothesized to contribute to this unexplained heritability.
  • Existing statistical methods for epistasis detection often rely on logistic regression.

Purpose of the Study:

  • To evaluate statistical methodologies for detecting epistatic interactions relevant to Alzheimer's disease.
  • To assess the power and sample size requirements for identifying gene-gene interactions, specifically between interleukin-6 and interleukin-10.

Main Methods:

  • Applied three statistical methods: Synergy Factor (SF), PLINK's -epistasis module, and PLINK's -fast-epistasis module.
  • Analyzed simulated data representing synergistic and antagonistic interactions between interleukin-6 and interleukin-10.
  • Determined the sample sizes necessary for achieving statistical significance with each method.

Main Results:

  • Identified both synergistic (SF ≈ 4.2, 1.6) and antagonistic (SF ≈ 0.9, 0.6) interactions between interleukin-6 and interleukin-10.
  • Documented the specific sample size requirements for each tested epistasis detection method.
  • Discussed the power limitations inherent in current statistical approaches for detecting epistasis.

Conclusions:

  • Genome-wide association studies (GWAS) with large sample sizes are essential for robust epistasis detection in AD.
  • The evaluated methods offer different capabilities and limitations for uncovering gene-gene interactions.
  • Understanding epistatic effects is critical for fully explaining the genetic architecture of late-onset Alzheimer's disease.