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GbyE: an integrated tool for genome widely association study and genome selection based on genetic by environmental interaction by Xinrui Liu; Mingxiu Wang; Jie Qin; Yaxin Liu; Shikai Wang; Shiyu Wu; Ming Zhang; Jincheng Zhong; Jiabo Wang is a Biochemistry, Genetics and Molecular Biology article available to read on EtoBox.

What is GbyE: an integrated tool for genome widely association study and genome selection based on genetic by environmental interaction about?

## Background The growth and development of organism were dependent on the effect of genetic, environment, and their interaction. In recent decades, lots of candidate additive genetic markers and genes had been detected by using genome-widely association study (GWAS). However, restricted to computing power and practical tool, the interactive effect of markers and genes were not revealed clearly. And utilization of these interactive markers is difficult in the breeding and prediction, such as genome selection (GS). ## Results Through the Power-FDR curve, the GbyE algorithm can detect more significant genetic loci at different levels of genetic correlation and heritability, especially at low heritability levels. The additive effect of GbyE exhibits high significance on certain chromosomes, while the interactive effect detects more significant sites on other chromosomes, which were not detected in the first two parts. In prediction accuracy testing, in most cases of heritability and genetic correlation, the majority of prediction accuracy of GbyE is significantly higher than that of the mean method, regardless of whether the rrBLUP model or BGLR model is used for statistics. The GbyE

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Author

Xinrui Liu; Mingxiu Wang; Jie Qin; Yaxin Liu; Shikai Wang; Shiyu Wu; Ming Zhang; Jincheng Zhong; Jiabo Wang

Publisher

Springer Science and Business Media LLC

Published

2024

Language

EN

Field

Biochemistry, Genetics and Molecular Biology (Life Sciences)