GAPIT Version 3: Boosting Power and Accuracy for Genomic Association and Prediction

🤖 Plain-English Summary

Genome-wide association study (GWAS) and genomic prediction/selection (GP/GS) are the two essential enterprises in genomic research. Here, we document the current upgrade of GAPIT by describing the selection of the recently developed methods, their implementations, and potential impact.

🔑 Key Findings

• Due to the great magnitude and complexity of genomic and phenotypic data, analytical methods and their associated software packages are frequently advanced.
• GAPIT is a widely-used genomic association and prediction integrated tool as an R package.
• The first version was released to the public in 2012 with the implementation of the general linear model (GLM), mixed linear model (MLM), compressed MLM (CMLM), and genomic best linear unbiased prediction (gBLUP).

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