Comparisons of improved genomic predictions generated by different imputation methods for genotyping by sequencing data in livestock populations.

Xiao WangGuosheng SuDan HaoMogens Sandø LundHaja N Kadarmideen

Published in: Journal of animal science and biotechnology (2020)

The current study showed that imputation accuracies were relatively low for GBS with low depths and high for GBS with high depths. Imputation resulted in larger gains in the reliability of genomic predictions for GBS with lower depths. These results suggest that the application of IMPUTE2, based on a corrected GBS (GcIM) to improve genomic predictions for higher depths, and FImpute software could be a good alternative for routine imputation.

Keyphrases

copy number
genome wide
single cell
high throughput
electronic health record
clinical practice
genetic diversity
data analysis
gene expression
machine learning