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Detection of Rare Genomic Variants from Pooled Sequencing Using SPLINTER
Published on: June 23, 2012
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Genomic prediction using pooled data in a single-step genomic best linear unbiased prediction framework.
Johnna L Baller1, Stephen D Kachman2, Larry A Kuehn3
1Department of Animal Science, University of Nebraska, Lincoln, NE.
Journal of Animal Science
|June 5, 2020
Summary
Pooling DNA and phenotypic data in beef cattle is a cost-effective way to improve genetic evaluations. Minimizing phenotypic variation within pools significantly boosts estimated breeding value (EBV) accuracy, especially for animals with initially low accuracy.
Area of Science:
- Animal Genetics
- Quantitative Genetics
- Bioinformatics
Background:
- Economically relevant traits in beef cattle are often not used in genetic evaluations due to unknown pedigrees.
- Genomic data can resolve individual relationships but is expensive.
- DNA and phenotypic data pooling offers a cost-effective alternative for genetic evaluations.
Purpose of the Study:
- To evaluate the effectiveness of pooling DNA and phenotypic data for genetic evaluations in beef cattle.
- To assess the impact of different pooling strategies, pool sizes, and genotyping generational gaps on estimated breeding value (EBV) accuracy.
- To determine the optimal conditions for pooled genotyping to enhance genetic evaluations using commercial data.
Main Methods:
- Simulated pedigree, phenotypic, and genomic data for a 15-generation beef cattle population.
- Genotypes mimicked a 50k marker panel with quantitative trait loci distributed across the genome.
- Estimated breeding values (EBVs) were calculated using a single-step genomic best linear unbiased prediction model, analyzing various pooling strategies and sizes.
Main Results:
- Greatest EBV accuracies were achieved with no generational gap between genotyped parents and pooled offspring.
- Minimizing phenotypic variation within pools increased EBV accuracy by 8-9% compared to random or uniformly maximizing variation.
- Pool sizes of 2, 10, 20, or 50 generally did not decrease EBV accuracy compared to individual data when minimizing phenotypic variation.
Conclusions:
- Pooled genotyping is a plausible strategy for incorporating commercial-level phenotypes into beef cattle genetic evaluations.
- The effectiveness of pooling depends on the chosen pool size and formation strategy, with minimizing phenotypic variation being key.
- Pooling can significantly improve EBV accuracy, particularly for animals with initially low accuracy, making it valuable for management decisions.
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