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Article Synopsis
  • Classic genome-wide association studies (GWAS) investigate links between single nucleotide polymorphisms (SNPs) and specific traits but often struggle to yield reliable results due to confounding factors like environmental influences and complex genetics.
  • Advanced GWAS models have been developed to improve the detection of true genotype-phenotype associations by offering more flexibility and better statistical power, yet they remain underutilized in comparison to traditional methods.
  • This review aims to summarize the benefits of these advanced models and encourage plant biologists to adopt them for more effective GWAS in studying complex traits.
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