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Genome-wide association studies (GWAS)Genome-wide association studies (GWAS) are a valuable approach to identify single-nucleotide polymorphisms (SNPsSingle nucleotide polymorphisms (SNPs)) associated with a phenotype of interest. There are now a variety of R-packages and command-line tools available to perform GWASGenome-wide association studies (GWAS). Here, we provide an example downloading and filtering SNPSingle nucleotide polymorphism (SNP) data, followed by GWASGenome-wide association studies (GWAS) analysis using the R-package rMVP.

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Genome-Wide Association Study: A Soybean Example

  • 实验方案

  • 发表日期：

    2026年

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  • Shameela Mohamedikbal,
  • Robyn Anderson,
  • Cassandria Tay Fernandez,
  • Yuxuan Yuan,
  • Hawlader A. Al-Mamun,
  • Agnieszka A. Golicz,
  • David Edwards,
  • Philipp E. Bayer

摘要

Genome-wide association studies (GWAS)Genome-wide association studies (GWAS) are a valuable approach to identify single-nucleotide polymorphisms (SNPsSingle nucleotide polymorphisms (SNPs)) associated with a phenotype of interest. There are now a variety of R-packages and command-line tools available to perform GWASGenome-wide association studies (GWAS). Here, we provide an example downloading and filtering SNPSingle nucleotide polymorphism (SNP) data, followed by GWASGenome-wide association studies (GWAS) analysis using the R-package rMVP.