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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...
Sex Linked Disorders01:43

Sex Linked Disorders

Like autosomes, sex chromosomes contain a variety of genes necessary for normal body function. When a mutation in one of these genes results in biological deficits, the disorder is considered sex-linked.
Pharmacogenomics: Identification of New Drug Targets01:29

Pharmacogenomics: Identification of New Drug Targets

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...
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Dihybrid Crosses

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Genetic Lingo01:11

Genetic Lingo

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Incomplete Dominance01:43

Incomplete Dominance

Gregor Mendel's work (1822 - 1884) was primarily focused on pea plants. Through his initial experiments, he determined that every gene in a diploid cell has two variants called alleles inherited from each parent. He suggested that amongst these two alleles, one allele is dominant in character and the other recessive. The combination of alleles determines the phenotype of a gene in an organism.

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Related Experiment Video

Updated: Jul 10, 2026

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

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Linkage disequilibrium mapping for complex disease genes.

Andrew DeWan1, Robert J Klein, Josephine Hoh

  • 1Department of Epidemiology and Public Health, Yale University School of Medicine, New Haven, CT, USA.

Methods in Molecular Biology (Clifton, N.J.)
|November 7, 2007
PubMed
Summary

This chapter explains gene mapping for human complex traits, covering study design and genotyping. It details statistical analysis methods used in case-control association studies.

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Screening for Functional Non-coding Genetic Variants Using Electrophoretic Mobility Shift Assay (EMSA) and DNA-affinity Precipitation Assay (DAPA)

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Last Updated: Jul 10, 2026

Large-Scale Multi-Omics Genome-Wide Association Studies (Mo-GWAS): Guidelines for Sample Preparation and Normalization
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Screening for Functional Non-coding Genetic Variants Using Electrophoretic Mobility Shift Assay (EMSA) and DNA-affinity Precipitation Assay (DAPA)
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Screening for Functional Non-coding Genetic Variants Using Electrophoretic Mobility Shift Assay (EMSA) and DNA-affinity Precipitation Assay (DAPA)

Published on: August 21, 2016

Area of Science:

  • Genetics
  • Human Complex Traits
  • Gene Mapping

Background:

  • Gene mapping is crucial for understanding the genetic basis of complex human traits.
  • Recent advancements facilitate large-scale genetic studies.

Purpose of the Study:

  • To provide background information on gene mapping for human complex traits.
  • To discuss key considerations in designing and analyzing genetic association studies.

Main Methods:

  • Overview of study design principles for genetic research.
  • Introduction to high-throughput genotyping technologies.
  • Explanation of statistical analysis techniques for association studies.

Main Results:

  • Highlights practical aspects and challenges in gene mapping studies.
  • Draws upon experiences from case-control association studies.

Conclusions:

  • Emphasizes the importance of robust methodology in gene mapping.
  • Provides a foundation for researchers in human complex trait genetics.