Dataset Information

Assessment of alternative genotyping strategies to maximize imputation accuracy at minimal cost.

ABSTRACT:

Background

Commercial breeding programs seek to maximise the rate of genetic gain while minimizing the costs of attaining that gain. Genomic information offers great potential to increase rates of genetic gain but it is expensive to generate. Low-cost genotyping strategies combined with genotype imputation offer dramatically reduced costs. However, both the costs and accuracy of imputation of these strategies are highly sensitive to several factors. The objective of this paper was to explore the cost and imputation accuracy of several alternative genotyping strategies in pedigreed populations.

Methods

Pedigree and genotype data from a commercial pig population were used. Several alternative genotyping strategies were explored. The strategies differed in the density of genotypes used for the ancestors and the individuals to be imputed. Parents, grandparents, and other relatives that were not descendants, were genotyped at high-density, low-density, or extremely low-density, and associated costs and imputation accuracies were evaluated.

Results

Imputation accuracy and cost were influenced by the alternative genotyping strategies. Given the mating ratios and the numbers of offspring produced by males and females, an optimized low-cost genotyping strategy for a commercial pig population could involve genotyping male parents at high-density, female parents at low-density (e.g. 3000 SNP), and selection candidates at very low-density (384 SNP).

Conclusions

Among the selection candidates, 95.5% and 93.5% of the genotype variation contained in the high-density SNP panels were recovered using a genotyping strategy that costs respectively, $24.74 and $20.58 per candidate.

SUBMITTER: Huang Y

PROVIDER: S-EPMC3436735 | biostudies-literature | 2012 Jul

REPOSITORIES: biostudies-literature

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Publications

Assessment of alternative genotyping strategies to maximize imputation accuracy at minimal cost.

Huang Yijian Y Hickey John M JM Cleveland Matthew A MA Maltecca Christian C

Genetics, selection, evolution : GSE 20120731

<h4>Background</h4>Commercial breeding programs seek to maximise the rate of genetic gain while minimizing the costs of attaining that gain. Genomic information offers great potential to increase rates of genetic gain but it is expensive to generate. Low-cost genotyping strategies combined with genotype imputation offer dramatically reduced costs. However, both the costs and accuracy of imputation of these strategies are highly sensitive to several factors. The objective of this paper was to exp ...[more]

PMID: 22849718

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Dataset Information

Assessment of alternative genotyping strategies to maximize imputation accuracy at minimal cost.

Background

Methods

Results

Conclusions

Publications

Assessment of alternative genotyping strategies to maximize imputation accuracy at minimal cost.

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