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Related Concept Videos

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...
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...
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 Material01:20

Genetic Material

Within the human body, a complex and detailed system of trillions of cells works in unison to sustain life. Each cell houses a nucleus, which contains 46 chromosomes divided into 23 pairs. Chromosomes are highly coiled structures made of the genetic material DNA. These chromosomes are essential carriers of genetic information, with half inherited from the mother through her egg and the other half from the father's sperm, combining to create the unique genetic makeup of an individual.
Genetic Screens02:46

Genetic Screens

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 result in visible changes...

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Related Experiment Video

Updated: May 11, 2026

An Allele-specific Gene Expression Assay to Test the Functional Basis of Genetic Associations
10:17

An Allele-specific Gene Expression Assay to Test the Functional Basis of Genetic Associations

Published on: November 3, 2010

Genetic association studies: an information content perspective.

Cen Wu1, Shaoyu Li, Yuehua Cui

  • 1Department of Statistics and Probability, Michigan State University, East Lansing, Michigan 48824.

Current Genomics
|May 2, 2013
PubMed
Summary
This summary is machine-generated.

This review explores information theory in genetic association studies for identifying disease-related variants. It covers information-theoretic methods, entropy for SNP selection, and information criteria for gene networks.

Keywords:
Conditional entropyEntropyEpistasisGene-centric analysisHaplotype analysisMutual informationSingle nucleotide polymorphism.Synergistic effect

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Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry
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Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation

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Related Experiment Videos

Last Updated: May 11, 2026

An Allele-specific Gene Expression Assay to Test the Functional Basis of Genetic Associations
10:17

An Allele-specific Gene Expression Assay to Test the Functional Basis of Genetic Associations

Published on: November 3, 2010

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Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation
07:15

Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation

Published on: January 16, 2019

Area of Science:

  • Genetics
  • Bioinformatics
  • Computational Biology

Background:

  • High-density single nucleotide polymorphisms (SNPs) data enables genome-wide human genetic association studies.
  • Identifying common and rare variants is crucial for understanding complex diseases.

Purpose of the Study:

  • To provide a comprehensive review of genetic association analysis using information theory.
  • To focus on information-theoretic approaches, entropy-based SNP selection, and information criteria in gene network construction.

Main Methods:

  • Review of current literature on information theory applications in genetic association studies.
  • Focus on information-theoretic approaches, entropy-based strategies, and information criteria.

Main Results:

  • Novel genetic variants have been identified, offering hope for future studies.
  • Information-based association tests are gaining popularity in genetic research.

Conclusions:

  • Statistical and computational methods, particularly information theory, are vital for genetic association studies.
  • Information theory offers powerful tools for SNP selection, gene clustering, and network construction.