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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...
RNA-seq03:21

RNA-seq

RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases. 
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while microarray-based...

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Updated: May 12, 2026

Breeding by Design for Functional Rice with Genome Editing Technologies
09:43

Breeding by Design for Functional Rice with Genome Editing Technologies

Published on: January 3, 2025

Sequencing-based genome-wide association study in rice.

Bin Han1, Xuehui Huang

  • 1National Center for Gene Research, Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200233, China. bhan@ncgr.ac.cn

Current Opinion in Plant Biology
|April 9, 2013
PubMed
Summary

Genome-wide association studies (GWAS) are now feasible in rice, offering insights into genetic variations for crop improvement. This review covers GWAS platforms, strategies, and challenges for exploring rice agronomic traits.

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Area of Science:

  • Agricultural Science
  • Genomics
  • Plant Biology

Background:

  • Rice is a key model crop for functional genomics research due to its modest genome size.
  • Advancements in sequencing technology and extensive germplasm resources make genome-wide association studies (GWAS) viable in rice.
  • Lessons learned from GWAS platforms in human genetics, Arabidopsis, and maize provide a foundation for rice research.

Purpose of the Study:

  • To review the application of genome-wide association studies (GWAS) for exploring allelic variation in rice.
  • To discuss the development of GWAS platforms and strategies tailored for rice.
  • To address the future perspectives and challenges in conducting GWAS for rice agronomic traits.

Main Methods:

  • Review of existing literature on GWAS platforms in model organisms and crops.
  • Discussion of sequencing strategies and experimental designs for rice GWAS.
  • Analysis of challenges and future directions for rice functional genomics.

Main Results:

  • GWAS platforms are adaptable from other species to rice.
  • Specific sequencing and experimental designs are crucial for successful rice GWAS.
  • Understanding allelic variation through GWAS can accelerate rice breeding.

Conclusions:

  • Genome-wide association studies (GWAS) represent a powerful approach for dissecting the genetic basis of complex agronomic traits in rice.
  • Successful implementation of GWAS in rice requires careful consideration of platform construction, sequencing strategies, and experimental design.
  • Addressing current challenges will further enhance the utility of GWAS for rice genetic improvement and functional genomics.