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Genome-wide Association Studies-GWAS

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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Related Experiment Video

Updated: Jun 4, 2026

Informatic Analysis of Sequence Data from Batch Yeast 2-Hybrid Screens

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Published on: June 28, 2018

Manipulating HapMap Data Using HaploView.

Albert Vernon Smith

|March 2, 2011

Summary

This summary is machine-generated.

The International Haplotype Map Project created a human genome map of genetic variations using millions of single-nucleotide polymorphisms (SNPs). This resource accelerates disease gene discovery and is accessible via the HapMap website and HaploView software.

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Last Updated: Jun 4, 2026

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Area of Science:

Genomics
Human Genetics
Bioinformatics

Background:

The International Haplotype Map Project aimed to map common human genetic variations.
Understanding these variations is crucial for identifying genetic causes of diseases.

Purpose of the Study:

To describe the development and accessibility of a haplotype map of the human genome.
To introduce HaploView as a tool for analyzing HapMap data.

Main Methods:

Genotyping of approximately 3.9 million single-nucleotide polymorphisms (SNPs) in 270 individuals from four populations.
Data compilation and public release through the HapMap website.
Utilizing the HaploView program for advanced data analysis and visualization of linkage disequilibrium (LD).

Main Results:

A comprehensive haplotype map of the human genome has been generated.
The HapMap data, including millions of SNPs, is publicly available.
HaploView provides advanced visualization and analysis capabilities for linkage disequilibrium.

Conclusions:

The HapMap project provides a valuable resource for accelerating the discovery of genetic factors underlying human diseases.
The HapMap website and HaploView software offer powerful tools for researchers to explore human genetic variation data.