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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: Sep 21, 2025

Author Spotlight: Integrating Biochemical Functions of β-Glucanases and Peroxidase Enzymes in Wheat-RWA Interaction

Author Spotlight: Integrating Biochemical Functions of β-Glucanases and Peroxidase Enzymes in Wheat-RWA Interaction

Published on: July 26, 2024

GWAS Case Studies in Wheat.

Deepmala Sehgal¹, Susanne Dreisigacker²

¹International Maize and Wheat Improvement Center (CIMMYT), Carretera Mex-Veracruz, Texcoco, CP, Mexico. d.sehgal@cgiar.org.

Methods in Molecular Biology (Clifton, N.J.)

|May 31, 2022

Summary

This summary is machine-generated.

Genome-wide association studies (GWAS) in wheat are advancing rapidly with new models and data integration. These innovative approaches enhance trait dissection and genetic discovery in this vital crop.

Keywords:

Eigen-GWAS Environmental GWAS Epistatic interactions Haplotypes MetaGWAS Multilocus GWAS

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Untargeted Liquid Chromatography-Mass Spectrometry-Based Metabolomics Analysis of Wheat Grain

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Last Updated: Sep 21, 2025

Author Spotlight: Integrating Biochemical Functions of β-Glucanases and Peroxidase Enzymes in Wheat-RWA Interaction

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Published on: July 26, 2024

Development of Targeting Induced Local Lesions IN Genomes TILLING Populations in Small Grain Crops by Ethyl Methanesulfonate Mutagenesis

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Untargeted Liquid Chromatography-Mass Spectrometry-Based Metabolomics Analysis of Wheat Grain

Untargeted Liquid Chromatography-Mass Spectrometry-Based Metabolomics Analysis of Wheat Grain

Published on: March 13, 2020

Area of Science:

Agricultural Science
Genetics
Bioinformatics

Background:

Next-generation sequencing has generated millions of single nucleotide polymorphisms (SNPs) in wheat.
Genome-wide association study (GWAS) is a primary method for dissecting complex traits in crops.
Standardized GWAS approaches are routine, but newer methods offer significant advancements.

Purpose of the Study:

To review the latest advancements in genome-wide association studies (GWAS) in wheat.
To highlight studies employing novel GWAS models and data integration strategies.
To showcase how these advanced methods elevate trait dissection and genetic discovery in wheat.

Main Methods:

Review of recent literature on wheat GWAS.
Focus on advanced GWAS methodologies: meta-GWAS, multilocus GWAS, haplotype-based GWAS, Environmental-GWAS, Eigen-GWAS.
Integration of GWAS with gene regulatory network, pathway, and epistasis analyses.

Main Results:

Numerous wheat GWAS studies have been published, identifying genetic loci for various traits.
Newer models and combined data approaches significantly enhance the power and precision of GWAS.
Advanced analyses reveal complex genetic architectures and interactions influencing wheat traits.

Conclusions:

The application of advanced GWAS techniques is revolutionizing trait dissection in wheat.
Integration of diverse data types and sophisticated models pushes the boundaries of association mapping.
These advancements promise accelerated progress in wheat genetic improvement and breeding.