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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...
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Modern Molecular Taxonomy

Advancements in molecular biology have revolutionized the identification and characterization of bacteria, with multiple methods leveraging DNA sequencing for enhanced precision. As sequencing technologies improve and costs decline, these approaches are increasingly used in clinical, environmental, and evolutionary studies.Multilocus Sequence Typing (MLST) examines several housekeeping genes, essential chromosomal genes encoding cellular functions, to distinguish strains. Approximately...
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Multiple comparison test, abbreviated as MCT, is a post hoc analysis generally performed after comparing multiple samples with one or more tests. An MCT will help identify a significantly different sample among multiple samples or a factor among multiple factors.
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Related Experiment Video

Updated: May 25, 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

Single marker association analysis for unrelated samples.

Gang Zheng1, Jinfeng Xu, Ao Yuan

  • 1Office of Biostatistics Research, National Heart, Lung and Blood Institute, Bethesda, MD, USA. zhengg@nhlbi.nih.gov

Methods in Molecular Biology (Clifton, N.J.)
|February 7, 2012
PubMed
Summary
This summary is machine-generated.

This study presents methods for single marker association analysis for binary and quantitative traits. It details tests like Pearson's chi-squared and linear regression, offering guidance for their application.

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An Allele-specific Gene Expression Assay to Test the Functional Basis of Genetic Associations
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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
  • Biostatistics
  • Statistical Genetics

Background:

  • Single marker association analysis is crucial for identifying genetic variants linked to traits.
  • Existing methods require clear guidelines for application to different trait types.

Purpose of the Study:

  • To present and illustrate methods for single marker association analysis.
  • To provide guidance on selecting appropriate statistical tests for binary and quantitative traits.

Main Methods:

  • For binary traits: Pearson's chi-squared test, trend test, and robust test on case-control data.
  • For quantitative traits: Linear regression models and analysis of variance (ANOVA).
  • Application demonstrated using the R package "Rassoc" and R functions.

Main Results:

  • Detailed methodologies for analyzing genetic associations with binary and quantitative traits are provided.
  • Practical examples showcase the implementation of various statistical tests.
  • Guidelines for choosing appropriate tests based on trait type are offered.

Conclusions:

  • The study offers a comprehensive overview of single marker association analysis methods.
  • It facilitates the practical application of these methods in genetic research using R.
  • Researchers are equipped with the knowledge to select suitable statistical tests for their data.