Genotype Imputation for Predicting Genomic Breeding Values
Author Information
Author(s): Cleveland Matthew A, Hickey John M, Kinghorn Brian P
Primary Institution: Genus plc.
Hypothesis
Can genotype imputation improve the accuracy of genomic breeding values in non-genotyped and low-density genotyped individuals?
Conclusion
Genotype imputation using a long haplotype library can improve genomic breeding value accuracy, although some accuracy is lost compared to high-density genotyping.
Supporting Evidence
- The study created a haplotype library to improve genotype imputation accuracy.
- Imputation accuracy increased with the addition of low-density genotypes.
- The maximum accuracy for imputed genotypes was 0.66, compared to 0.86 for high-density genotyping.
Takeaway
This study shows that we can guess the genetic information of animals that haven't been fully tested, which helps us make better breeding choices.
Methodology
A long haplotype library was created using a long range phasing algorithm and segregation analysis to impute dense genotypes for non-genotyped individuals.
Limitations
The accuracy of genomic breeding values was lower when using imputed genotypes compared to high-density genotyping.
Participant Demographics
The study involved 3226 individuals across five generations, with a mix of genotyped and non-genotyped individuals.
Digital Object Identifier (DOI)
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